October 2018 - Comp-neuro - lists.cnsorg.org

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