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Call for applications: NeuroNex Jr Scientist Workshop on Advance Neural Data Analysis

by Allison Ong

Call for applications: NeuroNex Jr Scientist Workshop on Advance Neural Data Analysis at Columbia University Apply here: https://tinyurl.com/yyxnacmd Application Deadline: May 25, 2019 Workshop dates: August 26 - 29, 2019 Details: https://ctn.zuckermaninstitute.columbia.edu/junior Hosted by the Center for Theoretical Neuroscience at Columbia University Co-Organized by the NeuroNex Theory Team at University of Houston This workshop is intended for PhD students and postdocs who want to learn and share with their peers new advanced techniques in data analysis and apply them to complex neural datasets. Attendees will present their research projects, followed by a hands-on programming tutorial on the computational techniques used in their work. We encourage applications from female scientists and those belonging to underrepresented minorities. Funds will be provided by NSF's NeuroNex initiative to cover travel, accommodation, and meals. Questions? Email neuraldataworkshop(a)gmail.com

May 8, 2019

Fully-funded 3 year PhD studentship in Mark Humphries' lab (Nottingham)

by Mark Humphries

A fully funded PhD position is available with Prof. Mark Humphries at the University of Nottingham (UK), on a project entitled "Mapping the wires using neural activity". The studentship is for 3 years, and is open to UK/EU citizens. The wiring between neurons, the connectome, defines their activity. So in order to understand the activity of neurons we record from, we want to know the wiring between them. But current technology does not allow the simultaneous recording and tracing of the connections between neurons. To solve this problem, this project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations. For full details and application instructions please see: https://www.findaphd.com/phds/project/fully-funded-phd-position-mapping-the… For more on the Humphries Lab, see our website: https://www.humphries-lab.org/ For further information about the project, or to discuss other projects, please contact Prof Mark Humphries (mark.humphries(a)nottingham.ac.uk) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

May 8, 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. The position is immediately available. 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.

May 8, 2019

Registration and Call for Abstracts for the 2nd Conference of the Timing Research Forum

by teki

Dear all, Registration and call for abstracts and symposium proposals for the 2nd Conference of the Timing Research Forum <http://timingforum.org/> (TRF2) is now open. TRF2 is the second international conference dedicated to multidisciplinary research on timing and time perception and will be held at UNAM in Queretaro, Mexico from October 15-17, 2019. TRF2 builds upon the massive success of TRF1 held in Strasbourg, France in Oct. 2017 that was attended by 250+ scientists with a shared passion for understanding timing and time perception through varied experimental, computational and clinical approaches. The deadline to submit abstracts and symposium proposals is May 25, 2019. During the submission process, please indicate if you wish to present an oral or poster presentation, and express your interest for student travel awards. All selected abstracts will be published in the journal, Timing and Time Perception Reviews <http://www.brill.com/node/37536>. We are pleased to announce three impressive Keynote Speakers - - Kia Nobre, Oxford University - Mehrdad Jazayeri, MIT - Albert Tsao, Stanford University Albert Tsao will give the TRF2 ECR Keynote Prize Lecture based on his paper - ’Tsao, Sugar, Lu, Wang, Knierim, Moser, Moser (2018; Nature) Integrating time from experience in the lateral entorhinal cortex’, that was selected by the members of TRF as the 'Best Timing Paper of 2018'. We look forward to proposals of sponsorship. Our sponsorship booklet is available here <https://drive.google.com/open?id=1UzZk6pYk5RgaNOXgpbnPXP4hHcHf1bz6>. Anyone interested in joining the Timing Research Forum can do so by following the instructions at this link <http://timingforum.org/membership>. For further details about abstract submission guidelines, conference program, registration, accommodation etc., please visit the TRF2 conference website - http://trf2.inb.unam.mx/. We encourage everyone to register early to avail discounted prices and look forward to seeing you in Queretaro! TRF2 Conference Chairs: Hugo Merchant, UNAM Victor de Lafuente, UNAM trf2mexico(a)gmail.com TRF2 Scientific Committee: Dean Buonomano, UCLA John Iversen, UCSD Rich Ivry, UC Berkeley Laurel Trainor, McMaster University Virginie van Wassenhove, INSERM Martin Wiener, George Mason University https://trf2.inb.unam.mx/?page_id=228 Timing Research Forum: Sundeep Teki, Amazon Alexa AI Argiro Vatakis, Panteion University TRF ECR Committee timingforum.org

