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Post-doctoral Researcher in Computational modelling of hippocampal circuits (Blue Brain Porject, Switzerland)

by Armando Romani

Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a *Post-doctoral Researcher in Computational modelling of hippocampal circuits*. Improve the existing large-scale models of rodent hippocampus. The current network models are already the product of several iterations and their emergent behavior can reproduce many features of the hippocampus. The work on the models continues by expanding the region of interest from CA1 (the first region we considered) to the full hippocampus, and eventually by connecting the hippocampus to the rest of the brain. In parallel, the models will include more or more details. For example, we are working on including gap junctions, long-term plasticity, structural plasticity, neuromodulation, glia, vasculature, and so on. Exploit the models to answer outstanding questions in the field, such as information processing in the hippocampus, spatial navigation, memory processes, development of pathological conditions (Alzheimer’s disease, epilepsy). The models are designed not to answer one specific question, but for a general purpose. This ensures a larger validity of the models and allows us to potentially test many different hypotheses and make likewise predictions. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/1005/Description/2 — Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190

Oct. 16, 2019

Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits (Blue Brain Porject, Switzerland)

by Armando Romani

Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a* Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits*. The goal of this project is to leverage the Blue Brain software and existing thalamic models to build and validate biologically-accurate models of thalamo-cortical circuitry. Modelling these circuits is a crucial step to investigate brain functions, such us sensory transmission, sleep rhythms, wakefulness, alertness. The successful candidate would be responsible for gathering data about thalamo-cortical circuits from the literature, open-access datasets and in vitro studies in collaboration with the experimental lab. Interactions with biology and experimental experts would be fundamental to validate and confirm model predictions. In addition, the candidate would provide guidance and scientific expertise to the technical teams and contribute to the on-going refinement of workflows and tools to build data-driven unifying brain tissue models. Furthermore, the candidate will work in collaboration with engineering teams on visualization, high performance computing, data integration and with project managers to define objectives and timelines to achieve overarching objectives and meet aggressive deadlines. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/827/Description/2 — Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190

Oct. 16, 2019

Human Neocortical Neurosolver New Features & SFN 2019 Demos

by Stephanie Jones

We are happy to announce several exciting developments with the new Human Neocortical Neurosolver (HNN) software designed for cell and circuit interpretation of human EEG/MEG. 1. An updated version of HNN with a new, frequently requested feature of parameter optimization (with a tutorial) is now available. Check it out at hnn.brown.edu. 2. HNN will be presented with live demonstrations at SFN 2019 in Chicago, IL. Sunday October 20th 11-11:30am Carney Booth 2129 Sunday October 20th 6:30-8:30pm BRAIN Initiative Alliance Tools & Technology Social Hyatt Regency McCormick Place, Ballroom CD Monday October 21th 11-11:30am Carney Booth 2129 Monday October 21st 6:45pm Open-Source Technology Social Hyatt Regency McCormick Place, Room N135 Wednesday October 23rd 1-5pm McCormick Place: Hall A. Poster 729.06 3. A HNN methods paper is now available on bioRxiv (Neymotin et al, BioRxiv 2019:740597. https://doi.org/10.1101/740597 <https://doi.org/10.1101/740597>) ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

Oct. 16, 2019

AREADNE 2020 Conference Announcement

by John Pezaris

AREADNE 2020 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 16-20 June 2020 http://areadne.org info(a)areadne.org The AREADNE conferences bring scientific leaders from around the world to present their recent findings on the functioning of neuronal ensembles in an informal yet spectacular setting on Santorini. The conference series emphasizes interaction with a size and pace that encourages in-depth discussion. Interested researchers are strongly encouraged to submit an abstract for poster presentation as attendance is strictly limited, and the conference typically sells out. Abstract submission deadline is 24 Jan 2020. Send us your best work!

Oct. 15, 2019

Reminder: 1st Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019

by Michael Denker

Reminder for the ***1st Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Paris, France Nov 4-6, 2019 Summary: In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series. In addition, participants receive help in integrating their own data into such analysis workflows. The topics covered will be: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring of analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing using the HBP Collaboratory [4] For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum Jülich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ [4] HBP Collaboratory, https://collab.humanbrainproject.eu ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Oct. 15, 2019

Neuroimaging data scientist position in Marseille, France

by Sylvain Takerkart

Neuroimaging Data Scientist Multimodal neuroimaging study of cerebellar anomalies in Parkinson’s disease The project SENCE (Movement disorders in Parkinson’s disease: The role of somatosensory deficits and cerebellar anomalies) is funded by the French National Research Agency (ANR) and conducted in collaboration with the University of Oxford (Medical Research Council - MRC). It investigates the anatomical anomalies and abnormal metabolism of the cerebellum resulting from basal ganglia deregulation in Parkinson’s Disease (PD), which may contribute substantially to motor deficits. To this aim, we collect in PD patients (and healthy controls) an original multimodal neuroimaging dataset, comprising anatomical, diffusion-weighted (DWI), and resting state fMRI (rs-fMRI), as well as FDG-PET images, complemented by behavioural and electrophysiological recordings (EEG/intracranial LFP) collected in the same participants during motor tasks performed ON/OFF dopaminergic medication and/or ON/OFF deep brain stimulation (using open- or closed-loop adaptive stimulation protocols). -- Missions -- The data scientist will be responsible to set-up processing pipelines dedicated to analyzing the different neuroimaging scan types (MRI and PET), both at the full-brain level and with a particular focus on the characterization of the anatomy, connectivity and metabolism of the cerebellum. These neuroimaging results will also be combined with behavioural and electrophysiological data which will be analysed by other members of the project team. Furthermore, the data scientist will organize the raw and processed data in a standardized fashion to make it accessible to all the consortium and to the scientific community at large. These missions fall into our commitment to reproducible science through open code and data. -- Profile -- This position is for a candidate who is comfortable (or proficient) with computer programming (python will be our language of choice; matlab will also be used) and has good knowledge and/or experience in signal and image processing. It can be of interest to different types of profiles. You are a young graduate (BSc or MSc) either in data science, in electrical engineering or in neuroscience and you want to be at the heart of an innovative medical imaging project, with the possibility to continue as a PhD student. Or you already have a PhD in a relevant field and you want to take this opportunity to fulfill the aforementioned missions while getting further involved in the research aspects of the project, which should offer excellent opportunities for publications in neuroscience or methodological journals. -- Working environment -- The Institut de Neurosciences de la Timone (INT) is one of the top French neuroscience research institutes with 150 staff members gathered in 10 inter-disciplinary teams examining different aspects of the cerebral organization. It is located on the medical campus of Aix-Marseille University. The successful candidate will join the SENCE project’s team within INT and will interact with cognitive neuroscientists, theoretical neuroscientists as well as specialists in neuroimaging data acquisition and processing. Marseille, the second largest city in France, is a vibrant inter-cultural hub located on the Mediterranean shore, and only 2h away from the Alps mountains. The position is initially open for one year, with a possible renewal for two more years. Starting date can be as early as December 2019 and can be postponed until the position is fulfilled. If you are interested, please send your resume and cover letter to: Sylvain_DOT_Takerkart_AT_univ-amu_DOT_fr and Nicole_DOT_Malfait_AT_univ-amu_DOT_fr -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France tél: +33 (0)4 91 324 007 http://www.int.univ-amu.fr/_TAKERKART-Sylvain_?lang=en

Oct. 15, 2019

ANDA 2020 - G-Node Advanced Neural Data Analysis Course, April 14-30, 2020, Jülich, Germany

by Thomas Wachtler

ANDA 2020 - G-NODE ADVANCED NEURAL DATA ANALYSIS COURSE April 14 - 30, 2020 Haus Overbach, Jülich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). FACULTY · Moshe Abeles, Hebrew Univ. Jerusalem, Israel · Michael Denker, Jülich Research Center, Germany · Udo Ernst, Univ. Bremen, Germany · Sonja Grün, Jülich Research Center, Germany · Adam Kohn, Albert Einstein College of Medicine, New York, USA · Jakob Macke, TU Munich, Germany · Luca Mazzucato, Univ. of Oregon, Eugene, USA · Martin Nawrot, Univ. of Cologne, Germany · Yifat Prut, Hebrew Univ. Jerusalem, Israel · Hansjörg Scherberger, German Primate Center, Göttingen, Germany · Thomas Wachtler, LMU Munich, Germany TOPICS COVERED Single neuron properties and statistics · Stochastic processes · Surrogate methods · Detection of spatio-temporal patterns · Unitary Events · Statistical analysis of massively parallel spike data · Higher-order correlation analyses · Elephant toolbox · Spike-LFP relationship · Population coding · State space analysis · Machine learning · Data mining · Research data management and reproducibility REQUIREMENTS Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. COURSE FEE A course fee of 1000 Euros will be charged to cover costs for accommodation and meals. Limited financial support may be available for students that otherwise would not be able to attend, which is to be indicated in the application. HOUSING Accommodation in 2-bed rooms for students will be provided at the course site. HOW TO APPLY The application should include · a letter of motivation (max 1 page) · curriculum vitae (please indicate the relevant courses you have taken) · description of programming experience · a letter of recommendation. Please send all documents as a single PDF file to <advanced-course(a)g-node.org>. APPLICATION DEADLINE Applications must be received by NOVEMBER 15, 2019. Early application is encouraged. For further information see http://www.g-node.org/anda

