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CFP: 10th IEEE International Conference on Development and Learning (ICDL)

by nagai.yukie＠mail.u-tokyo.ac.jp

CALL FOR PAPERS: 10th IEEE International Conference on Development and Learning (ICDL) 7th-10th September 2020, Valparaiso, Chile Web page: https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Submission deadline: 15th March 2020 Author notification: 15th May 2020 Camera ready due: 1st July 2020 Conference: 7th-10th September 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Cristóbal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

Sept. 6, 2019

Open rank faculty position in Psychology at American University with a specialization in human neuroscience

by Laurie Bayet

Dear colleagues, Please see the following link for an Open rank faculty position in Psychology at American University with a specialization in human neuroscience: http://apply.interfolio.com/67455. To ensure full consideration, application materials should be received by October 31, 2019. Please contact Catherine Stoodley, Search Committee Chair, at stoodley(a)american.edu with any questions or inquiries. All the best, Laurie Bayet -- Laurie Bayet, PhD Assistant Professor of Psychology, American University (202) 885-1719

Sept. 5, 2019

Fwd: Postdoctoral position in Computational Neuroscience of Social Decision-Making

by Kagan, Igor

A postdoctoral position is immediately available in the Social Neuroscience Team, an innovative collaborative project between groups of Fred Wolf (Bernstein Centre for Computational Neuroscience and Campus Institute Dynamics of Biological Networks) and Alex Gail, Igor Kagan and Stefan Treue (Cognitive Neuroscience Laboratory, German Primate Center, http://www.dpz.eu/cnl) in Goettingen, Germany. The focus of the research is on theoretical foundations, computational modeling and analysis of behavioral and neurophysiological signals underlying social decision-making in humans and nonhuman primates (e.g. https://www.biorxiv.org/content/10.1101/314500v4) The scientist will collaborate closely with the experimentalists, who work on elucidating the neural basis supporting primate interactions in dynamic sensorimotor settings. Further scientific exhange within the Leibniz ScienceCampus Primate Cognition (https://www.primate-cognition.eu) will ensure a broad interdisciplinary framework for networking and cooperation. Candidates with a Ph.D. in Computational Neuroscience, Physics, Mathematics, Data Science or Engineering, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges, are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in cognitive sciences or neuroscience, and a background in relevant modeling and analysis of behavioral or neurophysiological data are a plus. Please send applications (letter of interest, CV and the names and contact information of two referees), or request for additional information, to compneuro-postdoc(a)dpz.eu -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany http://www.dpz.eu/dag

Sept. 5, 2019

Big models and big data workshop at SFN 2019

by Carnevale, Nicholas

*NSG and HPAC – Large Scale Simulations and Data Processing* **** **A workshop on big models and big data in neuroscience, Saturday, Oct. 19, 2019 from 8:30 AM to 12:30 PM at a downtown Chicago location. *Summary* This workshop is intended for neuroscientists who need to use high performance computing (HPC) resources for computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. It will examine resources offered by the Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) and The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/) The workshop will combine hands-on instruction on how to use NSG, didactic presentations by NSG and HPAC developers, and discussions with experienced users of these resources. The registration deadline for this workshop is Friday, October 10, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for more information and a link to the registration form. *Overview of NSG and HPAC* NSG eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, The Brain Modeling Toolkit (BMTK), Brian, CARLsim, DynaSim, EEGLAB, Freesurfer, Human Neocortical Neurosolver (HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, NEST, NetPyNE, NEURON, Octave, PGENESIS, PyNN, Python, R, TensorFlow, and the Virtual Personalized Multimodal Connection Pipeline. NSG's web-based interface simplifies the tasks of uploading models or data, specifying job parameters, monitoring job status, and storing and retrieving output data. HPAC provides extensive HPC support for the HBP community. This includes developing and providing the hardware and software infrastructure required for large scale simulations, data management and analysis, visualization, and managing the complex workflows involved in performing these tasks.

