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CFP: TAC | Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data

by Pablo Barros

CALL FOR PAPERS IEEE Transactions on Affective Computing Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data Website: https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/tacSpecialIssue201… I. Aim and Scope Research trends within artificial intelligence and cognitive sciences are still heavily based on computational models that attempt to imitate human perception in various behavior categorization tasks. However, most of the research in the field focuses on instantaneous categorization and interpretation of human affect, such as the inference of six basic emotions from face images, and/or affective dimensions (valence-arousal), stress and engagement from multi-modal (e.g., video, audio, and autonomic physiology) data. This diverges from the developmental aspect of emotional behavior perception and learning, where human behavior and expressions of affect evolve and change over time. Moreover, these changes are present not only in the temporal domain but also within different populations and more importantly, within each individual. This calls for a new perspective when designing computational models for analysis and interpretation of human affective behaviors: the computational models that can timely and efficiently adapt to different contexts and individuals over time, and also incorporate existing neurophysiological and psychological findings (prior knowledge). Thus, the long-term goal is to create life-long personalized learning and inference systems for analysis and perception of human affective behaviors. Such systems would benefit from long-term contextual information (including demographic and social aspects) as well as individual characteristics. This, in turn, would allow building intelligent agents (such as mobile and robot technologies) capable of adapting their behavior in a continuous and on-line manner to the target contexts and individuals. This special issue aims at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, and affective computing, challenging and expanding current research on interpretation and estimation of human affective behavior from longitudinal behavioral data, i.e., single or multiple modalities captured over extended periods of time allowing efficient profiling of target behaviors and their inference in terms of affect and other socio-cognitive dimensions. We invite contributions focusing on both the theoretical and modeling perspective, as well as applications ranging from human-human, human-computer and human-robot interactions. II. Potential Topics Given computational models, the capability to perceive and understand emotion behavior is an important and popular research topic. That is why recent special issues on the IEEE Journal on Transactions on Affective Computing covered topics from emotion behavior analysis “in-the-wild” to personality analysis. However, most of the research published by these specific calls treat emotion behavior as an instantaneous event, relating mostly to emotion recognition, and thus neglect the development of complex emotion behavior models. Our special issue will foster the development of the field by focusing excellent research on emotion models for long-term behavior analysis. The topics of interest for this special issue include, but are not limited to: - New theories and findings on continuous emotion recognition - Multi- and Cross-modal emotion perception and interpretation - Lifelong affect analysis, perception, and interpretation - Novel neural network models for affective processing - New neuroscientific and psychological findings on continuous emotion representation - Embodied artificial agents for empathy and emotion appraisal - Machine learning for affect-driven interventions - Socially intelligent human-robot interaction - Personalized systems for human affect recognition III. Submission Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Affective Computing guidelines ( https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165369) Please submit your papers through the online system ( https://mc.manuscriptcentral.com/taffc-cs) and be sure to select the special issue: Special Issue/Section on Automated Perception of Human Affect from Longitudinal Behavioral Data. IV. IMPORTANT DATES: Submissions Deadline: 15th of January 2019 Deadline for reviews and response to authors: 06th of April 2019 Camera-ready deadline: 05th of August 2019 V. Guest Editors Pablo Barros, University of Hamburg, Germany Stefan Wermter, University of Hamburg, Germany Ognjen (Oggi) Rudovic, Massachusetts Institute of Technology, United States of America Hatice Gunes, University of Cambridge, United Kingdom -------------------------- -- Dr. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/

Oct. 18, 2018

NEURON course at SFN 2018 meeting

by Ted Carnevale

A few seats remain open for the NEURON course that we will be presenting at the SFN 2018 meeting in San Diego. However, the registration deadline is Friday, October 19--just three days from today, so you'll have to act quickly if you are interested in learning things like * why you should be using NEURON to model biological neurons and neural circuits * how to get started building models with NEURON's GUI and/or Python * advanced tips for getting the most out of using Python as NEURON's interpreter, and using NEURON's GUI for interactive modeling and debugging of models implemented with Python * using the Import3d tool to convert Neurolucida, Eutectic, and SWC morphometric data files to NEURON models * how to add new ion channels and other biophysical mechanisms to NEURON For the course description and registrion form, see https://neuron.yale.edu/neuron/static/courses/sd2018/sd2018.html --Ted This message was composed in plain text and may contain plain text formatting of source code, tables, and lists. Reading it in a client that ignores "excess" whitespace characters or line breaks may destroy that formatting, making this message unreadable. Outlook does that by default; learn how to disable the "Auto Remove Line Breaks" ""feature"" at support.microsoft.com

Oct. 16, 2018

Postdoctoral position in circuit modelling at Nottingham, deadline 7th November

by Mark Humphries

A postdoctoral position is available in the lab of Prof Mark Humphries at the University of Nottingham. We seek a postdoctoral researcher to tackle the deep question of how dopamine controls the dynamics of the striatum. As the main target of dopamine in the brain, the striatum bears the brunt of dopamine loss in Parkinson’s disease. Yet how dopamine controls the output of the striatum, and how the loss of dopamine disrupts that output, is unknown. The successful candidate will be responsible for constructing and simulating models of the striatum to investigate how dopamine controls the striatum’s dynamics, and the implications this will have for Parkinson’s disease. The project will build upon the detailed models of the striatum from the Humphries group (e.g. Humphries et al 2009 Neural Networks; 2010, PLoS Computational Biology). This is also a chance to join the newly-created computational neuroscience centre at Nottingham, which includes Profs Mark van Rossum and Stephen Coombes. Find out more about the lab and its interests here: https://www.humphries-lab.org/ The post will be available for 18 months in the first instance. More details, eligibility, and application instructions here: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI353818 Deadline: 7th November 2018 To discuss this or other projects, please contact Mark (mark.humphries(a)nottingham.ac.uk)