May 7, 2019

2019 NEURON Summer Course

by Carnevale, Nicholas

A few seats remain open for the 2019 NEURON Summer Course, but you'll have to act quickly because the registration deadline is Friday, May 31, and no applications will be accepted after that date. This year's course will be held at the Minneapolis campus of the University of Minnesota (UMN) from Monday, June 10, through Saturday, June 15. It provides a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. UMN has made a limited number of private and semiprivate rooms in graduate student housing available to course registrants at very affordable rates; further information will be provided to applicants upon payment of the course's registration fee. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/summer2019/summer2019.html --Ted

May 7, 2019

Data Scientist Position at Boston University

by Chen, Jerry

The Lab of Jerry Chen at Boston University is hiring a Data Scientist to be involved in several multi-year BRAIN Initiative related NIH and NSF funded projects. These projects focus on understanding cortical computation during behavior by combining large-scale population recordings, anatomical reconstructions, and transcriptional profiling as well as developing tools for large-scale and high-speed imaging of neuronal populations. This person will be involved in help to analyze experimental data, developing software tools to aid in the data analysis, and helping with data infrastructure and management. Specific Projects include: 1. Analysis of dense electron microscope reconstructions of neuronal connectivity (ie. Connectomics) 2. Establishing pipeline for image analysis for in situ sequencing of gene expression 3. Establishing pipeline for automated behavioral training and analysis. 4. Visualization and analysis of population imaging data across multiple brain areas during behavior. This person will be jointly involved and mentored by personnel from the Hariri Institute's Software & Application Innovation Lab (SAIL), a center with expertise in cutting-edge computational and data-driven research with tangible and direct impacts on academic research, public service, and industry partners in healthcare, finance, and technology. Qualifications: BA/BS degree (MA or PhD preferred) in Computer Science, Mathematics, Engineering, Neuroscience or related technical field. One to three years of academic or professional experience. Programming experience in MATLAB is required. Additional experience in Python, C++, or LABView is preferred. Extensive background in either computational neuroscience, image analysis, computer vision, or machine learning is preferred. If interested in applying, please submit a CV along with 3 references to jerry(a)chen-lab.org<mailto:jerry@chen-lab.org>.

May 6, 2019

Slots still available - Deadline in 10 days!: 7th Baltic-Nordic School on Neuroinformatics BNNI 2019, August, Frankfurt Germany

by Martin Mittag

*7th Baltic-Nordic School on Neuroinformatics BNNI 2019* *Modeling Healthy and Diseased Brain: From Dendrites to Neurons and Networks*** *Frankfurt am Main, Germany* *26-28 August 2019* ** *We invite* Advanced master students, doctoral students, and postdoctoral researchers are welcome to participate in the BNNI 2019 to be held at the FIAS, the Frankfurt Institute for Advanced Studies, Frankfurt Main, Germany in August 2019. *The Course* The course is interdisciplinary and covers modeling at different levels of organization of the brain, from single neurons to microcircuits and networks. We will focus on differences between healthy and diseased brains. Participants will learn about compartmental and morphological modeling of synapses, dendrites and neurons, as well as simulating local field potentials (LFPs). The course combines lectures, tutorials and computer exercises. This summer school is the seventh in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland; BNNI 2017 in Kaunas, Lithuania; BNNI 2018 in Ventspils, Latvia). *Target audience* The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. We will use the NEURON simulation environment for biophysical realistic models of neurons and the Matlab software package including the TREES toolbox. Desktop computers will be provided for the exercise part. *Important Dates* * 15 May 2019*: Application deadline * 1 June 2019:* Acceptance notification *26 - 28 August 2019:* School *Venue* The lectures will be held on 26th to 28th of August, 2019, at the: Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Germany. Frankfurt is a very international city in the heart of Germany and Europe. The city centre combines the historic, medieval past with the modern, economic present. We are looking forward to welcoming you in Frankfurt! *More information and applications at* _web.lsmuni.lt/bnni2019/en <http://web.lsmuni.lt/bnni2019/en>_ *Practical arrangements* The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses. There is a small fee to be paid (30 - 100 EUR). If you are not sure whether you can afford it, apply anyway. We have some stipends for members of OCNS (www.cnsorg.org) to give away. Student residence is provided and close to the campus in the Relexa hotel. *Faculty includes* Marja-Leena Linne, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland Bruce Graham, Institute of Mathematics and Informatics, University of Stirling, UK Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Arnd Roth, Wolfson Institute of Biomedical Research, University College London, UK Misha Tsodyks, Department of Neurobiology, Weizmann Institute of Science, Israel Dieter Jäger, Biology Department, Emory University, Atlanta, USA Gaute Einevoll, Norwegian University of Life Sciences & University of Oslo, Norway Matthew Larkum, Neurocure Cluster of Excellence, Humboldt University, Berlin, Germany Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Hermann Cuntz, ESI & FIAS, Frankfurt, Germany Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Gilles Laurent, MPI for Brain Research, Frankfurt, Germany Jochen Triesch, FIAS, Frankfurt, Germany Tatjana Tchumatchenko, MPI for Brain Research, Frankfurt, Germany Julijana Gjorgjieva, MPI for Brain Research, Frankfurt, Germany Arvind Kumar, KTH Royal Institute of Technology, Stockholm, Sweden Aiste Pranckeviciene, Lithuanian University of Health Sciences, Kaunas, Lithuania Viola Priesemann, MPI Göttingen, Germany Matthias Kaschube, FIAS, Frankfurt, Germany *Organizing committee* **** **Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Marja-Leena Linne, Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland Jochen Triesch, FIAS, Frankfurt, Germany * We are looking forward to welcoming you at the BNNI 2019 in Frankfurt am Main, Germany!*