Sept. 5, 2019

Postdoc on modeling the action potential of a swimming neuron

by Romain Brette

A postdoc position is available in the group of Romain Brette in the Vision Institute, Paris, France, in collaboration with Alexis Prevost and Laetitia Pontani from Laboratoire Jean Perrin, to work on the development of a model of the action potential of Paramecium, a “swimming neuron”. More details here: http://romainbrette.fr/postdoc-offer-modeling-the-action-potential-of-a-swi… Paramecium is a large unicellular eukaryote organism which swims in fresh water using its cilia. When it hits an obstacle, mechanosensitive channels open, depolarize the membrane and trigger a calcium-based action potential. In turn, the action potential triggers a reversal of the swimming direction, followed by a change of direction. This is called the “avoiding reaction”, and it is the basis of most Paramecium behavior. The goal of the global project is to develop an integrative model of Paramecium, that includes: sensory transduction, excitability and motility. In other words, a model of the behaving Paramecium in an environment. The specific project for this postdoc is to develop a Hodgkin-Huxley type model of the action potential of Paramecium, together with a phenomenological model of electro-motor coupling, that is, the relation between membrane potential and cilia beating. Technically, the work will involve performing appropriate electrophysiological measurements and then developing and fitting models. The funding is for 12 months (possibly more depending on grant results). Although this may seem short, the project is already well advanced, as we have developed simple reliable ways to do electrophysiological recordings on Paramecium and already collected a number of recordings. Prior experience in electrophysiological recording is not a requirement as it can be learned. Be aware, however, that the work does involve a fair amount of experimental work (but on a model organism that is simple to handle). Conversely, we are also welcoming applications from electrophysiologists with little experience in modeling. To apply, please send a CV and emails of two references to romain.brette(a)inserm.fr <mailto:romain.brette@inserm.fr>. Do not hesitate to ask for more information. Applications will be considered until the position is filled.

Sept. 4, 2019

postdoctoral positions in the Rinberg lab at NYU Neuroscience Insititute

by Dmitry Rinberg

The Rinberg lab at NYU Neuroscience Institute (www.rinberglab.com) is seeking to fill multiple postdoctoral positions at the interface of computational systems neuroscience and advanced neurotechnology. We study how olfactory information is represented and processed in neural activity patterns, and how the brain extracts information relevant for behavior. <>We are using wide-field and two-photon imaging, multiunit electrophysiology and behavioral experiments, in combination with theoretical approaches, to study how odors are represented at different stages of neural processing. To understand how spatiotemporal neural codes are read by the brain and evoke behavior, we are developing optogenetic pattern stimulation techniques, including 2P holography. Most of the projects are deeply rooted in theoretical approaches and statistical modeling. In addition, as an applied direction, we are developing bio-electronic nose, a universal, versatile, and sensitive chemical detector based on the mouse olfactory system. The lab has established strong collaborative links with multiple leading labs in theory, statistical methods, technology development, and genetics. <>This is an excellent opportunity for computationally and technologically inclined candidates to find their niche in-between developing cutting edge technologies and applying the technologies to fundamental scientific questions. An ideal candidate should have a background in neuroscience, physics/engineering and math. Knowledge and experience in optics, imaging, multi-neuron physiology and computational methods are a big plus. Interested applicants should send a cover letter, CV to be e-mailed to rinberg(a)nyu.edu

Sept. 3, 2019

OPEN FACULTY POSITIONS (Computational neuroscience), RIKEN Center for Brain Science

by Taro Toyoizumi

The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society’s ever-growing expectations for brain research. We are seeking outstanding computational neuroscientists for Team Leader positions (equivalent to U.S. Assistant or Associate Professors). Exceptional applications from internationally established neuroscientists may be considered for indefinite-term Team Leader positions (equivalent to U.S. Full Professors). If candidates have the potential to be outstanding computational researchers, they will be hired as independent Unit Leaders (equivalent to U.S. Assistant Professors), provided that you have a doctoral degree by the date of employment, even if you are still enrolled in a postgraduate doctoral program. Researchers who wish to convert their expertise from other fields (e.g. physics, mathematics, engineering, information science) to computational brain science are also eligible to apply. We will comprehensively evaluate the applicant's scientific achievements and research proposals, etc., and will hire any candidates who match the aims of CBS (please see CBS web page：https://cbs.riken.jp/en/). Since CBS also promotes experimental research, research proposals are expected to aim for collaborative projects in the near future. This is our second round of faculty recruitment at CBS, which follows the successful recruitment of several outstanding candidates as Team Leaders from Japan and abroad in the first round in 2018. [For details, see our home page： https://cbs.riken.jp/en/careers/20190902_w19120_pi_c.html ] Calls for Team Leader positions in other major topics at CBS are currently open to the public (please see https://cbs.riken.jp/career-general/) At RIKEN CBS, research leaders (team and unit leaders) have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader positions must have demonstrated the ability to develop an original, independent and internationally competitive research program. Applications should be submitted by the end of November 2019. Applicants should specify Team leader or Unit Leader positions, should submit the electronic files of a cover letter with a brief summary of their research program and plan, curriculum vitae, list of research achievements and publications, list of acquired research funding, current research and achievements to date, future research plans, reprints of five major publications maximum, and the names and contact details (e-mail address) of three referees, through the application form. If possible, one of the three referees should be the current supervisor, and the letters should be signed and addressed to Dr. Hiroshi Matsumoto, President of RIKEN. All files and recommendation letters should be written in English. RIKEN CBS is located just outside of the international metropolis of Tokyo. English is the primary language used in activities at CBS, including seminars and administration. Institutional support is available to help non-Japanese speaking scientists, whom we particularly encourage to apply. RIKEN Center for Brain Science is an Equal Opportunity Employer. Women are strongly encouraged to apply. For further inquiries please contact the RIKEN CBS Search Committee. Email: cbs-search(a)ml.riken.jp Search Committee, RIKEN Center for Brain Science 2-1 Hirosawa, Wako, Saitama 351-0198, Japan Fax: +81-48-462-4914, *Applications are not accepted from this e-mail address.

