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vacancy for female tenure track assistant professor at University of Groningen (Artificial Intelligence)
by Marieke van Vugt RUG Dec. 10, 2016

Dec. 10, 2016

There are 5 tenure track positions available for female candidates in the Faculty of Science and Engineering, of which one will be placed in the Department of Artificial Intelligence. This department has a very broad interpretation of artificial intelligence, with expertise ranging from cognitive science to robotics and machine learning. We have a particular interest in model-based neuroscience and neuromorphic computing. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… Rosalind Franklin Fellowships at the Faculty of Mathematics and Natural Sciences (216337-41 RFF) Organisation The Faculty of Mathematics and Natural Sciences is home to a kaleidoscopic range of disciplines and research strengths. Our teaching and research programmes range from nanomaterials to engineering, from pharmacy to ecology, and from computer science to astronomy. Our researchers investigate fundamental key questions while collaborating with partners from industry, the medical world and other social sectors. Frontline research groups explore new fields such as synthetic biology and sustainable energy use. The Faculty place a high priority on the international dimension of teaching and research and has a long history of stimulating, initiating and carrying out multidisciplinary and internationally oriented research. The Faculty has 40 Bachelor’s and Master’s degree programmes, 35 of which are English-taught, attracting students from all over the world. Job description The University of Groningen initiated the prestigious Rosalind Franklin Fellowship programme to promote the advancement of talented international researchers at the highest levels of the institution. The ambitious programme has been running at the Groningen Faculty of Mathematics and Natural Sciences since 2002 and at the University as a whole since 2007. The Rosalind Franklin Fellowship programme is aimed at women in industry, academia or research institutes who have a PhD and would like a career as full professor in a European top research university. The Fellowship is only awarded to outstanding researchers. Successful candidates will be expected to establish an independent, largely externally funded research programme in collaboration with colleagues at our Faculty and elsewhere. They will also be expected to participate in and contribute to the development of the teaching programme of their discipline. The University of Groningen has 13 tenure track positions available in this programme, currently co-funded by the European Union. We invite ambitious female academics to apply for these positions. Under European jurisdiction it is lawful to specifically recruit underrepresented groups. Five RFF positions In the next round of Rosalind Franklin Fellowships, the Faculty of Mathematics and Natural Sciences has five Rosalind Franklin Fellowships to offer in the disciplines: Fundamental Computer Science (Data Management, Theory of Computing, Algorithms, Networks, Security) Fundamental Mathematics (Algebra, Geometry, Analysis), Mathematical Data Analysis, Complex Systems Mechanical Engineering (field of dynamics and vibrations, optomechatronics, or other fields relevant for advanced instrumentation) Artificial Intelligence (logic, neuromorphic computing, cognitive modelling or robotics) Bioinformatics (complex biological systems, genome analyses, metagenomics and microbiology, host-microbe biology, new computational algorithms and methods). Qualifications • PhD degree for at least 3 years on reference date 1 February 2017 • exemplary research record demonstrated by publications in international top journals and/or in peer-reviewed books • proof of independence and international recognition • experience in various working environments in different countries • successful in acquiring external funding for research projects • teaching experience or proven inclination for teaching demonstrated by tutoring/mentoring of individuals or small groups • demonstrable organizational qualities and communication skills • a well-founded and motivated application with an innovative research plan for the first five years and a challenging outlook for the future which takes into account the international research landscape in their field of specialization • must not have resided or carried out your main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately prior to the reference date of 1 February 2017. Please check whether you are eligible to apply by doing the eligibility check: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/ <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/> Additional requirements In addition to the University’s general requirements for the fellowships, the Faculty of Mathematics and Natural Sciences has the following additional requirements: • at least two years of postdoctoral experience, preferably in various research institutions (Dutch applicants should have at least two years of postdoctoral experience outside The Netherlands) • experience in supervising research projects • the candidate must have the potential to develop into a leader who guides and inspires • the proposed research should be complementary and of added value to the research areas currently represented within the Faculty. Conditions of employment The University of Groningen offers a starting salary for the Rosalind Franklin Fellow/assistant professor, dependent on qualifications and relevant work experience, of a minimum of € 3,427 gross per month (salary scale 11 Dutch Universities) up to a maximum of € 5,330 gross per month (salary scale 12) for a fulltime position. The salaries include an 8% holiday allowance, an 8.3% end-of-year bonus and participation in an employee pension scheme. The conditions of employment comply with the Collective Labour Agreement for the University of Groningen. The appointment of a Rosalind Franklin Fellow/assistant professor will be on a temporary basis for a maximum of 6 years. After 5 years of employment, there will be an assessment of performance based on established criteria including research and teaching qualifications. If the outcome of the assessment is positive, the assistant professor will be promoted to the rank of associate professor with tenure. At the end of a further 4-7 year period, there will be another assessment aimed at promotion to full professor. Please visit our webpage for more information about conditions of employment: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/condi… <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/condit…> Application You may apply for this position until 31 January / before 1 February 2017 Dutch local time by means of the application form (click on "Apply" below on the advertisement on the university website). Applicants should submit: 1. A full curriculum vitae including a complete list of publications (file 1) 2. A letter of motivation (file 2) 3. A 3-5 page statement of research accomplishments and future research goals (file 3) 4. A list of five selected ‘best papers’ (preferably including copies) (file 4) 5. the names and contact information (including email address) of 3 referees (file 5). The application files should be sent electronically in PDF format. Applications with missing credentials will not be taken into consideration. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com