May 6, 2019

NEST Conference 2019 / Registration Deadline 15 May / Extended Poster Deadline 15 May

by Hans Ekkehard Plesser

Dear Colleagues! We are looking forward to an exciting NEST Conference 2019 at NMBU, Ås, Norway on 24-25 June 2019 with talks covering a wide range of topics from simulation technology to large-scale network simulations as shown below. Please register at https://www.nest-initiative.org/conference by Wednesday, 15 May 2019 We still have a few slots for conference posters available, so you are still welcome to submit your poster until 15 May. Please see the conference website for instructions. We are looking forward to seeing you in Ås in June! Hans Ekkehard Plesser, Susanne Kunkel & Dennis Terhorst NEST Conference 2019 Talks (only presenting author shown) • GeNN: GPU-enhanced neural networks (James Knight) • Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles) • Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Cristiano Capone) • Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti) • Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova) • What’s new in the NEST user-level documentation (Jessica Mitchell) • ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler) • Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas) • Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi) • Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani) • A NEST CPG for pythonic motor control: Servomander (Harry Howard) • NEST desktop: A web-based GUI for NEST simulator (Sebastian Spreizer) • Tools for the Visual Analysis of Simulation Datasets (Óscar David Robles) • Neural Network Simulation Code for Extreme Scale Hybrid Systems (Kristina Kapanova) • NEST performance profiling (Susanne Kunkel) -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

May 6, 2019

Postdoc opportunity in computational/human vision at the University of Toronto

by Dirk Bernhardt-Walther

University of Toronto, Bernhardt-Walther Lab and Semantic Technology Lab A Post-doctoral position in computational modeling of vision and knowledge acquisition is available with Dirk Bernhardt-Walther (Psychology) and Michael Grüninger (Mechanical and Industrial Engineering) at the University of Toronto. We seek a colleague who shares our interest in explaining how structured knowledge about the world arises through visual perception. The project combines formal logic in ontologies with perceptual grouping of visual elements in complex, real-world scenes. Optionally, the project may involve measuring brain activity using functional magnetic resonance imaging. The ideal candidate has a strong computational and mathematical background, experience with state-of-the-art computer vision techniques and/or a strong background in computational neuroscience. The ability to communicate with a diverse team of researchers from engineering and psychology is an essential prerequisite. Current state-of-the-art computational models of visual processing are trained to extract visual features of increasing complexity in a hierarchy of layers, choosing a label from a pretrained set of categories at the apex of the hierarchy. Such systems lack an important aspect of the human visual system – a notion of meaning of visual content. The project aims to develop a new model of visual perception, which integrates the generation of networks of meaning into all levels of the visual processing hierarchy, thus allowing structured visual knowledge to arise naturally from visual perception. Specifically, this will involve the generation of a large database of images of real-world scenes with detailed ontological annotations, development of data structures and algorithms for extracting such ontological structures automatically from images, and testing the viability of our new meaning-based model of vision for explaining aspects of human vision. The University of Toronto, typically ranked as one of the world’s top 20 research universities, is located in downtown Toronto. The city is one of the most livable and cosmopolitan cities in the world, and has a vibrant academic and information technology community. This full-time position includes benefits and is fully funded for two years, with an initial appointment of one year. There is also the possibility of extending the position beyond the first two funded years by applying for outside fellowships. The earliest start date is September 3rd, 2019. Applicants should submit a CV, brief research statement, relevant publications, and contact details for two academic references to the addresses below. Please contact us at either address below for more information. Contact Details: Dirk Bernhardt-Walther: bernhardt-walther(a)psych.utoronto.ca, bwlab.utoronto.ca Michael Grüninger: gruninger(a)mie.utoronto.ca, stl.mie.utoronto.ca https://bwlab.utoronto.ca/postdoc-opening/