Sept. 3, 2019

PhD opportunities in Computational Neuroscience at Bristol University

by Conor Houghton

The Department of Computer Science in Bristol University is hoping to recruit to a number of EPSRC-funded PhD studentships for a January 2020 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group here with strong collaborative links to local groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting project to offer in the areas of synaptic plasticity, neural data analysis, neural coding, reinforcement learning, neurolinguistics, cortical circuit and credit assignment. https://bristolcnu.github.io/research/ Bristol is a great place to live and work and so we urge you to apply or to recommend this opportunity to suitable student. Anyone interested should contact one of us to discuss potential project and their application; there are notes on the application process below; the application would need to be submitted by 1 October 2020. All the best Conor, Cian, Rui and Laurence ___________ Unfortunately these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) either home students, or EC nationals who have lived in the UK for three years prior to starting the PhD; if the three years have been spent in higher education, then they have to have been resident in the EEA or Switzerland immediately before this. Students should contact one of us before applying. The selection itself goes through a two step process, students are first accepted as PhD students and are then considered for funding. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and selecting "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by 1 October.

Sept. 2, 2019

Postdoc positions on Consciousness Research at University of Padova

by Naotsugu Tsuchiya

Hi, Could you post the following advertisement? Thanks Nao N° 1 Postdoc position in Psychology/Cognitive and Affective Neuroscience available at the University of Padova, Department of Developmental and Social Psychology and Padova Neuroscience Center The CoLab (Area: Social and Affective Neuroscience, PI: Paola Sessa, see here) invites applications for a two-year postdoctoral researcher position funded by the Padova Neuroscience Center (http://pnc.unipd.it <https://l.facebook.com/l.php?u=http%3A%2F%2Fpnc.unipd.it%2F%3Ffbclid%3DIwAR…>), to begin in January 2020. We are seeking for an enthusiastic and highly motivated postdoctoral researcher to join the group led by Dr. Sessa who is embarking on a new line of research in collaboration with Dr. Nao Tsuchiya (Monash University) and Dr. Samir Suweis (University of Padova) on the relationship between network connectivity and conscious processing of others’ emotions, with an additional focus on alexithymic traits. The postdoctoral researcher will be responsible for conducting research with a high density EEG system (256 channels) within this new line of research. Qualifications/Requirements: Qualified applicants must have a PhD (or be in the process of completing their PhD) in neuroscience (affective or cognitive), psychology, bioengineering or related disciplines. They must have a solid expertise in conducting EEG studies and a publication record of research papers that includes neuroimaging studies. The ideal candidate should also have strong technical skills, including competence in task implementation, pre-processing, and analysis of EEG data (involving functional connectivity and graph analysis). Experience working with sub-clinical/clinical populations (individuals with alexithymia or alexithymic traits) is preferred but not a prerequisite. Starting date, duration and salary: This is a two-year position and expected to start in January 2020; 24.400 euros/gross per year. In this phase please directly contact Dr. Sessa (paola.sessa(a)unipd.it) with a statement of interest (maximum: 1 page), a CV, and 1 or 2 letters of reference by October 31st.

Sept. 1, 2019

Postdoc in neural modeling / optic flow at RPI

by Fajen, Brett

Please post on comp-neuro list… POSTDOCTORAL RESEARCH ASSOCIATE OPTIC FLOW-BASED CONTROL IN HUMANS AND AERIAL ROBOTS Cognitive Science Department Rensselaer Polytechnic Institute A post-doctoral position is available in the Perception and Action (PandA) Lab at Rensselaer Polytechnic Institute to study optic flow-based control. This is an ONR-funded project aimed at developing computational and mathematical models of visual perception and control in humans that can be adapted for use on board small aerial robots. The successful candidate will be expected to develop computational models, conduct psychophysical experiments, assist with robotic implementation, and present research at conferences and in journal articles. This is a one-year position with an anticipated start date in Fall 2019. The position could be extended beyond one year depending on performance and availability of funding. General information about the PandA Lab can be found at http://panda.cogsci.rpi.edu. The lab is situated within the Cognitive Science Department at Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180. Founded in 1824, Rensselaer Polytechnic Institute in Troy, NY is the nation’s oldest technological university, serving over 7,600 undergraduate and graduate students from 49 states and 63 countries. Guided by the Rensselaer Plan 2024, Rensselaer seeks to transform the delivery of pedagogical innovations, and to be a transformative agent in the 21st century and beyond. Minimum qualifications Candidates for the position must have a Ph.D. in Psychology, Cognitive Science, Neuroscience, Computer Science, or a closely related field. All degree requirements must be completed by the time the appointment starts. In addition, candidates must have research experience in visual perception, a strong quantitative background, and excellent programming skills. Application information Applicants should submit a cover letter including a brief statement of research interests and accomplishments, current CV, and contact information for three references using the following link: https://rpijobs.rpi.edu/postings/8264. Review of applications will begin immediately and will continue until the position is filled. Questions about the position should be directed to Brett Fajen at fajenb[at]rpi.edu. We welcome candidates who will bring diverse intellectual, geographical, gender and ethnic perspectives to Rensselaer’s work and campus communities. Rensselaer Polytechnic Institute is an Affirmative Action/Equal Opportunity, Race/Gender/Veterans/Disability Employer.