Oct. 15, 2019

Open-Rank Position: Bilkent University

by Hulusi Kafaligonul

*Open-Rank Position, Aysel Sabuncu Brain Research Center and National Magnetic Resonance Research Center (UMRAM) at Bilkent University* Bilkent University invites faculty applications (rank open) for a position in the Aysel Sabuncu Brain Research Center and National Magnetic Resonance Research Center (UMRAM). The strategic plan includes an expansion of research related to molecular and cellular neuroscience. Accordingly, we seek applications from promising or established scholars who have worked in this or a related field, and who integrates or plans to integrate neuroimaging in their studies. The newly built research center has spacious state-of-the-art molecular and cellular laboratories, in addition to animal research facilities. An Interdisciplinary Graduate Program in Neuroscience offers Master's and PhD programs that was opened five years ago. Finally, there are also human psychophysics, EEG laboratories and two MRI scanners (3T and 1.5T) with plans to purchase a high field scanner (7T) for animal studies. Bilkent is located in Ankara, Turkey's metropolitan capital with daily direct flights to Istanbul and other major European cities. Bilkent University also provides faculty members and their families with free housing and access to private health insurance. Qualifications and Responsibilities: Applicants should have a PhD in neuroscience or related discipline, and should have an excellent publication record (requirements vary with rank). A demonstrated ability or the potential to secure external research funding will be a strong advantage. Faculty members are expected to maintain productive research programs. Successful applicants will teach during the Fall and Spring semesters with no teaching requirement during summer, and supervise PhD and Master's students. Appointment: This full-time appointment will begin in September 2020 (negotiable). Salary will be internationally competitive and commensurate with qualifications and experience. *Application Procedure* Applicants should submit 1. a cover letter; 2. CV; 3. research statement; 4. teaching statement; 5. pdf copies of 3 representative publications; and 6. contact information for 3-5 professional references. Review of applications will commence on November 30, 2019 and continue until the position is filled. Inquiries about the university should be directed to Hulusi Kafaligonul athulusi(a)bilkent.edu.tr <mailto:hulusi@bilkent.edu.tr>or +90 312 290 3016.To apply please go to the following link: https://stars.bilkent.edu.tr/staffapp/UMRAM2019For more information, please visit the following websites: beyin.bilkent.edu.tr <http://beyin.bilkent.edu.tr/> umram.bilkent.edu.tr <http://umram.bilkent.edu.tr/> neuro.bilkent.edu.tr <http://neuro.bilkent.edu.tr/> bilkent.edu.tr <http://bilkent.edu.tr/> -- Hulusi Kafaligonul Assistant Professor National Magnetic Resonance Research Center Interdisciplinary Neuroscience Program Bilkent University, Ankara, Turkey http://hulusi.bilkent.edu.tr/ -- Bu e-posta virüslere karşı Avast antivirüs yazılımı tarafından kontrol edilmiştir. https://www.avast.com/antivirus

Oct. 14, 2019

PhD and Postdoc positions in Frankfurt, Germany

by Martin Vinck

Apologies for cross-posting: The laboratory of Dr. Martin Vinck at the Ernst Struengmann Institute for Neuroscience in Cooperation with Max Planck Society <http://www.esi-frankfurt.de/esi-frankfurt/>is seeking multiple Postdocs and PhDs for experimental projects in marmoset (ideally starting early spring of 2019). We will study predictive processing in the visual system, test new models of object recognition, and the contribution of different cell types to neural coding. Data will be collected with chronic, high-density silicon probes including wireless recordings during (freely moving) natural behavior (using the eCube white matter system). A part of the project involves optogenetics. Additional training in high-density electrophysiology can be acquired by participation in projects in mice. You will work closely together with computational scientists in our laboratory working on deep learning and state space analyses. The main focus of the project is the interpretation of neural activity from artificial neural networks (in particular recurrent and predictive neural networks) and the study of population coding. We are looking for candidates with a biology or medicine background and experience in behavioral training and electrophysiology. Frankfurt is an internationally oriented city with many neuroscience institutes in the neighbourhood, e.g. the Max Planck Institute for Brain Research <http://brain.mpg.de/home.html>, the FIAS <https://fias.institute/>, the Interdisciplinary Center for Neuroscience <https://www.izn-frankfurt.de/en/>, and the institute for Empirical Aesthetics. Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck(a)esi-frankfurt.de. The first deadline for applications is 7 of November 2019. Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained, and the names of at least two scientists who can give references (or at least two reference letters). The advertisement will be valid until positions are filled. Positions are not yet filled.

Oct. 12, 2019

PhD studentship in Bristol

by Cian O'Donnell

We are looking for a computational neuroscience PhD student to start September 2020 to do computational modelling of synaptic plasticity in neurodevelopmental brain disorders. You would mainly be based in the University of Bristol in the group of Cian O’Donnell, and co-supervised by Krasi Tsaneva-Atanasova (University of Exeter) and Jeremy Hall (Cardiff University). Your background can be flexible but training in neuroscience, mathematical modelling and/or scientific programming would be beneficial. Usually we use Julia, Python or Matlab programming languages. Project outline: Autism and Schizophrenia, two of the most common neurodevelopmental disorders, have been linked with ~100 different genetic mutations each. Many of the implicated genes code for proteins involved in synaptic plasticity. It may be that these distinct mutations converge to give similar alterations to the “rules of synaptic plasticity”, and therefore affect learning and development. L-type calcium channel are one notable example, frequently popping up in risk gene lists and known to play crucial roles in synaptic plasticity. In this PhD project you would extend our existing biophysical models of calcium signalling at rodent hippocampal synapses to try to figure out the role of dysfunctional L-type calcium ion channels in these brain disorders. A more detailed project description can be found here: https://www.gw4biomed.ac.uk/wp-content/uploads/sites/9/2019/09/Computationa… The project will involve numerical simulations with Cian O’Donnell (Bristol), mathematical analysis of reduced models with Krasi Tsaneva-Atanasova (Exeter), using electrophysiological and calcium imaging data from genetic animal models of neuropsychiatric disorders collected in the lab of Jeremy Hall (Cardiff). You would apply directly to the MRC GW4 BioMed PhD program (https://www.gw4biomed.ac.uk) which spans Bristol, Cardiff, Exeter and Bath Universities. Application deadline is 25th November and open only to UK or EU citizens or residents (see GW4Biomed site for eligibility details). Please contact Cian O’Donnell (cian.odonnell(a)bristol.ac.uk<mailto:cian.odonnell@bristol.ac.uk>) to discuss before applying. More info on Cian O’Donnell’s group: https://seis.bristol.ac.uk/~co15268 And the lively Bristol Computational Neuroscience Unit: https://bristolcnu.github.io Krasi Tsaneva-Atanasova: https://emps.exeter.ac.uk/mathematics/staff/kt298 Jeremy Hall: https://www.cardiff.ac.uk/people/view/57718-hall-jeremy

Oct. 12, 2019

2 Postdocs and 1 Project Manager on H2020 grant

by Michele Giugliano

2 Post-doctoral positions and 1 Project Manager position are available at the newly established Neural Dynamics Laboratory of the International School of Advanced Studies (SISSA) of Trieste, Italy (http://phdneurobiology.sissa.it/eng/faculty/michele-giugliano.aspx <http://phdneurobiology.sissa.it/eng/faculty/michele-giugliano.aspx>). The positions are funded for up to 42 months on a new EC-Horizon 2020 initiative called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)", combining neurobiology, nanotechnologies, electrochemistry, and electronics together for designing a breakthrough novel technology in brain modulation. The research positions aim to experimentally validate novel routes for cellular and microcircuit stimulation or suppression, in collaboration with a consortium of partners which includes IBM Research Zurich, the University of Geneva, the University of Sheffield, and the Inter-university consortium for Nanoelectronics. We search for experts in in vitro electrophysiology (substrate-integrated microelectrode arrays) and patch-clamp recordings (dissociated cell cultures, acute and organotypic brain tissue slices) with a strong background in quantitative data analysis and a strong interest for interdisciplinary research. The Project Manager position aims at supporting the organization, dissemination, and reporting activities in the context of EC-funded project and partially at supporting scientific software development. We search for candidates with previous experience in management of H2020 project, and fluent with the reporting EC online platform (e.g. Participant Portal) who might also be interested in providing partial support for content management of a web site as well as for scientific software applications development. Please direct informal inquiries, a CV and a brief statement of interest, to Prof. Michele GIUGLIANO (michele.giugliano AT sissa.it) Direct application soon available from the SISSA's website: https://www.sissa.it/recruitment <https://www.sissa.it/recruitment>

Oct. 11, 2019

Postdoctoral / Research Specialist position in Neural Circuits and Behavior

by Reiser, Michael

Postdoctoral / Research Specialist position in Neural Circuits and Behavior The Reiser lab at the Janelia Research Campus (https://www.janelia.org/lab/reiser-lab) seeks a creative scientist to join us in figuring out how the fly brain uses visual information to control behavior. We use behavioral, anatomical, imaging, electrophysiological, and computational methods to understand the neural circuits for vision and navigation in Drosophila. This is an exciting time to be working on the fly brain—full brain connectomes and precise genetic access to nearly every cell type in the brain are on the horizon. We pair these tools with high-throughput, high-content exploration of Drosophila behaviors. In this position, you would apply these methods to deeply map behavioral circuits. Many project directions are possible that are related to active research topics in the lab: • visual motion guided behaviors • visual place learning • central modulation of vision Requirements: • A keen interest in figuring out the brain. • Ph.D. in experimental biology, neuroscience, or a quantitative field. • Familiarity with scientific computing environments • Experience in some of these areas: instrumentation, computer vision, and machine learning, neurophysiology, animal behavior, Drosophila molecular/genetic methods, neuroanatomy. Janelia is a unique, exciting research environment near Washington, D.C., with abundant opportunities for collaboration and learning new things. Interested applicants should apply by email; please include your curriculum vitae and research interests and arrange for three letters of reference to be sent to reiserm at janelia.hhmi.org. The Reiser lab is committed to maintaining a diverse and inclusive environment. Members of groups underrepresented in science are especially encouraged to apply. HHMI is an equal opportunity employer.