Oct. 16, 2018

Fully-funded PhD in computational neuroscience at Nottingham, deadline 31st October

by Mark Humphries

A fully funded PhD position in Computational Neuroscience is available with Prof. Mark Humphries at the School of Psychology, University of Nottingham. Deadline: October 31st Full details and to apply: https://www.nottingham.ac.uk/psychology/news/funded-phd-opportunity-prof-ma… The Humphries’ lab interrogates how the joint activity of many neurons encodes the past, present, and future, in order to guide behaviour. We combine simulations of neural circuits with “neural data science” – the development and use of machine-learning approaches to systems neuroscience data. We are particularly interested in PhD projects on the following research questions: * “Mapping the wires from neural activity”. How to use the next generation of imaging techniques that directly record neuron voltages to accurately infer the wiring between neurons. * “How to write activity into neurons". What features of neural activity should we change with optogenetics in order to test hypotheses about population activity? * “Dynamic control of the striatum in health and disease”. How the influence of the striatal interneurons is controlled by dopamine, and how that influence goes haywire when dopamine is lost in Parkinson’s disease. For a primer on our research, and our recent publications, visit our lab website: /https://www.humphries-lab.org/ To discuss these or other projects, please contact Prof Mark Humphries (mark.humphries(a)nottingham.ac.uk)

Oct. 16, 2018

Master-PhD studentship:Studying the physiological synergy of different ion channels in neurons

by luiza filipis

M2 stage (April – July 2019) and possibility to continue with a 3-years PhD, starting in October 2019, with scholarship already granted Studying the physiological synergy of different ion channels in neurons Following the recent award of a competitive National grant, we are looking for a brilliant and motivated undergraduate student, with biological and/or physical background, to perform a final stage at the last University level (Master-2 or equivalent), starting April 1st 2019 or earlier if possible and ending in July 2019. The student will receive a stipend of ~500€/month for the entire duration of the stage. The objective of the project is to combine advanced imaging techniques applied to neurons in brain slices, novel photoactivable toxins to target individual ion channels and advanced computational techniques to extract the precise activity of multiple ion channels underlying neuronal signals. The student will learn patch clamp and imaging techniques and apply those to test novel photoactivable toxins targeting calcium channels. At the end of the stage, if positively evaluated, a 3-year PhD with an already available scholarship from the labex consortium ICST (http://www.labex-icst.fr/en) will be offered to start on October 1st 2019. The criteria for selecting the students will include (in order of importance) - The academic record of the student (notes) with respect to the disciplines associated with the project. (For students coming from French Universities, an average note of >13/20 in the M1 and in the first semester of M2 is compulsory to be considered). - Motivation to carry on a career in scientific research as the following PhD opens the gate to further postdoctoral experiences outside France. - Personal attitude to laboratory life including relationships with colleagues. Applications, addressed to Dr Marco Canepari ( marco.canepari(a)univ-grenoble-alpes.fr) should contain: 1. a CV based on the academic record including notes (at least the most relevant and recent); 2. a motivation letter; 3. (optional) one or two supporting letters by academic staff or name(s) and email address(es) of one or two referees who know the candidate. Applications are open until November 10th 2018 and the selected student will be decided by December 1st 2018. More information on the project and on the research activity of our group is available at: -- Luiza Filipis,PhD Student Equipe MOTIV Laboratoire Interdisciplinaire de Physique (LIPhy), Université Grenoble Alpes et CNRS UMR 5588, Bat. E45, 140 avenue de la physique, Domaine univ., 38402 St Martin d'Hères cedex, FRANCE 33(0)476514731, Fax +33(0)476635495. luiza.filipis(a)univ-grenoble-alpes.fr http://marco-canepari.wix.com/neuron-imaging-team

Oct. 16, 2018

Funded Mathematics PhD at the University of Exeter - Designing the dynamics of coupled oscillators

by Purcell, Sarah

Designing the dynamics of coupled oscillators<http://www.exeter.ac.uk/studying/funding/award/?id=3301> Mathematics PhD (funded) University of Exeter Supervisors: Dr Christian Bick<http://emps.exeter.ac.uk/mathematics/staff/cb618> - University of Exeter Dr Kyle Wedgwood<http://emps.exeter.ac.uk/mathematics/staff/kcaw201> - University of Exeter The University of Exeter's College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in January 2019 or as soon as possible thereafter. For eligible students the studentship will cover tuition fees (UK/EU/International) in full plus an annual tax-free stipend of at least £14,777 for 3.5 years full-time, or pro rata for part-time study. The student would be based in the Department of Mathematics in the College of Engineering, Mathematics and Physical Sciences in Exeter. Networks of interacting oscillatory units are abundant in nature and technology. Their function and dynamics governs crucial aspects of our lives, ranging from the stability of power grids to the dynamics of the human brain. The dynamics of oscillator networks depends on (1) which oscillators interact with which other oscillator and (2) how oscillators interact with one another. This project will contribute to the question how the interplay between these two factors shape the network dynamics. The main aim of this PhD project is to develop theoretical and numerical approaches how oscillator networks can be designed to have specific interactions. This will allow to generate networks that exhibit a range of synchronized and locally synchronized dynamics. Moreover, the supervisor is currently collaborating with the experimental group of Istvan Z Kiss in St Louis (USA) who are working on electrochemical oscillators. Hence, there may be an opportunity to help implement the theoretical results in real-world experimental systems. Entry requirements Applicants for this studentship must have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. If English is not your first language you will need to have achieved at least 6.5 in IELTS and no less than 6.0 in any section by the start of the project. Alternative tests may be acceptable (see http://www.exeter.ac.uk/postgraduate/apply/english/)<http://see%20http:/www.exeter.ac.uk/postgraduate/apply/english/)> For more information, please contact Dr. Christian Bick (C.Bick(a)exeter.ac.uk<mailto:C.Bick@exeter.ac.uk>) or Dr. Kyle Wedgwood (K.C.A.Wedgwood(a)exeter.ac.uk<mailto:K.C.A.Wedgwood@exeter.ac.uk>) or see http://www.exeter.ac.uk/studying/funding/award/?id=3301