Aug. 31, 2019

Post-doc position opportunity at Italian Institute of Technology

by Gabriella Panuccio

All, There is an open opportunity for a post-doc position in my lab at IIT. We are looking for an in vitro electrophysiologist with expertise in epilepsy models and brain slices for biohybrid experiments. The position is open within the context of the EU-funded FET Proactive project HERMES - Hybrid Enhanced Regenerative Medicine Systems (www.hermes-fet.eu<http://www.hermes-fet.eu/>). You may find the description and instructions to apply here: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=1900000Q Deadline for application is September 15th. You may contact me directly for any informal inquiry. Please circulate this email to those you think might be interested. Thank you! Gabriella ________________________________ Gabriella Panuccio, MD, PhD Enhanced Regenerative Medicine Dept. Neuroscience and Brain Technologies Istituto Italiano di Tecnologia Via Morego, 30 16163 Genova - Italy email: gabriella.panuccio(a)iit.it<mailto:gabriella.panuccio@iit.it> office: +39 010 28 96 ext 493 mobile: +39 333 491 32 31 website url: www.hermes-fet.eu<about:blank> Twitter: @GabryPanu<https://twitter.com/GabryPanu> // @HERMES_FET<https://twitter.com/HERMES_FET>

Aug. 30, 2019

Assistant Professor position available in Cognitive Sciences at the University of California, Irvine

by Jeff Krichmar

Dear Colleagues, The Department of Cognitive Sciences at the University of California, Irvine (UCI) invites applications for an assistant professor (tenure-track) position with an expected start date of July 1, 2020. We are seeking scientists who study learning, memory, decision making, and related topics with behavioral, developmental, computational, artificial intelligence, or neuroimaging methods. Of particular interest are cognitive scientists who combine an empirical research program with innovative quantitative analysis or computational modeling. The successful candidates will interact with a dynamic and growing community in cognitive, computational, and neural sciences within the department (http://www.cogsci.uci.edu/) and the broader campus. Interested candidates can find specific application requirements and the online application at: https://recruit.ap.uci.edu/JPF05668. To ensure full consideration, applications must be completed by December 1, 2019. 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. As a recipient of an NSF ADVANCE award for gender equity, UCI understands the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education. As a Minority Serving Institution, UCI seeks future faculty who will contribute to our enduring commitment to inclusive excellence and serve as role models. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

Aug. 29, 2019

Tenure Track Faculty Positions in Biomathematics

by Cheng Ly

Assistant Professor of Mathematics Position: Two faculty positions (9-month) as Assistant Professors of Mathematics to join the vibrant biomathematics group in the Department of Mathematics and Applied Mathematics at Virginia Commonwealth University beginning August 16, 2020. The Department and University web pages may be found at http://www.math.vcu.edu and http://www.vcu.edu. The Ph.D. program web page may be found at http://www.sysm.vcu.edu. Responsibilities of Position: Maintain a vigorous research program and a record of excellent teaching at both the undergraduate and graduate levels. Qualifications: A Ph.D. in Mathematics, or related field, is required at the time of the appointment. We are seeking candidates with a clearly defined research agenda and expertise in biomathematics research with an emphasis in one or more of the following fields: stochastic, computational, or multi-scale modeling, complex networks and/or systems, uncertainty quantification, and parameter identification. Preference will also be given to candidates with postdoctoral experience, and a demonstrated potential to secure external funding. Applicants must have a record of successful teaching, as well as experience with working in and fostering a diverse faculty, staff, and student environment, or the commitment to do so. The Department: The mission of the Department of Mathematics and Applied Mathematics is to offer a strong undergraduate and graduate education, with an increasing focus on the development of cross-disciplinary efforts that will prepare our students for real-world applications and stimulating employment and career opportunities. Key current objectives of the department include the continued development of our Ph.D. program, which emphasizes applications of mathematics to the medical and biological sciences and research in both applied mathematics and theoretical discrete mathematics, the improvement of student outcomes in our lower level courses, the continued strengthening of our department's track in secondary education preparation and mathematics education outreach initiatives. We seek ambitious faculty members to help grow and strengthen the department by expanding teaching, research, and grant activity. How to Apply for the Position: To apply, candidates should submit electronically (https://www.vcujobs.com/postings/92989) the following: a cover letter that delineates how they meet the qualifications outlined above, a current curriculum vitae, contact information for each of the four references. In addition, candidates need to submit electronically ( https://www.mathjobs.org/ <https://www.mathjobs.org/jobs/jobs/14339>) the following: a cover letter, an AMS Standard Cover Sheet, a current curriculum vitae, and detailed statements about teaching and their current research activities. Applicants also should include four letters of recommendation. One of the letters of recommendation must address the applicant's effectiveness as a teacher. Letters should be submitted electronically through www.mathjobs.org <https://www.mathjobs.org/jobs/jobs/14339>. Applicants must be eligible to work in the U.S.A. The deadline for applications is October 25, 2019. "Virginia Commonwealth University is an equal opportunity. Affirmative Action University providing access to education and employment without regard to age, race, color, national origin, gender, religion, sexual orientation, veterans status, political affiliation or disability." Cheng Ly https://www.people.vcu.edu/~cly Associate Professor Department of Statistical Sciences and Operations Research Virginia Commonwealth University P.O. Box 843083 Richmond, Virginia 23284-3083