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Postdoctoral Scholar - Sensorimotor Integration and Sensorimotor Learning for Speech Production
by Emre Neftci Dec. 8, 2016

Dec. 8, 2016

A Postdoctoral Scholar position in the areas of sensorimotor integration and sensorimotor learning for speech production is available in the Auditory & Language Neuroscience Lab (PI Greg Hickok; http://sites.uci.edu/alns/) and the Neuromorphic Machine Intelligence Lab (PI Emre Neftci; http://nmi-lab.org/) in the Department of Cognitive Sciences at the University of California, Irvine. Description of Duties: The research involves developing neurally feasible computational models of speech production that is integrated with and informed by ongoing work on speech production using a wide range of methods including functional imaging, lesion, and intracranial electrocorticography (ECoG) and stimulation mapping. Salary and benefits: This position is full-time and includes benefits. Salary is commensurate with experience. Qualifications: The successful candidate must possess a Ph.D. (by the start of the appointment) in Cognitive Sciences, Physics, Neuroscience, Computer Science, or Engineering, and must have expertise in computational neuroscience and/or machine learning. The position is anticipated to begin in late 2016 or early 2017 for one year with an additional one-year reappointment possible contingent upon satisfactory performance and productivity. We seek a candidate with excellent verbal and written communication skills who is strongly motivated and has substantial computer programming experience – the labs rely heavily on MATLAB, R, Psyscope/Psychtoolbox and Python. Working knowledge of artificial and spiking neural networks is a plus. Application Procedure: Interested candidates should submit a cover letter (describing their research experiences, interests, and goals,), a CV, and the names and contact information of three references at: https://recruit.ap.uci.edu/apply/JPF03744 For more information about this position, please contact Dr. Greg Hickok (greg.hickok(a)uci.edu) or Dr. Emre Neftci (eneftci(a)uci.edu) The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. -- Emre Neftci, PhD (ETH Zurich), Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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Postdoc position in systems neuroscience
by Shuzo Sakata Dec. 6, 2016