Oct. 10, 2019

PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany

by Laurenz Wiskott

Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Anticipated starting date is Feb 1st. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

Oct. 10, 2019

PhD & Postdoc positions – computational modeling and real-time fMRI neurofeedback of language, bilingualism and dyslexia

by Narly Golestani

PhD & Postdoc positions – computational modeling and real-time fMRI neurofeedback of language, bilingualism and dyslexia PhD and Postdoc positions are available at the Brain and Language Lab (www.brainandlanguagelab.org<http://www.brainandlanguagelab.org>) at the University of Geneva. The PhD position is for 3-4 years, and the postdoc position is for up to 4 years, and salary will be commensurate with experience. Several projects will be done in collaborations with Maastricht University and with the University of Vienna. Applicants should have a strong interest in human brain imaging, and in language function and dysfunction, and should have one of (or a combination of) the following profiles: 1. Candidates with a degree in Biomedical Engineering, Computational Neuroscience, or a related field, and with solid experience in computational modelling (i.e. encoding / decoding) of fMRI data, machine learning, statistics and programming. Projects will include extensions of our recent work on the neural encoding of acoustic information in speech sounds (https://www.ncbi.nlm.nih.gov/pubmed/31285622) to higher levels of language processing. 2. Candidates with a degree in Cognitive Neuroscience, Biomedical Engineering and/or Psychology, with solid experience in the acquisition and analysis of brain functional (and structural) imaging data. Projects will include real-time fMRI neurofeedback training studies, focusing on different levels/aspects of language learning. Candidates for either position (depending on experience) will also have the opportunity to become involved in the analysis of data from a 7T myelin mapping (R1) study. The positions are available immediately, and applications will be considered until the position is filled. Applicants should send me their CV, a statement of research interests, and the names and contact information for 2-3 references, at Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch>. ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Prof. Narly Golestani Brain and Language Lab Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

Oct. 10, 2019

computational neuroscience PhD positions at Imperial College

by Dan Goodman

Two or more PhD positions in theoretical and computational neuroscience are available in the "Neural Reckoning" group of Dan Goodman at Imperial College London (http://neural-reckoning.org) I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas relating to the work in the group. Some suggestions for topics that would be interesting to me are below, but I'm very happy to consider other possibilities. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial and in the many neuroscience groups in London. At the moment, I'm particularly interested in using techniques from machine learning to generate biologically plausible models that can also perform complex tasks. I'm also generally interested in how to perform computations with spiking neurons, and the computational role of neural mechanisms (such as spiking and heterogeneity). I often work in the auditory system, which is particularly interesting when thinking about temporal processing. Finally, I'm one of the authors of the "Brian" spiking neural network simulator (http://briansimulator.org) and I'm always interested in students who want to work on neuroinformatics projects such as simulation or neural data analysis. For more details, see: http://neural-reckoning.org/openings.html Applicants should initially send me a brief CV and cover letter with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (http://www.imperial.ac.uk/electrical-engineering/study/phd/) I will consider applications as they arrive, so earlier applications are encouraged. EU students from outside the UK are particularly encouraged to apply early because any offer made before Brexit will be respected on the basis of current rules, while the status of offers made after Brexit may be more complicated if a no deal Brexit goes ahead (although this is unlikely as the UK parliament has declared that to be illegal, but you never know). For more information on Brexit: https://www.imperial.ac.uk/about/imperial-and-the-european-union/support-fo… Before applying, please make sure you meet the Imperial College exam grade requirements: * General requirements: https://www.imperial.ac.uk/study/pg/apply/requirements/ * Country-specific minimum grades: https://www.imperial.ac.uk/study/pg/apply/requirements/pgacademic/ Dan Goodman

Oct. 9, 2019

Two MSc/PhD positions in Computational Neuroscience

by Yalda Mohsenzadeh

Two MSc/PhD positions in Computational Neuroscience The Cognitive Neuroscience and Artificial Intelligence Lab (CogNeuroAI Lab) at the University of Western Ontario in Canada, Department of Computer Science & the Brain and Mind Institute (BMI) has two MSc/PhD position openings in the field of cognitive computational neuroscience to start in January or May 2020. The positions offer a competitive stipend for the graduate students. The nature of these positions will provide the graduate students with opportunities to work on interdisciplinary collaborative projects. We are looking for motivated students to join exciting projects in our lab in developing cutting-edge computational methods to analyze brain MEG/EEG/fMRI data. We also train state of the art compute vision models and compare human brain MEG/EEG/fMRI data with inter units of the models. Please contact us if you are interested in cutting-edge interdisciplinary research. Candidates should have at least a Bachelors or Masters degree in Biomedical Engineering, Neuroscience, Computer Science or related fields. Having good programming skills in MATLAB, Python, and deep learning frameworks like Pytorch and experience in machine learning, compute vision, neuroscience experiments or brain data analysis will be a plus. Though there are lots of opportunities to learn these skills as well. Applicants should submit a cover letter, resume, a brief summary of the current and past research experience, TOEFL/IELTS (for international students only), official/unofficial master and bachelor academic transcripts to Dr. Yalda Mohsenzadeh (ymohsenz(a)uwo.ca) Please send all your documents as a single PDF file. Applications will be considered until the positions are filled. See our website for more information: https://mohsenzadehlab.com/ Best, Yalda Mohsenzadeh Assistant Professor, The Brain and Mind Institute, Department of Computer Science, The University of Western Ontario, London, Ontario, Canada

Oct. 8, 2019

[Special Issue CfP]: Machine Learning Techniques for Neuroscience Big Data

by Mufti Mahmud

Apologies for cross-posting. CALL FOR PAPERS Brain Informatics (*https://braininformatics.springeropen.com <https://braininformatics.springeropen.com>*) Special Issue on *Machine Learning Techniques for Neuroscience Big Data* Guest Editors • Mufti Mahmud, Nottingham Trent University, UK, Mufti.Mahmud(a)ntu.ac.uk • M Shamim Kaiser, Jahangirnagar University, Bangladesh, mskaiser(a)juniv.edu • Ganesh K Naik, Western Sydney University, Australia, Ganesh.Naik(a)westernsydney.edu.au Developing data-intensive tools to process and analyse the neuronal big data is one of the biggest challenges posed to today’s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special issue aims to provide a forum for scientists from diverse disciplines including – computer, electrical, biomedical, and neuro-engineering – who are looking for more relevant information in interpreting brain functions and diagnosing diseases using Machine Learning based techniques. This Special Issue will focus on the latest machine learning techniques and methods of analysing Neuroscience Big Data. Researchers and practitioners working in related areas are invited to submit research papers for possible publication in this issue. The topics may include but are not limited to the following list: • Processing and modelling of neuronal data for disease diagnosis and brain decoding; • Bio-inspired methods for network analysis and pattern recognition in neural data; • Novel machine learning techniques for neuronal big data analysis; • Application of deep and/or reinforcement learning to neuronal big data analysis; • Computationally intelligent techniques for neuroscience applications; • Machine learning inspired Neuroinformatics (including cloud computing and real-time systems). Important Dates --------------------- • Paper submission deadline: December 31, 2019 • First-round notification: January 31, 2019 • Final decision notification: March 31, 2020 Submission Instructions For submission instructions please visit the journal website at *https://braininformatics.springeropen.com/submission-guidelines <https://braininformatics.springeropen.com/submission-guidelines>* or contact *Dr. Mufti Mahmud at Mufti.Mahmud(a)ntu.ac.uk <Mufti.Mahmud(a)ntu.ac.uk>* The complete manuscript should be submitted through online submission system at: *https://www.editorialmanager.com/brai/default.aspx <https://www.editorialmanager.com/brai/default.aspx>* Best regards, Mufti Mahmud, PhD | Senior Member - IEEE & ACM (Senior) Lecturer of Computing & Technology | Nottingham Trent University Associate Editor, IEEE Access & Brain Informatics Editorial Board Member, Cognitive Computation & Big Data Analytics Programme Co-chair, IEEE CICARE2019, Xiamen, China Workshop Co-chair, Brain Informatics 2019, Hainan, China Coordinator of Local Organizing Committee, IEEE WCCI2020, Glasgow, UK Office: ERD200 | Clifton Campus | Clifton Lane | NG11 8NS – Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud(a)ntu.ac.uk http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://sites.google.com/site/muftimahmud/ https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud

Oct. 8, 2019

Seeking 2 phd students (Mathematical, Computational and Experimental Neuroscience)

by Serafim Rodrigues

Hello, I am looking for two PhD students to work in my MCEN lab within the Basque Centre for Applied Mathematics (Bilbao/Spain; http://www.bcamath.org/) on research questions at the interface between Mathematical, Computational and Experimental Neuroscience. The application period closes soon, however the phd project would start in September 2020 (according to the Spanish law). We are seeking students who either, are undertaking their MSc degree or already have completed it. We encourage students with background training in either Maths, Physics, Computer Science or Engineering to apply. Desirably, we would like students that have an interest in understanding brain dynamics and willing to work at the interface between mathematics, data and lab work. Moreover, students with programming skills are desirable. Those interested, please contact Prof. Serafim Rodrigues at srodrigues(a)bcamath.org The application will involve submitting the following documents: CV, official under graduate or MSc grades. We hope to hear from you. With many thanks Serafim -- Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)*

Oct. 7, 2019

Post-docs at the Krembil Centre for Neuroinformatics (CAMH UofT) in Toronto

by Andreea Diaconescu

Dear all, We are hiring post-docs at the Krembil Centre for Neuroinformatics in Toronto! We are looking for a post-doc with a strong background in computational neuroscience or computational psychiatry, or both. More details about the lab and the position can be found on the lab website - Cognitive Network Modelling team https://cognemo.com/. Our team will focus particularly on computational phenotyping of suicidal ideation in psychoaffective disorders. The postdoc will be joining an interdisciplinary lab at the Krembil Centre for Neuroinformatics (CAMH & University of Toronto) that works at the intersection of computational neuroscience, psychiatry, pharmacology, and cognitive neuroscience. CAMH is one of the largest addiction and mental health organisations in North America and Canada’s leading mental health and addiction teaching hospital. It offers a unique research environment with access to state-of-the-art imaging facilities (PET, 3T MRI, hd-EEG). The Krembil Centre for Neuroinformatics within CAMH aims to transform our understanding of mental health by modelling data across all levels of the brain —from genes to neural circuits to behaviour. This multimodal data is gathered across the clinical environment including genetic, epigenetic, MRI, DTI, fMRI, hd-EEG, actigraphy and electronic medical record data. All the details about the position can be found here: link<https://polybox.ethz.ch/index.php/s/fZuWtVM5l1X2zbq>. Potential candidates may contact me directly and I am more than happy to talk about the position and potential projects in person. With many thanks and my best wishes, Andreea Diaconescu Andreea Diaconescu, PhD Independent Scientist, Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health (CAMH) Assistant Professor, Department of Psychiatry University of Toronto (416) 535-8501 ext. 30585 www.krembilneuroinformatics.ca<http://www.krembilneuroinformatics.ca> https://cognemo.com CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