Aug. 29, 2019

LASCON 2020 - VIII Latin American School on Computational Neuroscience (Call for applications)

by Antonio Roque

**** Apologies for cross-posting **** VIII Latin American School on Computational Neuroscience - LASCON 2020 January 6-31, 2020, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon LASCON Video <https://www.youtube.com/watch?v=10FDmMw2IbM> APPLICATION DEADLINE: October 5, 2019 Dear Colleagues, Following the success of the previous editions of LASCON (Latin American School on Computational Neuroscience), I am pleased to announce the 8th LASCON, which will take place January 6-31, 2020 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: biophysically detailed single neuron models; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; spike train analysis; statistical methods in neuroscience; models of extracellular fields; modeling of brain stimulation; predictive coding; dynamics of neuronal functional connectivity; and computational psychiatry. These subjects will be illustrated with the use of programs NEURON, neuroConstruct, XPP-AUTO, Matlab, NEST, Brian and the Virtual Brain. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Antonio Galves,University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, Paris Descartes University, Paris, France Demian Battaglia, Aix-Marseille University, Marseille, France Eli Shlizerman, University of Washington, Seattle, WA, USA Emilio Kropf, Leloir Institute Foundation, Buenos Aires, Argentina Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Marcelo Reyes, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Mauricio Girardi-Schappo, University of Sao Paulo, Ribeirao Preto, SP, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Renan Shimoura, University of Sao Paulo, Ribeirao Preto, SP, Brazil Risto Ilmoniemi, Aalto University, Espoo, Finland Rodrigo Cofre, University of Valparaiso, Valparaiso, Chile Sacha van Albada, Juelich Research Center, Juelich, Germany Salvador Durá-Bernal, State University of New York, New York, NY, USA Volker Steuber, University of Hertfordshire, Hatfield, UK William Lytton, State University of New York, New York, NY, USA The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 5, 2019 (until midnight, US Pacific time). There is no registration fee for the school. Costs for accommodation will be covered by the school organization. Travel costs have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2020 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

Aug. 28, 2019

3 year Research Fellow in Bio-Inspired Artificial Intelligence and Robotics at the University of Sussex

by Thomas Nowotny

Dear all, Research Fellow in Bio-Inspired Artificial Intelligence and Robotics at the University of Sussex Are you a talented and ambitious computer scientist, computational neuroscientist or machine learner? Are you looking for an opportunity to use cutting edge technology to gain new understanding of how small-brained insects learn so rapidly and robustly, and in turn develop novel active AI algorithms that are inspired by these insights? We have an opportunity for a Research Fellow to join the Brains on Board<http://brainsonboard.co.uk/> team at the Department of Informatics at the University of Sussex to join a collaboration with the University of Sheffield and world-leading neuroscientists in Australia through the EPSRC-funded ActiveAI project: active learning and selective attention for rapid, robust and efficient AI. You will develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information. This will be achieved through extended visits to Australia, in which you will interact with biologists and shape novel insect experiments that in turn will inspire computational and robotic models and novel algorithms. In this way, we will both advance neuroscience and enable ActiveAI solutions which will be efficient in final network configuration, robust to real-world conditions and learn rapidly. This project includes significant scope for you to creatively shape and drive the project to your interests and to organise the timing and length of your visits to Australia. You will work under the supervision of Professors Andrew Philippides, Thomas Nowotny and Paul Graham at Sussex as well as the wider Brains on Board team and, together with a partner research fellow at Sheffield University, you will lead a new collaboration with world-leading Australian research partners through extended secondments. Closing date: midnight UK BST, 23 September 2019. For full details see: https://www.sussex.ac.uk/about/jobs/rf-artifical-intellience-robotics-2091 -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