Oct. 16, 2018

Interviews at SfN 2018 for a Postdoctoral Fellow in Neural Decoding and Data Analytics Lab - Center for Bioelectronic Medicine

by Zanos, Theodoros

Attending Neuroscience 2018 in San Diego? Apply to be considered for an interview during the conference by sending your CV to tzanos(a)northwell.edu The Neural Decoding and Data Analytics Lab at the Center for Bioelectronic Medicine, headed by Assistant Professor Theo Zanos PhD, focuses on neural recordings and data analysis methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions. The lab utilizes a variety of techniques from signal processing, machine learning, optimization, neurophysiology and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time. The successful candidate will develop or deploy computational tools, will take part in neurophysiology experiments and collect data, organize and analyze data, collaborate with other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. The position comes with considerably competitive compensation. Job Responsibilities Include: Develops computational tools for neuroscience research. Run neurophysiology experiments. Performs bioelectronic medicine research. Collaborates with other research staff. Responsible for the planning, collection, organization, analysis, and interpretation of research data related to one or more projects Doctorate degree in Engineering, Computer Science or Statistics (Ph.D) required Authored/co-authored research papers and/or scientific abstracts, required Experience with various signal processing and machine learning methods, required Strong programming skills of Matlab, required, Python, C++, preferred Research experience in neurophysiology/neuroscience/animal surgery, preferred The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

Oct. 16, 2018

Research Scientist Position at Samsung

by Daniel Kepple

Samsung is recruiting computational neuroscientists for a new AI Research lab in New York City that will conduct fundamental research at the intersection of AI, robotics, and neuroscience. The position requires motivation to advance fundamental science and create revolutionary technological prototypes. Team members will have the intellectual freedom to cultivate their research roots by partnering with universities and publishing in leading scientific conferences and journals. Research Scientists in Machine Learning tackle unsolved problems in neural network architectures, learning algorithms, reinforcement learning, computer vision, natural language, and multimodal sensory processing. We will be at SfN, so if you are interested in learning more or applying, please send an email with your CV to d.kepple(a)samsung.com<mailto:d.kepple@samsung.com> See the following link for more details: https://samsungresearchamerica.applytojob.com/apply/IgDHsUiaPI/Research-Sci… Thanks, Daniel Kepple Research Scientist at Samsung AI Center, NY

Oct. 15, 2018

Funded PhD position in Statistical Analysis of Neural Data at UConn

by Ian Stevenson

The Statistical Neuroscience Lab at the University of Connecticut is recruiting PhD students to start Fall 2019. These are fully-funded positions, and candidates will be working in close collaboration with experimental collaborators to develop methods for modeling neural dynamics, interactions, and plasticity from large-scale spike train data. Qualifications: Our work is highly interdisciplinary, and applicants must have strong quantitative skills. Previous experience with neuroscience is helpful but not necessary. Candidates with backgrounds in physics, statistics, computer science, engineering, and related areas are welcome to apply. Applying: Interested students should apply through the UConn Neuroscience (*https://grad.psych.uconn.edu/prospective/phd/application-deadlines/ <https://grad.psych.uconn.edu/prospective/phd/application-deadlines/>*) or Biomedical Engineering (*http://www.bme.uconn.edu/academics/graduate-program/about-the-graduate-program-in-biomedical-engineering <http://www.bme.uconn.edu/academics/graduate-program/about-the-graduate-prog…>*) PhD programs. Deadlines are Feb 1 for Neuroscience and Jan 1 for BME. Contact ian.stevenson(a)uconn.edu for more information Thanks, Ian Stevenson Assistant Professor University of Connecticut Department of Psychological Sciences stevenson.lab.uconn.edu

Oct. 15, 2018

tenure track faculty searches at Georgia Tech

by Rozell, Christopher J

There are a number of tenure track faculty searches at Georgia Tech that may be of interest to this community. While only some are targeting neuro specifically, many have neuro as an area of specific interest. The ads are aggregated here: http://neuro.gatech.edu/career For this community, I would draw your attention to the searches in computationally-oriented departments such as Electrical & Computer Engineering (ECE), Math, and Computational Science and Engineering (CSE). Georgia Tech's campus is in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. The neuroscience community is strong and rapidly growing both at Georgia Tech and at our local partners Emory (including Emory Medical School) and Georgia State University. In particular, there is a specific current and historical strength in computational neuroscience in the local area, with a strong and collegial community. More info about our local community can be found here: http://neuro.gatech.edu/ Please contact me if you have questions. regards, chris rozell

Oct. 15, 2018

Multiple Postdoctoral Positions in Computational Neuroscience Available at Boston University, and beyond.

by Mark Kramer

Multiple Postdoctoral Positions in Computational Neuroscience Available at Boston University, and beyond. Three, NIH-supported postdoctoral positions in computational neuroscience are available immediately at Boston University in the labs of Uri Eden and Mark Kramer. The positions center on two projects: * Project: Measure, model, and modulate cross-frequency coupling. - Team: An interdisciplinary team of researchers at BU (Mark Kramer and Uri Eden) and the University of Minnesota (Alik Widge). - Goals: (i) Develop new statistical modeling methods to assess cross-frequency coupling (CFC) in real-time, and deploy these tools in in vivo animal experiments. (ii) Develop simple, biophysical models to identify candidate mechanisms of CFC. * Project: Assess human seizure dynamics across spatial and temporal scales. - Team: An interdisciplinary team of researchers at BU (Mark Kramer and Uri Eden) Harvard/MGH (Sydney Cash), and Columbia University (Catherine Schevon). - Goals: (i) Analyze human seizure activity in a unique data set, consisting of invasive brain voltage recordings across spatial scales - from single units to large brain areas, and temporal scales - from high-frequency oscillations to slow brain rhythms. (ii) Build biophysical models to probe how human seizures start, propagate, and stop. For either project, the successful candidate will have a strong background in statistics and computer programming; experience in interdisciplinary neuroscience research and biophysical modeling is preferred, although not essential. The positions are based at Boston University in the labs of Uri Eden and Mark Kramer. Both projects are highly interdisciplinary and will involve frequent and extensive interactions with neuroscientists at UMN (Alik Widge), or clinicians at Harvard/MGH (Sydney Cash) and Columbia University (Catherine Schevon). To apply, or for more information about the position, please send an email to Mark Kramer (mak(a)math.bu.edu) Please include an updated CV, names and contact information of three references, and a brief statement of your interest in the position and relevant qualifications. Boston University offers a vibrant community of statistical, mathematical, and neuroscience faculty and students, and many opportunities for collaboration within and outside the University.