Oct. 7, 2019

Symposium Hippocampal Replay, Emotional Valence and Reinforcement Learning

by Benoît Girard

SYMPOSIUM: Hippocampal Replay, Emotional Valence and Reinforcement Learning WHEN:12th November 2019, 9h30-17h00. WHERE: Sorbonne Université, Paris REGISTRATION: is free but mandatory, on the website: https://replaysinparis.sciencesconf.org/ <https://replaysinparis.sciencesconf.org/administrate-user/register> OVERVIEW: This one-day symposium is dedicated to the replay phenomena in the brain (in the hippocampus, but not exclusively) and how they are related to behavior, especially behavior affected by emotional valence. SPEAKERS: * Karim Benchenane (Brain Plasticity Unit, CNRS & ESPCI-ParisTech) * Gabrielle Girardeau (Institut du Fer à Moulin, INSERM & Sorbonne Université, France) * Mehdi Khamassi (ISIR, CNRS & Sorbonne Université, France) * Freyja Olafsdottir (Donders Institute for Brain, Cognition and Behaviour, Radboud University, the Netherlands): Role of hippocampal replay in memory and planning * Giovanni Pezzulo (National Research Council, Rome, Italy) * Federico Stella (Donders Institute, Neuroinformatics Department, Radboud University, the Netherlands) * Stéphanie Trouche (Institute for Functional Genomics, CNRS & INSERM & Univ. Montpellier, France) * Michael Zugaro (CIRB, Collège de France, CNRS & INSERM & Université PSL): Hippocampo-Cortical Dynamics Underlying Memory Formation and Consolidation ORGANIZERS: B. Girard, M. Khamassi, K. Benchenane SPONSOR: CNRS -- Benoît Girard, ISIR, Sorbonne Université/CNRS Pyramide T55/65, CC 173 4 place Jussieu, 75252 Paris Cedex http://people.isir.upmc.fr/girard/ Submit your replications to ReScience: https://rescience.github.io/

Oct. 7, 2019

tenure-track position

by Richard Bertram

Applications are invited for a tenure-track Assistant Professor position in biomathematics at Florida State University, beginning August, 2020. Candidates should have a Ph.D. in mathematics or a related discipline and postdoctoral experience in some area of biomathematics. The ideal candidate will have experience working with experimental data, and will pursue collaborations with experimental scientists. The position is joint with the Institute of Molecular Biophysics (IMB), whose core mission is to facilitate interdisciplinary research related to the biological sciences on campus. The IMB hosts an interdisciplinary graduate program in Molecular Biophysics, and there is a separate interdisciplinary graduate program in Neuroscience on campus. The new hire could participate in either or both programs, in addition to the graduate program in biomathematics. The Mathematics Department is also an active participant in a new initiative on Data Science at the university, and with this hire seeks to strengthen the ties between mathematical data science and biomathematics. Florida State University is one of two flagship research universities in the State University System of Florida, and is ranked number 18 among all public universities in the country by U.S. News and World Report. The university enrolls over 40,000 students in the main campus of Tallahassee. Tallahassee is located in north Florida and has a population of roughly 190,000. It is adjacent to the Apalachicola National Forest and about twenty-five miles from the Gulf of Mexico, with easy access to pristine beaches and other natural habitats. Tallahassee has a warm climate, with an annual average high temperature of 80 degrees Fahrenheit and an annual average low temperature of 56 degrees Fahrenheit. The Mathematics Department offers BS, MS, and PhD degrees in biomathematics, as well as degrees in several other areas of mathematics. The biomathematics curriculum includes courses within mathematics as well as courses offered in other departments. There are currently 19 undergraduate majors and 19 MS or PhD students enrolled in the biomathematics program. See http://www.math.fsu.edu/biomath and http://biophysics.fsu.edu for more information. Applications should include a cover letter, curriculum vitae, research and teaching statements, and four letters of recommendation (at least one of the letters should address the candidate's teaching capability). They should be submitted electronically through MathJobs.org and, in addition, through the FSU Employment and Recruiting Services website http://www.jobs.fsu.edu/ (Job opening ID 46351). Richard Bertram Director, Biomathematics Program Florida State University

Oct. 4, 2019

2 PhD studentships in Systems Neuroscience available at University of Sussex

by Thomas Nowotny

Two PhD student positions in Neuroscience are available at the University of Sussex from 1 February 2020. Project The PhD positions will develop within the project “Peripheral Olfactory Coding: Information Processing outside the Brain” funded by the Leverhulme Trust. This project will investigate early olfactory coding in the model system of the fruit fly Drosophila. Our aim is to test the hypothesis that one key element underlying odour object recognition are non-synaptic interactions between receptor neurons, i.e. information pre-processing outside the brain. Successful candidates will work in one of two areas, depending on interest: Single sensillum recordings (SSRs) on olfactory receptors or behavioural experiments in a wind tunnel. They will be involved in the entire work from experimental design, practical experimentation, selection and execution of data analysis and, depending on interest, computational interpretation in models. You will work closely with Dr Mario Pannunzi, Prof Thomas Nowotny and Prof George Kemenes on this project. Candidate Requirements Candidates should have an MSc or equivalent in natural sciences, ideally in the area of Neuroscience, Physics, Chemistry or Biology. In addition, strong analytical skills and fluency in English are essential for this project. Interest and skills to work in a multi-disciplinary and extensively networked project are important. PhD Salary UK/EU fees and a living allowance in line with UK Research Council rates, currently £15,009 in 2019-20 and rising in line with inflation in future years. Work environment You will join the exciting interdisciplinary environment of Sussex Neuroscience (http://www.sussex.ac.uk/sussexneuroscience/index) and the Centre for Computational Neuroscience and Robotics (http://www.sussex.ac.uk/ccnr/) within which you will work in the groups of Profs Nowotny (http://users.sussex.ac.uk/~tn41/) and Kemenes (http://www.sussex.ac.uk/profiles/1469) Colleagues in the groups work on diverse topics ranging from learning and memory in lymnaea stagnalis (pond snail) to the “Brains on Board project” (http://brainsonboard.co.uk/) seeking to emulate bee brains as robotic controllers for navigation. The University of Sussex provides an extremely rich research environment and training opportunities for doctoral researchers. The University is situated in Downs National Park at the edge of the vibrant coastal city of Brighton, known for its cultural richness, tolerance and diversity. The city offers a multitude of cultural activities, a colourful nightlife and is only an hour on the train away from the metropole of London. How to apply Please apply through https://www.sussex.ac.uk/pgapplication/, selecting “Neuroscience PhD” and Thomas Nowotny as the preferred supervisor. Please include a recent CV detailing your academic record and your research experience and a statement of motivation in your application. (At this stage you do not need to upload copies of your diplomas or letters of reference. These we will requested if we decide to further pursue your application.) Further inquiries Please contact: Dr. Mario Pannunzi, project co-supervisor, m.pannunzi(a)sussex.ac.uk<mailto:m.pannunzi@sussex.ac.uk> or Prof. Thomas Nowotny, project supervisor, t.nowotny(a)sussex.ax.uk<mailto:t.nowotny@sussex.ax.uk> Application deadline Application before 12 December 2019 will receive full consideration but the position will remain open for applications until filled. -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

Oct. 4, 2019

2 RESEARCH POSITIONS IN AI-BASED MEDICAL SOFTWARE DEVELOPMENT @ UNIVERSITY OF LISBON (12 Oct 2019)

by Prata, Diana

2 RESEARCH POSITIONS IN AI-BASED MEDICAL SOFTWARE DEVELOPMENT @ UNIVERSITY OF LISBON (12 Oct 2019) The goal of this highly translational project is the application of artificial intelligence based algorithms to neuroimaging data for the development of diagnostic models that can help clinicians’ decision-making in neurodegenerative disease, and their validation, in partnership with Portuguese and UK hospitals. 1 - Data Science: Work plan: Coordination of statistical analysis of retrospective neuroimaging and clinical data, using artificial intelligence (machine learning) for the development and validation of neuroimaging biomarkers (diagnostic models) of neurodegenerative illnesses, with high potential of clinical applicability; coordination with scientific and medical teams to set up clinical trials (Beta-user experience for the clinical setting validation of biomarkers). General responsibility, within a team of biomedical engineers and clinicians, for data analysis within an academic-entrepreneurial join-venture between the Biomedical Neuroscience Lab (at Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon) and NeuroPsyAi, Ltd (a neurosciences company). Project approx. 3 years. Details in: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=117352 2 - IT: Work plan: Design, set up and curation of: clinical cloud databases, website for user interface with clinicians and researchers, and clinical data in and out transfer with hospitals. General responsibility, within a team of biomedical engineers and clinicians, for maintaining the IT infrastructure of an academic-entrepreneurial join-venture between the Biomedical Neuroscience Lab (at Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon) and NeuroPsyAi, Ltd (a neurosciences company). The project approx. 3 years. Details in: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=117350 Diana Prata, Phd Marie Curie Fellow Principal Investigator, Instituto de Biofísica e Engenharia Biomédica, FCUL Visiting Lecturer, IoPPN, King's College London Associate Investigator, Centre for Psychological Research and Social Intervention, ISCTE-IUL (+351)966595936; Skype: dianaprata; https://dpratalab.wordpress.com/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdpratalab…>, https://neurocolab.wordpress.com/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fneurocola…>, Any unauthorized copying, disclosure or distribution of the material in this e-mail is strictly forbidden.