Aug. 28, 2019

CFP NeurIPS2019 AI↔Neuro Workshop: Real Neurons & Hidden Units

by Jessica Thompson

Call for Papers: NeurIPS2019 Workshop Real Neurons & Hidden Units: Future directions at the intersection of neuroscience and artificial intelligence Workshop website: https://sites.google.com/mila.quebec/neuroaiworkshop <https://sites.google.com/mila.quebec/neuroaiworkshop/home> Submission deadline: September 6, 2019 Contact: neuroaiworkshop(a)gmail.com We invite contributions at the intersection of neuroscience and AI. In particular, we encourage work that identifies novel questions about the brain, which are informed by the recent successes of AI, and that establish key brain mechanisms that hold promise for further advancement of AI. Topical areas include but are not limited to: - study of recurrent dynamics, - inductive biases to guide learning, - global versus local learning rules, - interpretability of network activity, - connectivity structure. A strict requirement for admission is that the topic must be at the intersection of AI and Neuroscience, in that the work must leverage findings from one field to advance the other or address important questions common to both. Submissions must be within four pages. Accepted contributions will be invited to present posters. A select number will be also invited to present short talks. Invited speakers: Ila Fiete (Massachusetts Institute of Technology) Surya Ganguli (Stanford University) Tim Lillicrap (DeepMind/University College London) Doina Precup (McGill University/DeepMind) Blake Richards (McGill University) Cristina Savin (New York University) David Sussillo (Google Brain/Stanford University) Please see the workshop website <https://sites.google.com/mila.quebec/neuroaiworkshop/home> for further details. We look forward to receiving your submission! On behalf of the organizers, Guillaume Lajoie (UdeM/Mila) Eli Shlizerman (UW) Maximilian Puelma Touzel (UdeM/Mila) Konrad Kording (UPenn) Jessica Thompson (UdeM/Mila) and Advisors, Adrienne Fairhall (UW) Yoshua Bengio (UdeM/Mila)

Aug. 28, 2019

Academic Fellowship positions Computational Neuroscience, Nottingham

by Mark van Rossum

Academic Fellowship positions Computational Neuroscience, Nottingham (extended deadline) The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and Imaging. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for two independent fellowships. The positions are for 3 years, after which the fellows are expected to be competitive candidates for permanent positions at the University. The positions are ideal for researchers with some postdoctoral experience and a strong vision who are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. These positions were advertised earlier. After a number of requests for a later deadline, the application process is now briefly opened again until Sept 3rd. For the online application form see http://jobs.nottingham.ac.uk/SCI215819 Please include a research proposal in your application. For informal inquiries contact Mark van Rossum, mark.vanrossum(a)nottingham.ac.uk, +44-115-7486851 This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

Aug. 28, 2019

[Job][Postdoc]: 4yrs senior researcher position and Phd scholarship on Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)

by Dimitri Ognibene

** Apologies for cross-postings ** Dear Colleagues, I would be very grateful if you could forward this job advert to anybody who could be interested. The highlight is on machine learning for user interaction modelling. Here are some information for the positions. ** Application deadline 1st of September** To apply https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m… <https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m…> A PhD scholarship on the same topics is also out with deadline on the 30th of August Check <http://sites.google.com/site/dimitriognibenehomepage/jobs>http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/>jobs Kind regards, Dimitri *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project “COURAGE: A Social Media Companion Safeguarding and Educating Students”. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user beliefs dynamics modelling aspect and the process of analysing visual and textual content. More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art CV, NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://www.google.com/url?q=https%3A%2F%2Fwww.jobs.ac.uk%2Fjob%2FBSW396%2F…> For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 <https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0> Applicants are encouraged to contact Dr. Dimitri Ognibene <mailto:dimitri.ognibene@essex.ac.uk> (dimitri.ognibene(a)essex.ac.uk <mailto:dimitri.ognibene@essex.ac.uk>) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/> Skype: dimitri.ognibene

Aug. 27, 2019

post-doctoral position in computational neuroscience at Duke University

by Nicolas Brunel

A post-doctoral position is available in the group of Nicolas Brunel in the Department of Neurobiology at Duke University (Durham, NC, USA), to work on theoretical models of learning in the cerebellum. The position is funded by a Brain Initiative NIH grant to a collaboration between Steve Lisberger (Duke), Court Hull (Duke), Javier Medina (Baylor), and Nicolas Brunel, whose goal is to infer learning rules used by the cerebellum using electrophysiological and imaging data of multiple cell types recorded in different animals and different motor tasks. Applicants should have a strong background in computational neuroscience, physics and/or applied mathematics. Prior experience with computational neuroscience is a plus, but it is not required. Applications will be considered until the position is filled. The ideal starting date is before the end of 2019. To apply, send a letter with a CV to nicolas.brunel(a)duke.edu, and ask three people send letters of recommendation to the same address. For more information about the lab, see https://www.neuro.duke.edu/research/faculty-labs/brunel-lab For more information about the position, and a link to apply, see https://careers.duke.edu/job/Durham-POSTDOCTORAL-ASSOCIATE-NEUROBIOLOGY-NC-…