May 5, 2019

Job Opening in Juelich, Germany: PhD project: An approach to tracking the provenance of data acquisition and analysis in neuroscience

by Martina Reske

The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: www.hds-lee.de<https://www.hds-lee.de/> As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructures. Come and work with around 5,900 colleagues across a range of topics and disciplines at one of Europe’s largest research centres. The institute The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The department INM-6 consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Grün develops computational methods to analyze the joint activity of neuronal networks, and applies these methods to experimental data in the context of international collaborations using state-of-the-art approaches from neuroinformatics. The group is hiring a Doctoral Student (m/f) to strengthen its international and interdisciplinary team. Your Job: - Conceptualization, development and implementation of a tool and services to capture provenance of advanced workflows for the analysis of electrophysiological neuroscience data from complex, high-dimensional experimental recordings of brain activity. - Implementation of version-controlled, provenance-tracked data/metadata processing and analysis workflows using state-of-the-art technologies along the FAIR principles. - Co-development of data types and object models, metadata schemata, ontologies and software tools to describe results data and provenance information for typical analysis scenarios in neuroscience. - Representing the technology at scientific conferences and courses, to the public, and within the EU Flagship Project “Human Brain Project”. Your profile - MSc. in natural sciences or computer science - Good expertise in Python. - Preferably knowledge in semantic web technologies relevant for data curation, ontologies and provenance (RDF, XML, JSON, SHACL, PROV,…), in version control and issue tracking systems, and in Linux; - Experience with electrophysiological data and corresponding acquisition/storage technologies - Excellent communication skills in English are mandatory: TOEFL or equivalent evidence of English-speaking skills - Outstanding organizational skills and the ability to work independently - A high level of scholarship as indicated, for example, by bachelor/master study transcripts and two reference letters - You are convincing with your confident attitude and good communication skills - Outstanding organizational skills and the ability to work independently - Very good cooperation and communication skills and ability to work as part of a team in an international and interdisciplinary environment Our offer - 3 year position - Continuous scientific mentoring by your scientific advisor - Chance of participating in (international) conferences - Further development of your personal strengths, e.g. via a comprehensive further training program - FZ Jülich does not award PhD tiles. Doctoral degree conferred by RWTH Aachen University - Exciting work setting on an attractive research campus with a very good infrastructure, ideally situated within the city triangle of Cologne, Düsseldorf, and Aachen - World class science environment at the interface between neuroscience and technology on the most complex known systems - Pay in line with 100 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) - Unique HDS-LEE graduate school program - A position in a creative and international team that conducts research at the frontiers of science, themes ranging from computational neuroscience to simulation technology - The Jülich Research Center is one of the largest research centers in Europe, with excellent scientific equipment including the fastest supercomputer in Europe, is located on a green campus, and near the cultural centers Cologne, Düsseldorf, and Aachen/Aix-La-Chapelle - Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree - Excellent scientific equipment including the fastest supercomputer in Europe Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons. Further information on HDS-LEE is available at: www.hds-lee.de<https://www.hds-lee.de/> Become a part of HDS-LEE and apply at [XXX] Apply until: 30th June 2019 Starting date: 1st August 2019 -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

May 3, 2019