Oct. 4, 2019

US CCDC ARL Postdoc

by Garcia, Javier O CIV USARMY FUTURES COMMAND (USA)

I noticed that the ad I posted did not link to the full description. I have included both the short and long forms here. Short Version: We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and general physiological aspects of group processes as part of the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity to travel between sites for this multi-university initiative. Applicants are expected to have a strong analytical background and excellent problem solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related filed. Please see the full ad below, and email any questions to javier.o.garcia.civ(a)mail.mil. _________________________________________________________________________ Postdoctoral Opportunity We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and physiological aspects of dynamic processes underlying human-human interactions. This project is shared between the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory (PIs: Javier Omar Garcia, PhD and Kanika Bansal, PhD) and several universities. This opportunity supports one of the primary objectives of the Army Research Laboratory's Human Sciences in advancing our understanding of human behavior and predicting performance. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity for training at the different sites of this collaborative multi-university initiative. Travel sites include but are not limited to Chicago (Northwestern University), Boston (Northeastern University), New York City (Columbia University), and Aberdeen Proving Ground, MD (ARL). Initial appointment will be extendable for up to three years. A successful candidate will receive stipend, travel funds, and benefits. Project description: An overarching goal of the Human Sciences at the US CCDC Army Research Laboratory is to expand our understanding of individual and team behavior, providing the foundational research for individualized teaming technologies within heterogeneous human-agent teams. An important feature of individualized team technologies is the ability to predict future behavior quickly and accurately in dynamic environments for individuals working together for a common goal. Critical to achieving these goals is the capability to predict the impact of within-individual and between-individuals dynamics on the team performance and/or interventions to achieve optimal behavior. We use a variety of physiological (neuronal and non-neuronal) sensors, surveys, and other metrics to infer individual and teaming "states" that may be related to perception, attention, decision-making, or communication at individual, group, and cultural scales. We aim to build advanced data-analysis techniques, technologies, and methodologies to robustly capture individual and team behavior in non-laboratory environments. In this effort, we leverage a wide variety of analytical tools and approaches from fields including but not limited to network science, dynamical systems, machine learning, statistical physics, systems engineering, and neuroeconomics. As part of this project, we are recruiting from a broad range of disciplines. Some recent example publications of previously used techniques are: Bansal, Kanika, et al. "Cognitive chimera states in human brain networks." Science Advances (2019), 5(4), eaau8535. Garcia, Javier O., et al. "Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function." Proceedings of the IEEE (2018), 106 (5), 846-867. Responsibilities: Develop and/or implement human team experiments on research aims. Carry out analysis on complex multi-modal data. Present research results at meetings and engage in publishing results. As part of the role, applicants will have the opportunity to travel for experimentation and development and must have a desire to work with a geographically distributed, energetic, and interdisciplinary team. Qualifications: * A strong analytical background and excellent problem-solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related field. * Proficiency in at least one common programming language (such as Matlab, Python) is a must. * Previous experience with EEG (or complex signals) data acquisition is preferred but not required. * Experience with signal processing and/or data integration is a plus. * Ideal candidates will have an excellent record of scientific publication with a demonstrated ability to work in interdisciplinary collaborative environment, and strong communication and writing skills. Applicants should send their CV to javier.o.garcia.civ(a)mail.mil and/or kanika.bansal(a)columbia.edu

Oct. 4, 2019

Postdoc Opportunity for the US CCDC Army Research Laboratory

by Garcia, Javier O CIV USARMY FUTURES COMMAND (USA)

We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and general physiological aspects of group processes as part of the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity to travel between sites for this multi-university initiative. Applicants are expected to have a strong analytical background and excellent problem solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related filed. Please see attached description for more information and how to apply. Any questions should be directed to javier.o.garcia.civ(a)mail.mil. Thanks! Javier Omar Garcia, PhD Neuroscientist US CCDC Army Research Laboratory, Human Research and Engineering Directorate, Future Soldier Technologies Division, Integrated Capability Enhancement Branch

Oct. 3, 2019

Swartz fellowships in theoretical neuroscience in Seattle: applications open

by Adrienne L Fairhall

The University of Washington's Computational Neuroscience Center is seeking postdoctoral applicants for fellowship positions with the UW Swartz Center for Theoretical Neuroscience. Generously supported by the Swartz Foundation <http://www.theswartzfoundation.org/>, two prestigious Postdoctoral Fellowships are available at the UW CNC. Fellows will join the vibrant, collaborative UW theoretical neuroscience community. This fellowship provides the unique opportunity to work with any of the CNC’s faculty members <https://cneuro-web01.s.uw.edu/people/faculty/>, with the freedom to design and develop projects and new collaborations. Participating faculty members’ research includes theory, computation and data analysis, and members interact extensively with colleagues in quantitative experimentation. Experimental work available for close collaboration at UW includes groups performing large-scale recording (electrophysiology, imaging) and neural manipulation (optogenetics) in diverse behavioral tasks. Collaborations with the Allen Institute for Brain Science are also possible. Successful candidates will have: - A PhD in neuroscience, computer science, mathematics, physics, or a related area - A strong analytical and/or computational background - Track record of productive research, including publications - The initiative to drive projects and collaborations - Strong written and verbal communication skills The Fellowship is available with a starting date in early 2020. Applications are currently being considered beginning October 15, 2019, and will be reviewed on a rolling basis until positions are filled. To apply please send your CV, a 1-2 page summary of research accomplishments, and a 1-2 page statement of research interests, to cncadmin(a)uw.edu; please arrange to have 3 letters of reference sent to the same email address.

Oct. 3, 2019

postdoctoral positions Canavier lab New Orleans- hippocampal modeling

by Canavier, Carmen C.

A second Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans, Louisiana, USA. The position is to study hippocampal synchronization in close collaboration with electrophysiologist John White. The successful candidate will construct biophysically realistic models of a hippocampal interneurons and embed them in network models. If interested, please apply at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… A previously advertised position is also still available. https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu>. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

Oct. 3, 2019

NIH-funded Postdoc / Software Engineer position to work on tool for multiscale modeling of brain circuits

by Salvador Bernal

A Postdoc or Software Engineer position is available at the State University of New York (SUNY) Downstate Medical Center (Brooklyn, New York) to develop and disseminate NetPyNE, a tool for data-driven multiscale modeling of brain circuits. The position is funded by a recently awarded 5-year NIH grant. For more details on the software tool see our recent eLife publication (https://elifesciences.org/articles/44494) and tool website (www.netpyne.org<http://www.netpyne.org>). The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. The position is initially for 1 year with renewal of up to 5 years. Responsibilities: - Improve the software tool to ensure its reliability, robustness and reproducibility. - Collaborate with an external software company to extend the tool's graphical user interface (GUI). - Update the tool's online documentation and develop interactive tutorials. - Organize, prepare and teach conference workshops/tutorials and yearly courses to train users. - Provide ongoing support to neuroscience researchers across the world who use the tool to model different brain regions and phenomena (see www.netpyne.org/models<http://www.netpyne.org/models> and www.netpyne.org/forum<http://www.netpyne.org/forum>) - Encourage, coordinate and manage open source code contributions from interns, graduate students or researchers (usually online via GitHub: https://github.com/Neurosim-lab/netpyne) - Continue ongoing collaborations with other neuroscience initiatives, including Open Source Brain (www.opensourcebrain.org<http://www.opensourcebrain.org>), Neuroscience Gateway (www.nsgportal.org<http://www.nsgportal.org>), Human Neocortical Neurosolver (www.hnn.brown.edu<http://www.hnn.brown.edu>) and Human Brain Project Collaboratory (www.humanbrainproject.eu<http://www.humanbrainproject.eu>). Required: - MSc (or equivalent degree) in Engineering, Computer Science or related discipline. - Expertise programming in Python, including tools for scientific computing (numpy, scipy, pandas, etc), with 5+ years of demonstrable experience. - Experience (3+ years) in collaborative software development as part of a team. - Experience writing unit tests, debugging code, using profiling tools and refactoring existing code bases to improve maintainability. - Proficiency with Git/Github and Linux (shell scripting, ssh, etc) - Experience giving presentations, tutorials and/or product demonstrations. - Spoken and written English language proficiency Desired: - Experience in research/academic environment and/or neuroscience background. - Experience in GUI design/implementation using JavaScript. - Experience with the NEURON simulator using the Python interpreter. - Experience running parallelized large-scale simulations on supercomputers. - Experience in data science, data visualization and machine learning. How to apply: Please send your CV, a brief cover letter, and contact information for 3 references to Salvador Dura-Bernal (salvaordura(a)gmail.com<mailto:salvaordura@gmail.com>) ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

Oct. 1, 2019

Postdoc position on attention and decision-making

by Hrvoje Stojic

We are searching for a postdoctoral researcher for a 2-year project (with possibility of extension) on attention and decision-making. Project lead: Jacob L. Orquin (Aarhus University) Collaboration: Raymond Dolan and Hrvoje Stojic (University College London), Peter Todd (Indiana University) Location: Aarhus University (Denmark) The project aims to investigate the relation between natural visual input, eye movement control and decision-making processes. It will involve state-of-the-art computational modelling of vision, attention and decision making, and behavioural experiments using eye-tracking. The postdoc will have ample room for defining the project based on own interests. We are looking for candidates with experience in vision or decision making research, in ideal case comfortable with computational modelling and conducting eye-tracking experiments, and good coding abilities in either R, Python, or Matlab. The complete job description and submission link is available here: https://international.au.dk/about/profile/vacant-positions/job/postdoctoral… Closing date: 1 November 2019 Informal inquiries about the position can be directed to Jacob L. Orquin at: jalo(a)mgmt.au.dk Apologies for cross-posting. ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: http://hstojic.re/