Aug. 27, 2019

Doreen Thomas Postdoctoral Fellowships for Women

by Uwe Aickelin

The Melbourne School of Engineering has introduced the Doreen Thomas Postdoctoral Fellowships to attract, or to retain, outstanding female doctoral graduates and provide a career pathway to a global Teaching and Research academic career at the University of Melbourne. We are currently looking for accomplished, enthusiastic, and interested early-career female doctoral graduates for multiple fellowships within the three schools of MSE: * Computing and Information Systems * Chemical and Biomedical Engineering * Electrical, Mechanical and Infrastructure Engineering More details can be found here: LinkedIn<https://www.linkedin.com/jobs/view/1441685438> Seek<https://www.seek.com.au/job/39782535?searchrequesttoken=9e11c449-42dd-4296-…> University of Melbourne Careers<http://jobs.unimelb.edu.au/caw/en/job/900626/doreen-thomas-postdoctoral-fel…> Applications close Sunday 13 October 2019. About Doreen Thomas “Professor Emeritus Doreen Thomas is a leading academic whose work has spanned the fields of mathematics and electrical and mechanical engineering. Her career at the University of Melbourne has lasted over 40 years and practical applications of her research have had significant commercial impact. Doreen is a powerful advocate for women in engineering and mathematics. She chairs the Science, Technology, Engineering and Mathematics (STEM) Education Forum at the Australian Academy of Technological Sciences and Engineering. While at the University of Melbourne’s School of Engineering, she helped create nine research fellowships to launch and accelerate the careers of female academics. In 2006, she was appointed the University of Melbourne’s first female professor in engineering. She was the first woman at the university to become head of each of the departments she led, and the first woman in Victoria to become head of two different university departments. Doreen’s long and distinguished career has been inspirational for other women in mathematics and science. She has made significant contributions to knowledge with real-world impact, promoted the next generation of women in STEM disciplines, and taught mathematics to generations of engineering students.” – Vic.gov.au Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

Aug. 26, 2019

Open Post-doctoral Position in Human Perceptual Neuroscience at NYU

by Persinger, Christine

Post-doctoral Fellowship in Human Perceptual Neuroscience at New York University The Perception and Brain Dynamics Laboratory (PI: Biyu J. He, Ph.D.) at New York University is currently recruiting for a post-doctoral fellow to conduct research to illuminate how prior knowledge shapes perception in the human brain. The planned research project involves a combination of cutting-edge human brain imaging technologies, including ultra-high-field (7 Tesla) fMRI and magnetoencephalography (MEG) in healthy subjects, electrocorticography (ECoG) in neurosurgical patients, along with psychophysics and neuropsychology. We are looking for a candidate with a passion for perceptual and cognitive neuroscience, independent critical thinking, strong analytical and quantitative skills, and good interpersonal skills. Experience with human brain imaging (such as fMRI, MEG, or ECoG) and excellent programming skills are highly desirable. Our laboratory is located on the medical campus of New York University in Manhattan, NY, and is affiliated with the Neuroscience Institute, Department of Neurology, and Department of Radiology. The position is expected to start in fall-winter of 2019, but early spring of 2020 is also possible. We provide competitive salary and benefits that adjust for cost of living in New York City. To apply, please send a CV, a cover letter, a statement of scientific and career goals, and names and contacts of three referees to Prof. Biyu Jade He (email: biyu.jade.he(a)gmail.com<mailto:biyu.jade.he@gmail.com>) with the subject line “post-doctoral application 2019”. We strongly encourage interested candidates to apply as soon as possible, but no later than Oct 15.