Oct. 14, 2018

Faculty Position: Applied Mathematics Northwestern University

by Hermann Riecke

Northwestern University invites applications for a full-time, *tenure-track faculty position in**Applied Mathematics* to begin in September 2019 in the Department of Engineering Sciences and Applied Mathematics (http://www.mccormick.northwestern.edu/applied-math/) Hiring will be focused on the assistant professor level, although exceptional applicants at all levels will be considered. Candidates in *all fields of applied mathematics, science, and engineering* with a demonstrated ability to conduct *high-impact interdisciplinary research* *in applied mathematics* are encouraged to apply. Northwestern University offers a stimulating environment, encouraging collaborations across departments and schools. Collaborations of our current faculty span multiple departments in the McCormick School of Engineering, the Weinberg College of Arts and Sciences, and the Feinberg School of Medicine in areas including materials science, earth sciences, fluid dynamics, complex systems, microbiology, neuroscience, and social systems, to highlight a few. Our faculty actively participate in interdisciplinary centers such as the Northwestern Institute on Complex Systems, the Center for Synthetic Biology, the Center for Hierarchical Materials Design, the Center for Interdisciplinary Exploration and Research in Astrophysics, and the Center for Water Research, among others. The recently funded NSF-Simons Center for Quantitative Biology is a joint initiative primarily between the Department of Engineering Sciences and Applied Mathematics and the Department of Molecular Biosciences. We are seeking candidates whose research has strong connections to applications and who can strengthen and/or broaden the research activities of the department. Requirements include a PhD. Duties involve research and teaching. Submit applications electronically at https://facultyrecruiting.northwestern.edu/apply/MzE2.The application package should include a curriculum vita, a statement of research accomplishments and interests, a statement of teaching experience and philosophy, and 3-4 selected publications. In addition, the applicant should arrange for at least three, but no more than four letters of recommendation. Recommendation letters will be automatically solicited from the letter writers by email after their names are entered in the online application system. Questions may be sent to esam-facultysearch(a)northwestern.edu (Subject line: 2019 Faculty Search). Review of applications will begin November 15, 2018 and will continue until the position is filled.

Oct. 13, 2018

Opportunities to collaborate with the EPSRC Centre for Predictive Modelling in Healthcare

by Purcell, Sarah

Dear Colleagues, I would like to highlight the following opportunities for collaboration with the EPSRC Centre for Predictive Modelling in Healthcare at the University of Exeter, UK: The EPSRC Centre for Predictive Modelling in Healthcare<http://emps.exeter.ac.uk/mathematics/research/pmh/> brings together a world-leading team of mathematicians, statisticians and clinicians with a range of industrial partners, people with lived experience of chronic health conditions and other stakeholders to focus on the development of new methods for managing and treating noncommunciable disorders using predictive mathematical and statistical models. Our focus is on 'dynamic' health conditions such as autoimmune disease, cardiac arrhythmias, diabetes and epilepsy. We aim to revolutionise the clinical management of these disorders through better understanding the fundamental mechanisms of these disorders, as well as the development of mathematically-underpinned decision support systems. Visitor programme The Centre runs a lively visitor programme where both short term seminar speakers and longer term visitors can interact with the team. Whether you are an academic, a student, a healthcare professional or involved in healthcare technologies, if you are interested to visit or work with us, please get in touch by completing our visitor contact form<https://emps.exeter.ac.uk/mathematics/research/pmh/visitors/>. Visiting fellowship We have some funding available to support the visits of interested parties who will contribute to the work of the Centre. Please use the contact form<https://emps.exeter.ac.uk/mathematics/research/pmh/visitors/> to tell us more about your plans, the problem you would like to solve and who you would like to work with. Requests for funding will be dealt with on an individual basis. For further information or any queries, you can also contact Sarah Purcell<mailto:s.purcell@exeter.ac.uk> (Centre Manager). Best wishes, Sarah Purcell Centre Manager EPSRC Centre for Predictive Modelling in Healthcare University of Exeter Tel: 01392 726447 Web: www.exeter.ac.uk/pmh <http://www.exeter.ac.uk/pmh> Twitter: twitter.com/CPMH_UoE

Oct. 12, 2018

PhD position in statistical methods in neuroscience

by Benjamin Dunn

A PhD position is available in statistical methods in neuroscience at the department of Mathematical Sciences, NTNU, and in collaboration with Kavli Institute for Systems Neuroscience / Centre for Neural Computation, NTNU (Norway). The project will focus on parameter estimation, hypothesis testing and model selection in large population neural data with detailed 3D tracking of animal behavior. Additional details are available at https://www.jobbnorge.no/ledige-stillinger/stilling/156881/phd-fellowship-i… or contact us at: Mette Langaas, Mette.Langaas(a)ntnu.no Benjamin Dunn, Benjamin.Dunn(a)ntnu.no The deadline for applying is October 15th.

Oct. 11, 2018

Multiple open-rank tenure-track positions open at the AI Institute of Stony Brook University

by Memming Park

The departments of computer science and biomedical informatics at the Stony Brook University are recruiting tenure track faculties. Stony Brook University is located on Long island, east of New York city. The senior-level position come with the title of Empire Innovation Professor, and enhanced salary and research support. Exceptionally qualified senior and junior candidates in *all areas of Artificial Intelligence* are invited to apply, particularly in the following areas but not limited to: *Machine learning, computer vision, natural language processing or data science*. See the following links for details: https://www.cs.stonybrook .edu/about-us/career/Multiple-Positions-all-levels-Empire-Innovation-Professor-AI-Institute- Stony-Brook-University Official Job Title: Assistant, Associate or Full Professor REF#: F-9924-18-08 *The position will be open until filled.* Sincerely, Memming Park -- Assistant Professor Department of Neurobiology and Behavior Stony Brook University http://catniplab.github.io/

Oct. 11, 2018

Faculty position in computational neuroscience at University of Illinois

by Sutton, Brad

The Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC) seeks a full-time Bioengineering faculty member for a tenure-track or tenured position in the broad area of computational bioengineering: including computational neuroscience or other related areas. See: https://go.illinois.edu/BIOE_Fac_2018 for more information.