Dec. 6, 2016

Applications are invited for a postdoctoral research associate position in the group of Dr Shuzo Sakata in Strathclyde Institute of Pharmacy and Biomedical Science at University of Strathclyde, Glasgow, UK. This position is funded by the Leverhulme Trust. Mission of our research team is to understand state-dependent information processing in the brain at the level of neural circuits. This project particularly concerns the function of dream sleep. Taking multidisciplinary approaches, we will investigate the function of sub-second brain waves during REM sleep in rodents. Candidates should have a PhD or EngD in the field of neuroscience or related disciplines, including engineering and physics. Experience in at least one of the following areas is desirable: behavioural neuroscience, in vivo neurophysiology and computational neuroscience. Experience with quantitative skills for neurophysiological data analysis would be advantageous. Applicants should send (1) a CV and (2) a summary of their specific interests in our research programs to Dr. Shuzo Sakata, email: shuzo.sakata(a)strath.ac.uk. -- Shuzo Sakata, Ph.D. Senior Lecturer in Circuit Neurophysiology Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde 161 Cathedral Street, Glasgow G4 0RE, UK tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562 email: shuzo.sakata(a)strath.ac.uk The University of Strathclyde is a charitable body, registered in Scotland, number SC015263

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Post-doctoral Fellow in Human Intracranial Physiology at NIH
by Zaghloul, Kareem (NIH/NINDS) [E] Dec. 5, 2016

Dec. 5, 2016

Hi, I would like to post following ad for a post-doctoral fellow on the comp-neuro list serv. Thank you, Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 A full-time post-doctoral position focused on understanding the neural correlates of human cognitive function is available in the Surgical Neurology Branch of the National Institute of Neurological Disorders and Stroke at the NIH. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and electro corticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human memory and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov> NIH, an agency of DHHS, is an equal opportunity employer.

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Postdoctoral Fellowship in Theoretical/Computational Neuroscience
by Paul Miller Dec. 2, 2016

Dec. 2, 2016

Brandeis University invited applications for a postdoctoral fellowship in theoretical/computational neuroscience. The successful applicant will be expected to work on a project related to the current research interests of faculty associated with the Sloan-Swartz Center for Theoretical Neuroscience at Brandeis (see http://www.bio.brandeis.edu/sloan/ and http://www.bio.brandeis.edu/faculty/list_programNeuro.html) Example research areas include: Decision making; Short-term memory; Robustness and stability of small circuits; Cellular mechanisms of homeostasis; Attractor-state computing; Plasticity and development of cortical circuits. Candidates should have a Ph. D. in one of the Physical Sciences or Neuroscience, a demonstrated ability in scientific computation, a solid foundation in calculus and differential equations, and a strong interest in neuroscience. Prior training and experience in neuroscience is desirable, though we accept those candidates new to the field who are willing to commit to the intense and extensive training available here. Brandeis has a small, but strong neuroscience program (4 National Academy members) with significant expertise in systems neuroscience. Brandeis is located in Eastern Massachusetts, about 8 miles from Boston/Cambridge. All interested candidates should send a C.V., with the name and contact details of three or more references, and a paragraph indicating their career plans and research interests, by email to: pmiller(a)brandeis.edu. Please include in the subject line the phrase "Postdoc Application".

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Postdoctoral Positions available in Computational and Cognitive Neuroscience
by Jonathan Nicholas Dec. 1, 2016

Dec. 1, 2016

Postdoctoral Fellowship in Computational Modeling of Brain Networks The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for postdoctoral fellowships in brain network modeling and analysis. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state fMRI, DTI, functional and structural brain connectivity analysis, and network modeling. This is an exciting opportunity to work on NIH- and NSF-funded projects using computational, network modeling and multimodal (fMRI, DTI, EEG) brain imaging techniques. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and computational facilities. Strong programming skills and previous experience with DTI analysis are desirable. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Postdoctoral Fellowship in Developmental Cognitive Neuroscience The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for postdoctoral fellowships in developmental cognitive neuroscience. We seek candidates with strong research backgrounds in one or more of the following areas: typical and atypical neurocognitive development, learning disabilities (dyscalculia and dyslexia), autism, numerical cognition, cognitive training, and brain network development. This is an exciting opportunity to work on NIH-funded projects using behavioral, computational, and multimodal (fMRI, MRI, DTI) brain imaging techniques. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging facilities and computational resources. Candidates must have a PhD and relevant research experience in cognitive neuroscience, cognitive science, psychology or related fields. Strong expertise in fMRI data analysis and computational skills are highly desirable. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Teresa Iuculano at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford+postdoc@gmail.com>.