Oct. 1, 2019

Professorship (W1-Tenure Track): "Computational Cognitive Science" @ Stuttgart University

by Marc Ernst

The Stuttgart Centre for Simulation Science at the University of Stuttgart, Germany, invites applications for a Tenure Track Professorship (W1) "Computational Cognitive Science". The new professor is expected to cover the field of Computational Cognitive Science both in research and teaching, specifically connecting modern data-driven and computational methods for the modeling and simulation of cognitive processes and their applications to human-computer interaction. The position is one of four new professorships that are established at the University of Stuttgart through the DFG Cluster of Excellence EXC 2075 "Data-driven Simulation Science (SimTech)". The professor will be jointly appointed at the Stuttgart Center of Simulation Science and the Department of Computer Science and Electrical Engineering and linked closely to the Human-Computer Interaction and Cognitive Systems group. We are looking for an ambitious scientist with international standing who will advance the field of Computational Cognitive Science and its respective foundations in Cognitive Science and Computer Science in close interdisciplinary collaboration with researchers from science and engineering as well as from the humanities and the social sciences. Applicants should have made distinguished contributions in at least one of these research areas: • Cognitive modeling and simulation, especially of visual perception • Data-driven and mathematical / statistical modeling of human behavior • Behavioral experiments and evaluation methods • Decision making, human learning and reasoning • Applications of cognitive models and simulations, e.g. in human-robot interaction, computer vision or immersive environments We encourage excellent young scientists in related areas of (cognitive) neuroscience or psychology, machine learning or artificial intelligence or human-computer interaction to apply. We expect contributions to teaching in the Bachelor and Master programs of the Stuttgart Center of Simulation Science and of the Department of Computer Science as well as acquisition of third-party funding and active involvement in further collaborative research projects of the University. The professorship is funded in the context of the joint program for the promotion of early career researchers by the German federal and state governments. The position is a tenure track position leading to an appointment as a W3 professor in case of positive evaluation. The requirements for employment as listed in §51 Baden-Württemberg University Law apply. For more information on the criteria of evaluation and quality management, please visit the website: https://uni-stuttgart.de/tenure-track <https://uni-stuttgart.de/tenure-track> Please submit your application before 20th October, 2019 by e-mail to bewerbung(a)simtech.uni-stuttgart.de <mailto:bewerbung@simtech.uni-stuttgart.de> with one PDF attachment comprising a curriculum vitae, academic degrees and certificates, full list of publications, research and teaching statements, three selected publications as well as the application form. Applications should be addressed to Prof. Dr. Thomas Ertl, Stuttgart Center of Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart. Further information and the application form can be found here: https://www.simtech.uni-stuttgart.de/karriere/jobs/ <https://www.simtech.uni-stuttgart.de/karriere/jobs/>. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted e-mail. Please see https://www.simtech.uni-stuttgart.de/karriere/jobs/091145502K2.pdf <https://www.simtech.uni-stuttgart.de/karriere/jobs/091145502K2.pdf> for the official job advert. The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ <https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/> The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications. The information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://uni-stuttgart.de/datenschutz/bewerbung <https://uni-stuttgart.de/datenschutz/bewerbung>

Oct. 1, 2019

Post Doc position in ERC-funded project at UCL: VR, modelling, ML, MEG - please circulate

by Bach, Dominik

Post doc position in ERC-funded project "Action Selection under Threat", involving VR, behavioural experiments and modelling, wearable magnetoencephalography Location: University College London (UK), Institute of Neurology, Max-Planck/UCL Centre for Computational Psychiatry and Ageing Research and Wellcome Centre for Human Neuroimaging Project lead: Dominik R Bach is a principal research fellow at UCL The project will look at the cognitive-computational control of motor behaviour under acute, immediate threat. We will set up an immersive virtual reality (VR) environment, in which people can move to avoid various threats. We will record people's behaviour using optical and video tracking, and use machine-learning to structure motor trajectories. Scenarios will then be tweaked to expose limitations of the psychological or computational mechanisms that govern behaviour. Finally, we will use wearable magnetoencephalography (OPMs) at the WCHN to investigate the neural basis of these algorithms. We are currently looking for candidates with a PhD in cognitive-computational (neuro)science, applied machine-learning, biomechanics, motor science, or a quantitative field of psychology (e.g. vision, perception, behavioural economics), or similar. More information and how to apply: https://bit.ly/2m7ok7R Closing date: 17 October 2019 d.bach(a)ucl.ac.uk<mailto:d.bach@ucl.ac.uk> Apologies for cross-posting.

Sept. 30, 2019

Tenure-track faculty positions in computational neuroscience at BU

by Mark Kramer

The Department of Mathematics and Statistics at Boston University is hiring two positions in computational neuroscience. Details below: i) Tenure-Track Assistant Professor in Statistical Neuroscience The Department of Mathematics and Statistics at Boston University invites applications for a tenure-track Assistant Professor position, pending final approval, in the field of Statistical Neuroscience. Ph.D. required. Commitment to research and to teaching at the undergraduate and graduate levels essential. Submit cover letter, CV, research statement, teaching statement, and four recommendation letters (one of which addresses teaching) on-line to mathjobs.org. Application deadline: November 1, 2019. Pending final administrative and budgetary approval, the appointment start date is July 1, 2020. ii) Tenure-Track Assistant Professor in Mathematical Neuroscience The Department of Mathematics and Statistics at Boston University has a long tradition of outstanding research and teaching in the broad field of computational neuroscience, including in mathematical neuroscience. The Department invites applications for a tenure-track Assistant Professor position in the field of Mathematical Neuroscience. Ph.D. required. Commitment to research and to teaching at the undergraduate and graduate levels essential. Submit cover letter, CV, research statement, teaching statement, and four recommendation letters (one of which addresses teaching) on-line to mathjobs.org. Application deadline: November 1, 2019. Pending final administrative and budgetary approval, the appointment start date is July 1, 2020. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

Sept. 30, 2019

Postdoc Position in Biomedical Deep Learning, Drexel University

by Liang,Hualou

I have an immediate opening for a post-doctoral fellow to engage in a federally-funded multi-year project in biomedical deep learning. My research group at Drexel University focuses on developing state-of-the art deep learning-based algorithms and applying them to a wide range of problems. Ongoing projects are: * Design of novel and application of existing cutting-edge natural language processing (NLP) models (e.g. Transformer, BERT, GPT-2, XLNet) for biomedical information retrieval and text summarization. This is an unprecedented opportunity to harness unstructured information from millions of documents, use this information to guide generic drug product development. * Development of novel and application of existing deep generative models (e.g. GANs, VAEs) to explain the high-dimensional structure and time course of neural population activity. The focus is on the extraction of low-dimensional temporal patterns in high-dimensional spiking and local field potentials datasets in visual attention and working memory tasks, and the development of new tools for causal inference (e.g. copula Granger-causality). The ideal candidate should have, or be about to receive, a Ph.D. in a relevant discipline with substantial computational experience (especially in deep learning/NLP). Programming skills in Python and/or Julia are essential. Knowledge of state-of-the-art NLP/text mining methods and/or deep learning frameworks (e.g. TensorFlow, PyTorch) is advantageous but not required. Interested individuals should email a curriculum vitae and a brief statement of research interests to Dr. Hualou Liang at hualou.liang(a)drexel.edu<mailto:hualou.liang@drexel.edu>. Hualou Liang, PhD Professor School of Biomedical Engineering Drexel University 3141 Chestnut Street Philadelphia, PA 19104 Tel: (215) 571-3706 Fax: (215) 895-4983 hualou.liang(a)drexel.edu<mailto:hualou.liang@drexel.edu> http://www.biomed.drexel.edu/labs/liang/<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.biomed.…> Mailing address: Monell Building 3508 Market Street Suite 100 Philadelphia, PA 19104

Sept. 27, 2019

Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab

by Aaron Seitz

Professor Aaron Seitz in the Department of Psychology at UC Riverside has several openings for graduate students. Students can work in one or both of the Perception and Learning lab and the Brain Game Center. The Perception and Learning lab conducts basic research on perception, learning and memory using a variety of approaches including advanced Psychophysics, EEG, fMRI, and computational methodologies. The UCR Brain Game Center for Mental Fitness and Well-being is a unique research unit that focuses on translational psychology and neuroscience work where we exploit the potential of consumer technologies to conduct research at large scale. This involves running hundreds to many thousands of participants on research studies designed to develop better measurements of perceptual and cognitive abilities as well as new training tools for these skills. To date we have developed numerous approaches addressing vision, hearing, working memory, executive function, and fluid intellige! nce. In both labs we use computational modeling and machine learning as well as standard data analysis approaches. For more information on research in the Seitz labs please see http://faculty.ucr.edu/~aseitz/ and http://braingamecenter.ucr.edu. Prospective graduate students should send an email to aseitz(a)ucr.edu with their CV, and description of research interests. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Please see the following websites for more information about the Psychology (https://psych.ucr.edu) or Neuroscience (http://neuro.ucr.edu) graduate programs. Please forward to anyone that you know that might be interested. Thanks, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