Oct. 10, 2018

Advanced Research Fellowships - Artificial Intelligence

by Peter Andras

Industrial Strategy Advanced Research Fellowships Special area of interest: Artificial Intelligence and industrial / medical applications. Keele University Closes: 30th October 2018 Job Ref: KU00000892 Salary: Grade 8 £42,036-£50,132/Grade 9 £51,630-£59,828 Were Keele and were different. Founded over 60 years ago to meet the challenges of a rapidly changing world, our mission today is as relevant as it was then. A key part of our mission is the delivery of research with the highest impact. The University and its Science & Innovation Park play a critical economic anchor role across and beyond the Midlands area of the UK. In the last 2 years we have invested over £40 million in building our capacity to work collaboratively with business, industry and a wider set of partners. As part of our future plans for continued investment, we are now seeking to recruit two Industrial Strategy Advanced Research Fellows to the University. Applications are welcomed from individuals with a track record in any discipline, which aligns with the aims and objectives of the UK Governments Industrial Strategy and the UKRI Funding Councils delivering the strategy (e.g. artificial intelligence). We particularly welcome applications which will further build the Universitys reputation for internationally-excellent, world-leading and high impact research in one or more grand challenge areas within the Industrial Strategy. The fellowships are principally research focused positions until July 2021, after which role-holders will transition into substantive academic roles which will include both teaching and research responsibilities. Appointments will be considered at grade 8 (Lecturer scale) or grade 9 (Senior Lecturer scale). The level will be determined by the experience and track-record of individual candidates. Candidates will be expected to demonstrate an established or emerging track record of high quality collaborative research with business, industry and other non-academic partners across the UK, aligned to areas of existing research endeavour at Keele University. An ability to demonstrate a track-record and future desire to collaborate with a wide range of commercial partners, large and small, will be welcomed. Initial applications are invited with a deadline of 30 October 2018, with interviews taking place 3-7 December 2018. Applications will be selected against the person specification for the role, which will include consideration of how the proposed candidate will complement established and emerging areas of research in regard to our interdisciplinary research themes of: sustainable futures, social inclusion and global health. Applicants interested in applying for these jobs in the area of Artificial Intelligence and its industrial / medical applications may contact Professor Peter Andras (p.andras(a)keele.ac.uk <mailto:p.andras@keele.ac.uk> ) for further information about these jobs. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. For full post details please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. Closing date for applications: 30th October 2018 Promoting Equality, Valuing Diversity. --- Professor Peter Andras Head of School School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Web: <http://www.scm.keele.ac.uk/staff/p_andras/> www.scm.keele.ac.uk/staff/p_andras/

Oct. 10, 2018

COSYNE 2019: Abstract submission is now open; Call for workshop proposals; Cosyne Mentoring Forum

by Tomas Hromadka

==================================================== Computational and Systems Neuroscience 2019 (Cosyne) MAIN MEETING 28 February - 03 March 2019 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2019 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open Workshop proposal deadline: 31 October 2018 Cosyne registration opens: 11 November 2018 Abstract submission deadline: 15 November 2018 ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. COSYNE SPEAKERS Bruno Averbeck (NIMH) Gwyneth Card (Janelia) Kathleen Cullen (John Hopkins) Kenji Doya (OIST) Ken Harris (UCL) Sonja Hofer (Sainsbury Wellcome Centre) Yann LeCun (NYU) Edvard Moser (NTNU) Yiota Poirazi (IMBB-FORTH) Maneesh Sahani (Gatsby-UCL) Eric Shea-Brown (U Washington) Sara Solla (Northwestern) Karel Svoboda (Janelia) Ilana Witten (Princeton) ORGANIZING COMMITTEE General Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Program Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Workshop Chairs: Catherine Hartley (NYU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ---------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ---------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (08.00-11.00a) and afternoon (04.30-07.30p) sessions. - Workshops will be held at Cascais, a coastal village ~34 km west of Lisbon. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Submission instructions for workshop proposals are available at Cosyne.org -> Workshops. Proposals should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). The first author on the list becomes the contact author for the proposal. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names, affiliations, and expected topics of talks of potential invitees, and a list of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - A brief summary of relevant prior experiences and publications of the organizers (about half a page total). - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. When preparing workshop proposals, the organizers are encouraged to: - address timeliness of workshop in the proposal: what new insights have been generated (new papers, data, techniques, whatever) over the past few years that make now the right time for discussing them and for presenting them to the wider community? - directly describe how speakers address the central topic, e.g. which are the big question(s), which speakers represent different viewpoints on the same question, which experimentalist addresses the theories addressed by which theoretician (and vice versa); - address controversies and bring together speakers from different “camps” in the same field, or from different fields that---according to the organizers---should talk more to each other for whatever reason; WORKSHOP COSTS Detailed registration costs, etc., will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2019 WORKSHOP CHAIRS Catherine Hartley (NYU) and Ralf Haefner (University of Rochester) email: workshops [at] cosyne.org ---------------------------------------------------- COSYNE MENTORING FORUM ---------------------------------------------------- Cosyne Mentoring Forum provides a platform for discussions among Cosyne participants, particularly for help with composing abstracts for the meeting and getting feedback before submission. The forum is intended to be a place to connect with other computational and systems neuroscientists. Forum members are encouraged to share advice on everything from writing a great Cosyne abstract to navigating a job search. See Cosyne.org -> Mailing lists for details on how to subscribe and post to the forum. ---------------------------------------------------- OTHER COSYNE MAILING LISTS ---------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