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Postdoctoral Position in Machine Learning and Neuromodulation
by Babak Mahmoudi Dec. 1, 2016

Dec. 1, 2016

A Postdoctoral position is available at Emory University School of Medicine on developing novel neuromodulation therapies for epilepsy and memory. The research and training is focused on developing Big Data analytic tools and machine learning algorithms for the optimization of neuromodulation therapies. The successful candidate will collaborate with scientists and clinicians in the Departments of Biomedical Informatics, Neurosurgery, Neurology and Biomedical Engineering at Emory University and Georgia Tech, Grenoble University at France, and medical device industry partners. The ideal candidate will have a PhD in Computer Science, Biomedical Engineering, Computational Neuroscience or related fields with a strong background in machine learning, optimization theory, multivariate analysis and signal processing. Programming skill sets in Matlab and other languages (e.g., C++ and python) would be key to a successful candidate. Inquiries should be addressed to Babak Mahmoudi (b.mahmoudi(a)emory.edu) The position begins in January 1st but the start date is negotiable. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Please send applications including a CV, statement of research interests, and the names and full contact details of three references to b.mahmoudi(a)emory.edu

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Researcher position at ATR Brain Labs (Kyoto, Japan)
by Haruo HOSOYA Dec. 1, 2016

Dec. 1, 2016

Dear all, ATR Brain Labs in Kyoto, Japan has two open positions in computational visual neuroscience. I would appreciate if you forward the following message to anyone who might be interested. Best regards, Haruo Hosoya, Senior Researcher Department of Dynamic Brain Imaging ATR Brain Labs, Cognitive Mechanisms Laboratories Open researcher positions at ATR Brain Labs., Kyoto, Japan ============================================ Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers in computational visual neuroscience. Our institute has a long tradition in computational neuroscience and has recently been promoting theoretical studies of hierarchical vision models based on statistical learning theory (a.k.a. deep learning), with the emphasis on the bidirectional (feedforward and feedback) computation in the visual cortex. We seek for autonomous and motivated applicants who are interested in working on this research theme in collaboration with our research group. Haruo Hosoya, Ph.D. Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan 2016, December Project outline --------------------- It is well known that, in the visual cortex, a number of visual areas form a hierarchy with low-level to high-level feature representations, and perform bidirectional interactions through the feedforward and feedback circuitry. Such bidirectional computation has conventionally been considered to play roles in visual perception, imagery, information completion, selective attention, etc. However, our research group is considering that bidirectional computation may be far more essential in the visual system than previously thought. For example, we have recently released a theoretical model that proposes a potential role of bidirectional computation in visual representations of objects and facts in the higher visual cortex (http://dx.doi.org/10.1101/086637) We will continue to pursue other roles of the bidirectionality in various visual functions of the brain through developing new computational models based on learning theory and evaluating their visual processing capability, performance, and explainability of neuroscientific data. Furthermore, we are also interested in building a larger-scale hierarchical visual model that integrates various computational models developed in our group as well as pursuing its applicability in realistic problems. More on the project can be seen here: http://www.cns.atr.jp/~hosoya/project_outline.pdf. What's ATR? ------------------ ATR is a private company specialized to basic science founded in 1986. It is renowned for its long and unique tradition of computational neuroscience since the foundation, emphasizing the importance of mathematical understanding of computation in the brain for the technological innovation. Research in ATR is highly international and involves a number of scientists from all over the world for collaboration. The institute is located in Keihanna scientific city surrounded by the second largest city of Japan, Osaka, and two beautiful old capitals of Japan, Kyoto and Nara. Requirements for Researchers ----------------------------------------- Applicants must have a Ph.D. or be expected to get one before starting the job. The applicants are required to show expertise in a mathematical area, as well as strong interest in neuroscience and good programming experience. In particular, expertise in machine learning will be considered important. Additional knowledge in computation vision and computational neuroscience will also be welcome. Number of openings --------------------------- Two Employment conditions -------------------------------- Position : Full-time Researcher Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Application materials ---------------------------- Please submit the following five materials to the contact address below, either in a printed or in an electronic form: • 1 CV • 2 List of publications • 3 Reprints of 1-3 major publications of past projects • 4 Essay (up to two pages in A4 or letter size) describing summary of your previous research, interest in our project, and other skills and experiences potentially useful for research. • 5 Recommendation letters from two or more researchers * If submitted in printed form, original documents will not be returned. Judging system --------------------- After documentary examination, we ask for presentation and interview if needed. Starting date -------------------- Soon (negotiable) Deadline for application --------------------------------- Opens until positions are filled. Contact ----------- Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-tvn at atr.jp at=@ Use of personal data ---------------------------- All personal data received will be properly managed and only be used for the purpose of recruitment.