Sept. 26, 2019

Post-Doctoral Position to Research Factors That Influence Cognitive Training Outcomes at the University of Wisconsin-Madison, UC Riverside and UC Irvine

by Aaron Seitz

Dear all, Please share the following with anyone that you know that might be interested. C. Shawn Green (UW-Madison), Aaron Seitz (UC-Riverside) and Susanne Jaeggi (UC-Irvine) are seeking to hire a post-doctoral researcher to work on a project funded by the National Institute of Aging. The project is focused on investigating features of cognitive training that differentially lead to learning and transfer of learning in both young adults (college-aged individuals) as well as in older adults. The post-doctoral researcher is expected to take a lead role in the project, including setting up experiments, collecting and analyzing data, training and supervision of graduate students and undergraduate research assistants, and dissemination of results at conferences and in research publications. Successful candidates should have strong technical skills, including in data analysis (R preferred), management skills, creativity and a high-level of conscientiousness, as these are required to play a lead role in this sizeable project. They should also have expertise in one or more of the following areas (and knowledge of the others): working memory, cognitive training, perceptual learning, and methods of assessing individual differences and effects of interventional studies. Experience in programming psychophysical experiments, in either MATLAB or Python, is preferred. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The primary appointment will be at the University of Wisconsin-Madison in the Learning and Transfer Lab of C. Shawn Green (https://greenlab.psych.wisc.edu/) The lab’s broad focus is to examine factors that alter the rate and generality of learning in both the perceptual and cognitive domains. The University of Wisconsin offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Furthermore, although the postdoc’s primary location will be at UW-Madison, the postdoc will also spend time on the UCR and UCI campuses and work closely with both Seitz and Jaeggi to insure that procedures are coordinated between all three sites and that all personnel are properly trained and supervised. Thanks, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

Sept. 26, 2019

1st Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019

by Michael Denker

***1st Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Paris, France Nov 4-6, 2019 Summary: In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series. In addition, participants receive help in integrating their own data into such analysis workflows. The topics covered will be: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring of analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing using the HBP Collaboratory [4] For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum Jülich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ [4] HBP Collaboratory, https://collab.humanbrainproject.eu ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Sept. 26, 2019

Two postdoc positions in Diba Lab at U-Michigan

by Kamran Diba

Dear Colleagues, My lab is currently recruiting postdoctoral scholars for two very exciting projects: one to use machine learning to investigate replay during sleep <https://sites.lsa.umich.edu/diba-lab/2019/09/24/postdoctoral-position-machi…> (in collaboration with C. Kemere's lab at Rice U), and another to use µLED optoelectrodes (developed by E. Yoon's lab at U-M) to investigate hippocampal oscillations in episodic memory. Links to the ads are provided here: Machine Learning of Neuronal Spike Sequences: https://sites.lsa.umich.edu/diba-lab/2019/09/24/postdoctoral-position-machi… Optogenetic Examination of Hippocampal Microcircuits: https://sites.lsa.umich.edu/diba-lab/2019/09/24/new-postdoctoral-position-o… Please encourage qualified candidates to apply. Thanks, Kamran Kamran Diba, PhD Associate Professor, Dept of Anesthesiology Affiliate, Dept of Biomedical Engineering Faculty, Applied Physics Program Faculty, Neuroscience Graduate Program University of Michigan Medical School 1150 W. Medical Center Dr. 7433 Med Sci I, SPC 5615 Ann Arbor, MI 48109-5615 ----------------------------------------------------- http://sites.lsa.umich.edu/diba-lab/ ----------------------------------------------------- office: 1-734-764-5502 lab: 1-734-647-9914

Sept. 25, 2019

Faculty Positions in Neuroscience

by Yaroslav Molkov

The Neuroscience Institute at Georgia State University (GSU) invites applications for up to two tenure track positions at the rank of Assistant Professor. Preference will be given to individuals using state-of-the-art cross disciplinary approaches incorporating molecular, genetic/genomic, computational, or quantitative methods. Candidates must hold a Ph.D. or M.D./Ph.D. with evidence of excellence in research and the ability to establish a vigorous, externally funded research program while contributing to the Neuroscience Institute’s graduate and undergraduate teaching. The ideal research program would synergize with existing strengths in the Neuroscience Institute (see http://neuroscience.gsu.edu) and GSU’s interdisciplinary University Research Centers ( https://research.gsu.edu/about/) Georgia State is an enterprising R-1 university located in the heart of downtown Atlanta, a vibrant international city in the Southeastern U.S. GSU enrolls and graduates one of the most diverse student bodies in the nation. The Institute is committed to serving this student body and advancing innovative research by building a diverse faculty. Applicants should provide a full curriculum vita, names and contact information for three references, and a statement of research plans and teaching philosophy (5 page limit) that includes their views and experience related to the Institute’s goal of serving a diverse student body in its educational activities. Applications can be submitted either electronically in PDF format to nisearchcommittee(a)gsu.edu or in hard copy to: Chair of the Neuroscience Institute Faculty Search Committee, Neuroscience Institute, PO Box 5030, Georgia State University, Atlanta, GA 30302-50310. Review of applications will begin November 1, 2019, and continue until the position is filled. Georgia State University is an Equal Opportunity/Affirmative Action Employer and does not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class.

Sept. 25, 2019

Open research position in Excellence Cluster “Science of Intelligence” in Berlin (PhD/Postdoc)

by Sprekeler, Henning

A research position (PhD/Postdoc) is now available at TU Berlin within the Excellence Cluster “Science of Intelligence” (www.scienceofintelligence.de) The goal is to use artificial neural networks to study the relation between network architecture and task properties. The project is supervised by Joerg Raisch (control theory) and Henning Sprekeler (computational neuroscience), and includes a tight collaboration with the lab of John-Dylan Haynes (neuroimaging). The position is fully funded for 3 years. Salary is commensurate with experience, but should allow a comfortable life in Berlin. Envisaged starting date is December 1. The application deadline is October 10. For more information about the Sprekeler and Raisch labs, check out our website: http://www.sprekelerlab.org<http://www.sprekelerlab.org/> http://www.control.tu-berlin.de/ More information on the project and how to apply online can be found here: https://www.scienceofintelligence.de/call-for-applications/open-positions/1… We’re looking forward to your application. Best wishes, Henning --- Henning Sprekeler Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Email: h.sprekeler(a)tu-berlin.d<mailto:h.sprekeler@tu-berlin.de>

Sept. 25, 2019

Bioinformatician and postdoc job opportunities - De Strooper Lab

by Lyn

Dementia is the greatest health challenge of our century. The UK Dementia Research Institute (UK DRI) is the biggest UK initiative supporting research to fill this gap. Research from UK DRI at UCL covers the journey from the patient to the laboratory and back to the patient with improved diagnosis, biomarkers and candidate therapies put to the test. We are currently recruiting for postdocs in the De Strooper Lab, with opportunities in bioinformatics and neurodegeneration. Posts are full-time and will be based at the Crick. Salary from £35,965 per annum for postdoctoral appointments and £44,674 per annum for senior postdoctoral appointments, inclusive of London Allowance. This is an excellent chance to work on high impact, state-of-the-art projects in a stimulating and social international research environment, undertaking world-class science under the guidance of a leader in Alzheimer’s biology. Detailed information can be found online: Bioinformatician https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgyNDczNCZ2dF90… Research Fellow https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgyNDgzNCZ2dF90… Any questions can be directed to Laura Allum, Head of HR - l.allum(a)ucl.ac.uk Laura Allum Head of HR, UK DRI HQ UK Dementia Research Institute Email | l.allum(a)ucl.ac.uk Web | www.ukdri.ac.uk Twitter | @UKDRI

Sept. 24, 2019

PhD positions in Computational Cognitive Neuroscience (Max Planck Institute CBS, Leipzig, Germany)

by Martin Hebart

The independent research group Vision and Computational Cognition (led by Dr. Martin Hebart) at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, invites applications for PhD students. *Our research group* seeks to understand how humans recognize and categorize visually-perceived objects. Towards this goal, we use a wide range of behavioral and neuroimaging methods, including visual psychophysics, online crowdsourcing, functional MRI and magnetoencephalography (MEG). The emphasis lies on identifying and characterizing reproducible and interpretable behavioral and brain activity patterns that serve as a basis for our understanding of mental and neural representations of objects. *The Max Planck Institute* is equipped with excellent neuroimaging research facilities (several Siemens 3T and 7T MRI scanners, 306-channel MEG, EEG, virtual reality, eye-tracking) and offers dedicated support staff. Leipzig has been called “Germany’s new cultural hot spot“ (The Guardian) and is located just a little over an hour south of Berlin. *The successful applicant* will have a passion for visual and cognitive neuroscience, with good analytical and quantitative skills, and the ability to work both independently and as part of a team. Candidates are expected to have experience in the analysis of behavioral or neuroimaging data (e.g. fMRI, MEG, or EEG) and have good programming skills in Python, Matlab,or R. Experience with machine-learning methods (e.g. Scikit-Learn, PyTorch, TensorFlow), data/code sharing platforms (e.g. GitHub, Docker), or basic web programming (HTML, JavaScript) are desirable. Scientific publications are not required; however, applicants are expected to demonstrate scientific writing skills. The expected starting date is flexible but no earlier than February 1st, 2020. The position is funded for three years, with the possibility of an extension for an additional year. For the full job advertisement including more information about the group, qualifications, required documents and application procedures, please go to http://www.cbs.mpg.de/vacancies (subject heading: *“PhD 14/19”*). All applications received by *November 15th, 2019* will be considered. In case of questions, please contact Martin Hebart at hebart(a)cbs.mpg.de <hebart(a)cbs.mpg.de>.

Sept. 24, 2019

Postdoc position in Computational Cognitive Neuroscience (Max Planck Institute CBS, Leipzig, Germany)

by Martin Hebart

The independent research group Vision and Computational Cognition (led by Dr. Martin Hebart) at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, invites applications for a postdoctoral researcher. *Our research group *seeks to understand how humans recognize and categorize visually-perceived objects. Towards this goal, we use a wide range of behavioral and neuroimaging methods, including visual psychophysics, online crowdsourcing, functional MRI and magnetoencephalography (MEG). The emphasis lies on identifying and characterizing reproducible and interpretable behavioral and brain activity patterns that serve as a basis for our understanding of mental and neural representations of objects. *The Max Planck Institute* is equipped with excellent neuroimaging research facilities (several Siemens 3T and 7T MRI scanners, 306-channel MEG, EEG, virtual reality, eye-tracking) and offers dedicated support staff. Leipzig has been called “Germany’s new cultural hot spot“ (The Guardian) and is located just a little over an hour south of Berlin. *The successful applicant* will have a strong interest in the analysis of large-scale neuroimaging datasets using encoding models and machine-learning methods. Candidates are expected to have considerable experience in the analysis of neuroimaging data, strong programming skills in Python or Matlab, and a solid understanding of inferential statistics. Experience with machine learning-methods and related tools (e.g. Scikit-Learn, PyTorch/TensorFlow) and data/code sharing platforms (e.g. GitHub, Docker) are desirable. Candidates are expected to have a PhD in psychology, cognitive science, neuroscience, computer science, or a related field. The expected starting date is flexible but no earlier than February 1st, 2020. The position is funded for three years, with the possibility of an extension for an additional year. For the full job advertisement including more information about the group, qualifications, required documents and application procedures, please go to http://www.cbs.mpg.de/vacancies (subject heading: *“PD 15/19”*). All applications received by *November 15th, 2019* will be considered. In case of questions, please contact Martin Hebart at hebart(a)cbs.mpg.de.