Oct. 10, 2018

[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems

by Pierre-Yves Oudeyer

Dear colleagues, we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. It is available at: https://goo.gl/NAwBfD Featuring dialog: === "Curiosity as Driver of Extreme Specialization in Humans" == Dialog initiated by Celeste Kidd with responses from: Elizabeth Bonawitz, Maya Zhe Wang, Brian Sweis, Benjamin Hayden, Susan Engel, Abigail Hsiung, Shabnam Hakimi, Alison Adcock, Moritz Daum, Arjun Shankar, Tobias Hauser, Goren Gordon and Perry Zurn == Topic: Curiosity-driven learning is probably one of the most fundamental mechanisms in human learning, and yet it is also probably one of the least understood. Broadly construed as spontaneous exploration and engagement with activities or material without any extrinsic goal (as opposed to searching for information useful for an extrinsic goal), many mysteries remain to be uncovered. What are the causal links between curiosity and learning? How does prior knowledge about a topic or an activity relates to curiosity about this topic? What is the role of curiosity in life-span development? Can human curiosity explain the apparently unique tendency of humans for extreme specialization? Reversely, how do different forms of curiosity (diversive or specific) evolve as children grow up and become adults? While early computational models of curiosity propose theoretical approaches to understand their cognitive mechanisms, how can we understand the affective/ emotional dimensions of curiosity? And how has the linguistic concept of “curiosity” evolved in occidental culture? Call for new dialog: === « Leveraging Adaptive Games to Learn How to Help Children Learn Effectively" == Dialog initiated by George Kachergis == Topic: How can one achieve efficiently “translational educational sciences” and get these principles used in real-world large-scale educational technologies? In this dialog, Georges Kachergis highlights challenges related to collaborations between cognitive scientists and game developers, how to deploy real world experiments, and how to enable scientific understanding when many variables cannot easily be controlled? Those of you interested in reacting to this dialog initiation are welcome to submit a response by December 15th, 2018. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau, Editorial Assistant Cognitive NeuroRobotics Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa Japan Email: fabien.benureau [at] oist [dot] jp

Oct. 10, 2018

PhD project in computational modeling of Alzheimer’s disease at MCEN/BCAM, Bilbao, Spain

by Maurizio De Pitta

Fully-funded PhD project: Computational modeling and data mining of early markers of Alzheimer’s disease Lab / Host institution : Group of Mathematical, Computational and Experimental Neuroscience (MCEN) at the Basque Center of Applied Mathematics (BCAM) Location : Bilbao, The Basque Country, Spain Duration : 3 years. Stipend : 18k EUR/year + mobility allowance Starting date : immediate Scientific background : Alzheimer’s disease (AD) is a chronic, age-related neurodegenerative disorder characterized by cognitive decline, memory loss, personality changes, and withdrawal. The causes of AD remain poorly understood and no treatment is currently available to stop or reverse the progress of the disease nor to reduce the risk of developing it. The principal pathological hallmark of AD is the accumulation in the brain of senile plaques, primarily composed of the amyloid beta (Aβ) peptide, and tangles of filaments of hyperphosphorylated tau protein. However, population-based studies show that there is a continuum of AD type pathology in the aging population, with considerable overlap in the burdens of tangle and plaque pathology in demented vs. non-demented individuals. It is therefore difficult to establish thresholds of classical lesions for the prediction of dementia and additional factors are operative to determine whether a given burden of pathology is associated with cognitive impairment. There is therefore a need to explore non-standard pathological markers. Workplan : The candidate will deploy mathematical tools to simulate biophysical processes that could underpin deposition of amyloid beta plaques and tau filaments. Emphasis will be on emerging evidence on the interaction between neurons and glial cells, to identify potential mechanisms that promote local excitation of neuronal networks at the onset of AD, before cognitive impairment takes over, or when only mild cognitive deficits are diagnosed. The project is strongly interdisciplinary, as the candidate will pursue computational research in close collaboration with experimentalists to design realistic models inspired by experiments in cell cultures and brain slices from AD mouse models. At the same time she/he will be able to design experiments based on predictions from her/his models. Working environment : The candidate will be supervised by Dr. Maurizio De Pittà in all the aspects of the project. Dr. De Pittà is a leading expert on computational modeling of neuron-glia interactions, with an experience in computational neuroscience of 10+ years. Dr. De Pittà recently joined the MCEN group at BCAM as « Junior Leader » fellow with a start-up grant supported by la Caixa Banking Foundation. The MCEN group is a rapidly growing team led by Ikerbasque Professor Serafim Rodrigues, that was established in 2016 as part of the strategic research portfolio enacted by the Basque Country to foster interdisciplinary research in Neuroscience. The candidate will collaborate with Dr. Elena Alberdi and Prof. Carlos Matute at Achucarro, the Basque Center for Neuroscience in Bilbao, at the local campus of the University of the Basque Country (UPV/EHU). BCAM is one of the Severo Ochoa’s excellence centers for scientific research in Spain providing a fertile international environment for enriching scientific collaborations. Bilbao, as the capital of the Basque Country in Spain, is a vibrant, friendly city with one of the highest standards of life quality in Spain. Requirements : -- Master’s degree (or equivalent) in Physics, Mathematics, Engineering, or related fields -- Excellent English skills (oral and written) -- Programming skills in Matlab, Python and C/C++ -- High motivation for interdisciplinary research with strong interests for biological details with an analytic mindset -- Essential knowledge of neuroscience, cell biology and biochemistry is preferred but not required Additional notes : This is a cutting-edge project that ideally matches with outstanding and creative candidates, with a strong motivation for international collaborations, mobility, and independence. The candidate is supposed to work on the project full-time (i.e. part-time agreements are taken into consideration), and must be . To apply : Applicants should send a CV with letter of motivation (max 2 pages) to Dr. De Pittà at mdepitta(a)bcamath.org with headings : « PhD Candidacy ». Review of applicants is incumbent, and will continue until the position is filled. The earliest start date is November 2018. -- Maurizio De Pittà https://sites.google.com/site/mauriziodepitta/