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Engineer/Post-doc in Computational Neuroscience
by Irene Yujnovsky Nov. 30, 2016

Nov. 30, 2016

*Engineer/Post-doc in Computational Neuroscience*** *Institute of System Neuroscience (INS**), UMR1106 AMU-Inserm, Marseille, FRANCE*** ** An engineer/post-doctoral position**is open in the Theoretical Neuroscience Group (TNG) <http://ins.univ-amu.fr/research-teams/theoretical-neurosciences-group/>directed by Viktor JIRSA at the Institute of System Neuroscience (INS) for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient epilepsy models using The Virtual Brain platform as framework (see http://www.thevirtualbrain.org) *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the group and with clinicians. They should have a degree in computational neuroscience, engineering or equivalent level of knowledge. A strong background in computational neuroscience (networks, dynamic system theory) and/or data fitting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environmentsand possess excellent programming skills. Experience using The Virtual Brain platform and development of clinical databases would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by December 31^st 2016 to: *Dr. Irene Yujnovsky* at irene.yujnovsky(a)univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can be found at: http://bit.ly/29kub1k -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.yujnovsky(a)univ-amu.fr Website: http://epinext.org/

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Postdoctoral Position: Modeling of aging cortical networks
by Christina M. Weaver Nov. 30, 2016

Nov. 30, 2016

Postdoctoral Position: Modeling of aging cortical networks A postdoctoral research fellowship in computational neuroscience is available to work with Christina Weaver (Dept. of Mathematics, Franklin & Marshall College, Lancaster, PA). The postdoctoral fellow will be a vital member of the interdisciplinary research team led jointly by Dr. Weaver, Dr. Jennifer Luebke (Dept of Anatomy & Physiology, Boston University School of Medicine, Boston MA), and Dr. Patrick Hof (Dept. of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY). The research will explore structural and functional abnormalities of cortical neurons in middle-aged rhesus monkeys, and the extent to which intervention with a powerful antioxidant affects age-related dysfunction. The new postdoctoral fellow will build computational models of small cortical networks, constrained by our recent computational results and empirical studies in the Luebke and Hof laboratories. Our joint publications include: Amatrudo et al., J. Neurosci.(2012), PMID 23035077; Luebke et al., Cerebral Cortex (2015), PMID 24323499 and Rumbell et al., J. Comput. Neuro. (2016), PMID 27106692. The postdoc will travel occasionally to Boston and/or New York City as part of this collaboration. The postdoc will also have funds to support conference travel, professional development, and full access to campus services including F&M's Faculty Center. Applicants should have a strong background or interest in computational neuroscience and have a keen interest in interdisciplinary approaches that integrate modeling, imaging, and physiological experiments in neuroscience research. Initial appointment for this position is for one year, and may be extended contingent upon funding. Review of applications will begin immediately and will continue until the position is filled. Requirements: - PhD or equivalent in computational neuroscience, applied mathematics, or a related field from an accredited institution is required. - Excellent written and verbal communication skills are required. - Experience with differential equations-based mathematical models or automated parameter optimization is required. - Experience with conductance-based modeling of single neurons, or small networks, and/or NEURON compartmental modeling software is preferred. An extended job posting and link to apply is available at https://fandm.interviewexchange.com/jobofferdetails.jsp?JOBID=79194

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