Sept. 24, 2019

Workshop on big models and big data at SFN 2019

by Carnevale, Nicholas

Space is still available in the *NSG and HPAC – Large Scale Simulations and Data Processing* workshop, which will be held in Chicago on Saturday, Oct. 19, 2019, as a satellite to the SFN 2019 meeting. Come to this workshop to learn about high performance and high throughput computing resources that can help you deal with big data sets or computationally intensive modeling projects. Discover what's in the pipeline, meet the developers, and find out how you can participate and/or take advantage of resources that are already freely available. But act quickly, because the *registration deadline is Thursday, October 10*. See http://www.nsgportal.org/NSG_HPAC_SfN2019_Wkshop.web.htm for the workshop's program, and https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for the online registration form. --Ted

Sept. 23, 2019

PostDoc in decision making & learning (Berlin/Potsdam)

by SoyoungQ Park

Dear all, we are seeking for a DFG-funded postdoctoral researcher to work on learning and decision making ( http://www.dife.de/jobs-karriere/stellenangebote/detail.php?id=524&lang=en) I would appreciate it very much if you forward this to interested candidates. Have a great week! Best regards Soyoung

Sept. 23, 2019

NIH-funded Postdoc / Software Engineer position to work on tool for multiscale modeling of brain circuits

by Salvador Dura

A Postdoc or Software Engineer position is available at the State University of New York (SUNY) Downstate Medical Center (Brooklyn, New York) to develop and disseminate NetPyNE, a tool for data-driven multiscale modeling of brain circuits. The position is funded by a recently awarded 5-year NIH grant. For more details on the software tool see our recent eLife publication (https://elifesciences.org/articles/44494 <https://elifesciences.org/articles/44494>) and tool website (www.netpyne.org <http://www.netpyne.org/>). The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. The position is initially for 1 year with renewal of up to 5 years. Responsibilities: - Improve the software tool to ensure its reliability, robustness and reproducibility. - Collaborate with an external software company to extend the tool's graphical user interface (GUI). - Update the tool's online documentation and develop interactive tutorials. - Organize, prepare and teach conference workshops/tutorials and yearly courses to train users. - Provide ongoing support to neuroscience researchers across the world who use the tool to model different brain regions and phenomena (see www.netpyne.org/models <http://www.netpyne.org/models> and www.netpyne.org/forum <http://www.netpyne.org/forum>) - Encourage, coordinate and manage open source code contributions from interns, graduate students or researchers (usually online via GitHub: https://github.com/Neurosim-lab/netpyne <https://github.com/Neurosim-lab/netpyne>). - Continue ongoing collaborations with other neuroscience initiatives, including Open Source Brain (www.opensourcebrain.org <http://www.opensourcebrain.org/>), Neuroscience Gateway (www.nsgportal.org <http://www.nsgportal.org/>), Human Neocortical Neurosolver (www.hnn.brown.edu <http://www.hnn.brown.edu/>) and Human Brain Project Collaboratory (www.humanbrainproject.eu <http://www.humanbrainproject.eu/>). Required: - MSc (or equivalent degree) in Engineering, Computer Science or related discipline. - Expertise programming in Python, including tools for scientific computing (numpy, scipy, pandas, etc), with 5+ years of demonstrable experience. - Experience (3+ years) in collaborative software development as part of a team. - Experience writing unit tests, debugging code, using profiling tools and refactoring existing code bases to improve maintainability. - Proficiency with Git/Github and Linux (shell scripting, ssh, etc) - Experience giving presentations, tutorials and/or product demonstrations. - Spoken and written English language proficiency Desired: - Experience in research/academic environment and/or neuroscience background. - Experience in GUI design/implementation using JavaScript. - Experience with the NEURON simulator using the Python interpreter. - Experience running parallelized large-scale simulations on supercomputers. - Experience in data science, data visualization and machine learning. How to apply: Please send your CV, a brief cover letter, and contact information for 3 references to Salvador Dura-Bernal (salvaordura(a)gmail.com <mailto:salvaordura@gmail.com>)

Sept. 21, 2019

Postdoc in neural data analysis at UCSD

by Gal Mishne

A postdoctoral position is available in the research group of Gal Mishne in the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego. This NIH-funded position includes research on multimodal data analysis, manifold representations of neural activity and multiscale modeling of motor learning. The position offers excellent interdisciplinary training possibilities at the intersection of machine learning, applied mathematics and computational neuroscience, and includes collaboration with experimental neuroscientists. The position is open immediately as of September 2019. Qualifications: Applicants should have (or expected to get in a near future) Ph.D. in electrical/biomedical engineering, computer science, applied mathematics, neuroscience, or other related fields. Applicants should have strong quantitative and programming skills, a track record of published papers and a strong interest in biomedical applications. Preferred Qualifications: Prior experience in the areas of machine learning / data-driven methods, signal processing and/or computational neuroscience, will be viewed favorably but are not strictly required. The position is for one year with renewal for a second and third year pending satisfactory progress. To apply for the position, please e-mail your CV, brief research statement and the contact information for three references to Gal Mishne at gmishne(a)ucsd.edu or at https://academicjobsonline.org/ajo/jobs/14703. Women and minorities are strongly encouraged to apply. The Halıcıoğlu Data Science Institute is an academic unit at UC San Diego with a focused mission - to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems.

Sept. 20, 2019

NeuroEng 2019, Abstract Submission Extended until October 4, however Early bird registration ends tonight.

by Steven Wiederman

NeuroEng 2019 is the 12th Australasian Workshop on Computational Neuroscience and Neural Engineering to be held in Adelaide, Australia, November 29-30. Due to several requests, Abstract submission for NeuroEng 2019 is extended until October 4th. However, Early Bird Registration ends midnight tonight (Note GMT+10). You can register at this link <%20http:/www.conferenceonline.com/conference_invitation/22847/?key=4FB9B222-4F05-4D7E-91F6-0D70018F77AB> or via neuroeng.org.au Keynote speakers include Professor Barbara Webb (University of Edinburgh) and Professor Yves De Koninck (Univeriste Laval). We also have talks by Prof Andre van Schaik (WSU), Prof David Grayden (Uni Melbourne), Prof Geoff Goodhill (QBI), A/Prof Pulin Gong (Uni Sydney), Prof Mark Jenkinson (Oxford) and many others. Topics include: Neurophotonics, Theoretical, Mathematical and Computational Neuroscience, Neuroprosthetics and Brain Machine Interfaces, Neural Modelling and Engineering, Neuromorphic Engineering, EEG Analysis, Neural Information Processing, Neuroinformatics, Cognitive Modelling, Neuroimaging and Connectomics, Brain Dynamics and Neurophysics. If you have any questions, please do not hesitate to contact me. regards, Steve Dr Steven Wiederman +61 403 079 575, steven.wiederman(a)adelaide.edu.au<mailto:steven.wiederman@adelaide.edu.au>

Sept. 20, 2019

POSTDOC Neural Dynamics of Temporal and Spatial Memory

by Andre Longtin

A theoretical/computational neuroscience postdoctoral position is available immediately in the Neurophysics and Nonlinear Dynamics group of André Longtin in the physics department and Centre for Neural Dynamics of the University of Ottawa. I am looking for someone trained in nonlinear dynamics and neural modeling, with a background in either physics or mathematics, and perhaps engineering. The work will focus on the dynamics of a population of core recurrent neurons within the hippocampus and their role in temporal and spatial memory. It will involve bridging single cell and network circuitry. The candidate will be involved in theoretical-experimental collaborations with the Profs. Len Maler and Jean-Claude Béïque, and may interact with other theorists and experimentalists in the Centre. Experience with experimental collaborations will be considered an asset. The researcher will join uOttawa’s Brain and Mind Research Institute’s Center for Neural Dynamics. uOttawa’s Neuroscience community is highly dynamic and offers a rich array of collaborative opportunities. Ottawa, the capital of Canada, is a green, multi-cultural city that offers the highest standard of living in the country and is second worldwide for quality of life (Numbeo index, 2015). The city has many parks including the UNESCO World Heritage Rideau Canal, and is surrounded by an extensive greenbelt and the vast Gatineau Park twenty minutes away. This bilingual, safe and culturally-rich city lies along the border between the provinces of Ontario and Québec, is a few hours of driving away from Montréal and Toronto and served by an international airport. The position is for one year with automatic renewal for a second year following satisfactory progress, and a possible extension to a third year. Interested candidates should submit their CV and a paragraph about research interests to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> . The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. André Longtin

Sept. 19, 2019

postdoctoral position Canavier lab New Orleans- hippocampal modeling

by Canavier, Carmen C.

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans, Louisiana, USA. The position is to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. If interested, please apply at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu>. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

Sept. 18, 2019

Postdoc at the University of Leicester to work on human single cell recordings

by Quian Quiroga, Rodrigo (Prof.)

The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn(a)le.ac.uk or 0116 252 3249. To apply, please use this link: https://jobs.le.ac.uk/vacancies/1393/research-associate.html The applications should include a curriculum vitae and a brief description of their scientific interests The closing date for the applications is 21st October 2019. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

Sept. 18, 2019