Oct. 9, 2018

Tenure-Track Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France

by boris gutkin

> Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France > > Department of Cognitive Studies at the Ecole Normale Superieure (Paris France) seeks candidates for a tenure-track junior professor in computational neuroscience. Candidates in cognitive computational neuroscience, machine learning approaches to neuroscience and statistical neuroscience are particularly encouraged to apply. Successful candidate will join the computational neuroscience core at the Laboratory for Cognitive and Computational Neuroscience (LNC2, https://lnc2.dec.ens.fr/fr) > > Candidates should show a strong track record of research in computational neuroscience as well as potential for scientific independence and achievement. Candidate will be expected to develop an independent research program during their pre-tenure period In addition to research candidates will spear-head the computational neuroscience track in the Master of Cognitive Sciences at ENS (Cogmaster,www.cogmaster.net/) provide teaching in computational neuroscience at the masters and upper undergraduate level as well as supervise masters and doctoral students. > > The position offers a 5-year tenure-track contract with an evaluation at the end of the 3rd year. Upon successful evaluaton, the candidate will proceed directly to a competition for a full professorship at ENS Paris. Support for national and international grant competitions will be provided. > > The candidate will join a lively cognitive neuroscience and computational neuroscience community. Notably the computational neuroscience core of the LNC includes research groups of Boris Gutkin, Srdjan Ostojic and Sophie Deneve and counts over 20 members in total. Computational approaches to human cognitive neuroscience and neuroeconomics are also represented by groups of Etienne Koechlin, Valentin Wyart and Stefano Palminteri. Ample interactions with experimental and computational groups in the Paris area are available and encouraged. LNC2-DEC-ENS is located in the heart of Paris in the Quartier Latin. > > > Candidates should send an application package by e-mail to the application email address below. The subject line should include the words COMPUTATIONAL NEUROSCIENCE ENS POSITION followed by the name of the applicant. > > APPLICATION ADDRESS: recruitment.jp-compneuro(a)ens.fr > > The application package should include: > > - a CV, including a list of publications; > > - contacts of 3 referees from whom recommendations letters can be requested; > > - ‪a statement outlining both teaching and research goals/experience (up to 3 pages); > > - a research sample consisting of 3 papers. > > > Deadline for the applications is Nov 15 2018. > > Candidate is expected to start in September 2019. > > Informal enquiries and Questions can be sent to boris.gutkin(a)ens.fr > >

Oct. 7, 2018

PhD studentship: Rapid Bacteria Colony Counting Algorithm Development

by Steuber, Volker

PhD Studentship: Rapid Bacteria Colony Counting Algorithm Development ?Biocomputation Research Group , University of Hertfordshire and Synoptics Limited, Cambridge Programme Description The University invites applications for a PhD student to join our Hertfordshire Knowledge Exchange Partnership (HKEP) scheme. This four-year project requires a PhD student to undertake a collaborative research project with support from University academic supervisor(s) and company scientists. The project begins with a Knowledge Exchange year in which you are based in the company. Successful completion of the first year will require the submission of a scientific report, research proposal and an oral examination. The successful candidate will then begin a three-year PhD research project in an area of interest to the company. Start date: January 2019 Duration: Four years Company: Synoptics Limited, Cambridge Stipend: Starts at £15,220 per annum plus approved expenses. All students will also receive a maximum contribution towards their individual tuition fees that is equivalent to the Home/EU student fee in each year of registration. Project Overview: Bacterial colony counting is widely used in both industry and research laboratories in a wide range of applications; these include quality control, environmental monitoring, immunological studies and medical testing. The number of colonies on an agar plate can be used to estimate the number of viable bacteria (total viable count) present in a test sample. This can then be used as an indicator of the cleanliness of a surface, the sterility of a product or the presence of a bacterial infection. Traditionally, colony counting was performed manually or using a light box which was time-consuming and prone to human error. The advent of automated colony counters, which use sophisticated algorithms to detect and count colonies based on shape or colour, has overcome these drawbacks. The popular technologies exploited for bacteria colony counting are edge detection techniques for image processing. However, a number of challenges remain in automated colony counting: identifying and splitting touching colonies, background noise, colony density variance etc. Hence, more advanced and sophisticated techniques need to be developed to cope with these issues while taking efficiency into account. The aim of this project is to propose and implement new algorithms which are robust to noise for rapid bacterial colony detection and counting. Supervisor Information Dr Na Helian Dr Yi Sun Dr Peter Lane Mr Richard Hopwood Application Process For further information and to apply for this role please email hsp(a)herts.ac.uk. The deadline for applications is 31st October 2018. Informal enquires should be addressed to Dr. Na Helian (n.helian(a)herts.ac.uk) Please note that applications sent directly to these address will not be accepted.? https://www.jobs.ac.uk/job/BNE643/phd-studentship-rapid-bacteria-colony-cou…

Oct. 5, 2018

Research Assistant Professor opening for NeuroMorpho.Org IT Manager position

by Ruben Armananzas Arnedillo

Dear Colleagues, We are searching for an exceptional individual to lead the information technology infrastructure of NeuroMorpho.Org as a Research Assistant Professor in the Center for Neural Informatics and the Bioengineering Department of George Mason University (near Washington DC, USA). If you know suitable candidates with a Ph.D. in computer science, software engineering, information systems, applied mathematics, physics, data science, or related fields, please encourage them to apply at https://jobs.gmu.edu/postings/44093 Especially desired are proficiency in Java, C/C++, Python, R, Matlab, and Shell scripting; experience with Unix/Linux server administration; SQL & NoSQL database design and system operation; web technologies and API (micro) services; content management & collaborative platforms; big-data & cloud computing analytical tools; task analysis automation; knowledge in project management (PMP or similar); and understanding of neuroscience data. The successful applicant will assume responsibility of the NeuroMorpho.Org continuous maintenance, development, and management, including design of new solutions to enhance and expand existing functionality. The incumbent will work directly with the project director, will select and supervise multiple masters-level assistants, and will have unlimited access to dedicated supercomputer and server facilities, flexible working schedule, salary based on the NIH scale, and state employee benefits. Review of applications will begin on November 1, 2018; the position is available immediately. The NeuroMorpho.Org Team

Oct. 3, 2018

Assistant Professor Position in High-Dimensional Data Analysis, CU Boulder, Dept. of Applied. Math. (Deadline Oct. 16, 2018)

by Zachary Kilpatrick

The Department of Applied Mathematics at the University of Colorado at Boulder invites applications for a tenure track faculty position at the Assistant Professor level to begin August 2019. The position is in the area of high dimensional data analysis (big data), with possible areas of emphasis including nonlinear optimization, analysis in high-dimensional spaces, randomized projections, probabilistic numerics, harmonic analysis, theoretical deep learning, and related areas. However, exceptional candidates in all fields of Applied Mathematics may be considered. The candidate is expected to take an active role in undergraduate and graduate teaching, conduct a vigorous externally funded research program, advise graduate students, and participate in department and university governance. We also seek candidates who demonstrate effectiveness in teaching, mentoring, nurturing, and inspiring diverse students of all ethnicities, nationalities and genders, including first generation college undergraduates. Review of applications will begin on October 16, 2018; applications will be accepted until the position is filled. —————————————— The College of Arts and Sciences at the University of Colorado Boulder is home to five Nobel laureates, four National Medal of Science winners, eight MacArthur "Genius Award" winners, 100 Fulbright Scholars, 17 Guggenheim Fellows, 14 Packard Fellows, 24 members of the National Academy of Sciences, and 23 members of the American Academy of Arts and Sciences. CU Boulder is the only university in the Rocky Mountain region in the American Association of Universities, a group of the nation’s leading research institutions. The Department of Applied Mathematics is home to 22 tenured and tenure track faculty members whose research span computational mathematics, nonlinear mathematics including nonlinear dynamics and waves, mathematical biology, physical applied mathematics, probability, and statistics. The Department sits at the crossroads of the university's two largest colleges, being rostered in the College of Arts and Sciences while teaching students in the College of Engineering. Our faculty have won numerous awards including: four fellows of the Society of Industrial and Applied Mathematics, two fellows of the American mathematical Society, two Guggenheim Fellows, an American Statistical Association Fellow, and a Sloan Fellow. For more information see http://www.colorado.edu/amath. ————————————— Minimum Qualifications: Applicants must have a Ph.D. in applied mathematics or a related area, a strong record of research accomplishments, and have excellent teaching and communication skills. To apply, please submit the following materials at https://jobs.colorado.edu/jobs/JobDetail/?jobId=12897 <https://jobs.colorado.edu/jobs/JobDetail/?jobId=12897> 1. Resume/CV 2. Cover Letter 3. List of references 4. Statement of Teaching Philosophy 5. Statement of Research Philosophy 6. You will need to submit 3 references for this position. These individuals will be contacted and asked to submit a letter of recommendation as part of your application materials. This information will be kept confidential and viewable only by the search committee.

Oct. 3, 2018

Open Rank Faculty Position, Department of Mathematics, City College of New York, CUNY

by Asohan Amarasingham

Dear Colleagues, The Department of Mathematics of the City College of New York is hiring invites applications for one or more positions at the Assistant Professor, Associate Professor, or Professor levels, to start August 31, 2019. Computational neuroscience and computational biology generally are an area of particular interest for the search, and an area of focus both in the department and more broadly at City College and CUNY (see, for example, the Initiative for Theoretical Sciences at the CUNY Graduate Center). Thus researchers who focus on applications of mathematics or statistics to neuroscience are encouraged to apply. The department has strong mathematical research activities in a broad range of areas. Instructional needs are at all levels, including undergraduate service and major courses, and graduate courses both in the CCNY graduate programs and through the CUNY Graduate Center. The full announcement is below. Please feel free to contact me if you have further questions. Best regards, Asohan Amarasingham ==================================== https://www.mathjobs.org/jobs/jobs/12498 The Department of Mathematics of the City College of New York invites applications for one or more positions at the Assistant Professor, Associate Professor, or Professor levels, pending administrative approval, to start August 31, 2019. The department has strong research in a broad range of areas. Areas of greatest need and interest are for applicants with expertise in statistics, probability, and those areas of applied mathematics most relevant to computational biology and data science, but exceptional applicants from all areas of pure and applied mathematics will be considered. Instructional needs are at all levels, including undergraduate service and major courses, and graduate courses both in the CCNY graduate programs and through the CUNY Graduate Center. The City College of New York (CCNY) is part of the City University of New York (CUNY) system, with a strong tradition of excellence in science and engineering. CCNY serves a broad range of students and CUNY has an exemplary record in moving students from poverty to prosperity. CCNY serves a broad range of students and CUNY has an exemplary record in moving students from poverty to prosperity. The Department actively encourages applications from women and minority candidates. Applicants must apply electronically at http://www.mathjobs.org ALL APPLICANTS MUST APPLY VIA CUNYfirst FOR CONSIDERATION. Please apply by visiting this CUNY.jobs page<https://cuny.jobs/jobs/?q=19465> or by the following: Go to www.cuny.edu and click on "Employment" or visit Employment at CUNY<http://www2.cuny.edu/employment/> Click "Search job listings" Click on "More options to search for CUNY jobs" Search by Job Opening ID number 19465 Click on the "Apply Now" button and follow the instructions. The applicant must submit an application cover letter detailing interest in the position, a current CV, statements detailing research and teaching interests, a diversity statement reflecting the candidate's thoughts and experience on fostering inclusivity in the classroom and workplace, and arrange for four letters of reference to be submitted through mathjobs.org, with at least three addressing research and at least one addressing teaching qualifications. Review of applications begins October 15th, with applications considered until the position is filled. The City University of New York is an Affirmative Action/Equal Opportunity Employer and Educator.

Oct. 2, 2018