Aug. 23, 2019

[jobs] Neural Ego-Noise Reduction for Interactive Robots

by Stefan Wermter

The Faculty of Mathematics, Informatics and Natural Sciences / Department of Informatics invites applications for a RESEARCH ASSOCIATE Ego-Noise Reduction for Interactive Robots - SALARY LEVEL 13 TV-L - The position in accordance with Section 28 subsection 1 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) commences on the earliest possible date. This is a fixed term contract in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three years. The position calls for 75% of standard work hours per week. (Full-time positions currently comprise 39 hours per week.) Responsibilities: Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate’s own academic work. Specific Duties: The candidate will work in the Signal Processing and the Knowledge Technology groups and will do research on modern methods for single and multichannel speech enhancement for human-robot interfaces. The particular task is to take the specific ego-noise of an interactive robot into account, such as the sound of the motors and the cooling systems of specific robotic platforms. Teaching duties are expected to be 3 hours/week at the BSc Informatics level. Requirements: A university degree in a relevant field. Examples are Computer Science, Artificial Intelligence, Robotics or Electrical Engineering. We require the candidate to have excellent knowledge in signal processing and neural network learning as well as good programming skills in Python and neural network frameworks. Experience in speech processing is helpful. Fluent English, spoken and written, and good communications skills are mandatory. Knowledge of German is desired; we expect the willingness to learn German for non-native German speakers. The University aims to increase the number of women in research and teaching and explicitly encourages women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HmbGleiG). Qualified disabled candidates or applicants with equivalent status receive preference in the application process. For further information, please contact Stefan Wermter (stefan.wermter(a)informatik.uni-hamburg.de) or Timo Gerkmann (timo.gerkmann(a)uni-hamburg.de) or consult our website athttp://www.informatik.uni-hamburg.de/WTM/ orhttp://uhh.de/inf-sp. Applications should include a cover letter, a tabular curriculum vitae, and copies of degree certificate(s). Please send applications by 25.08.2019 to:sp-office@informatik.uni-hamburg.de in a single PDF document. Please start the subject of your Email with [Application Kooperationspromotion]. Please do not submit original documents as we are not able to return them. *********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

Aug. 22, 2019

PhD position - Inverse Reinforcement Learning

by Constantin Rothkopf

The Centre for Cognitive Science at Technische Universitaet Darmstadt, Germany invites applications for a Ph.D. Position in Inverse Reinforcement Learning initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of inverse reinforcement learning with the particular focus of elucidating human decision making and collective human decision making in the wild, i.e. under real world conditions. The research project is a joint venture between the Bioinspired Communication Lab and the Psychology of Information Processing Lab, both members of the Centre of Cognitive Science at TU Darmstadt. Accordingly, the student will be advised by Prof. Heinz Koeppl, Department of Electrical Engineering and Prof. Constantin Rothkopf, Institute of Psychology. Work will involve methodological research in machine learning, design of dedicated human behavioral experiments, and the analysis and further processing of gathered data. What we offer We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany’s leading universities in the domain of computer science and engineering. The student will be embedded in the ongoing research activities within the Centre for Cognitive Science and will hence have the opportunity to interact with many other cognitive science researchers. The conducted research is expected to culminate in a Ph.D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops. Your profile Candidates should have a M.Sc. degree in one of the following fields: computer science, physics, mathematics, engineering, or cognitive science. Candidates are required to have a sincere interest in interdisciplinary research at the crossroad of psychology and computer science. Application We look forward to receiving your application, consisting of a cover letter in which you lay out your interest in the indicated research area, curriculum vitae, copies of certificates and contact details of at least two academic references. Please send your application package as a single PDF file to application(a)bcs.tu-darmstadt.de. Code No. 487. The position is initially advertised till September 9th 2019, but later applications will be considered until the position is filled. -- Constantin A. Rothkopf, PhD http://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ http://www.ai-da.tu-darmstadt.de/

Aug. 21, 2019

Biomax offers PhD position within EU Horizon 2020 Marie Skłodowska-Curie Project TranSYS

by Markus Butz-Ostendorf

*Post-graduate position/fellow-ship at Biomax Informatics AG, Munich, Germany* TranSYS, is an European Training Network for post-graduate (PhD) studies which will recruit 15 Early Stage Researchers (ESRs) in the new area of Systems Health to develop tools and approaches to exploit large and complex datasets and advance Precision (Personalised) Medicine in several disease areas. One position (ESR 11) is available at Biomax in close collaboration with the Max-Planck Institute for Psychiatry in Munich for the identification of biological subtypes related to treatment resistant depression. Eligibility : TranSYS wishes to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Recruitment targets ESR backgrounds in 1) Lifesciences; 2) Engineering sciences and (3) Maths and Computational Modelling. We expect that applicants hold a university degree that qualifies them for doctoral studies at their recruiting organization. Applications at: https://lnkd.in/e-xuQkB Don't hesitate to contact me with further questions. Kind regards, Markus -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht München, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email: markus.butz-ostendorf(a)biomax.com Website: http://www.biomax.com PGP: https://ssl.biomax.de/pgp/

Aug. 21, 2019

Faculty positions at University of Miami

by Odelia Schwartz

The Department of Computer Science at University of Miami has openings for faculty positions in the broad areas of Artificial Intelligence and Data Science, including Computational Neuroscience and Computational Cognitive Science (see ad below). Odelia --------- Link for ad and application: https://umiami.wd1.myworkdayjobs.com/en-US/UMFaculty/job/Coral-Gables-FL/Fa… The University of Miami (UM) is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world. The Department of Computer Science at the University of Miami invites applications for various level Professor positions. Candidates must possess a PhD in Computer Science or a closely related discipline. These positions require teaching and research expertise in Artificial Intelligence/Data Science, including areas such as Data Extraction, Data Visualization, Machine Learning, Cognitive Intelligence, and Intelligent Actuators. Faculty are expected to teach at both the undergraduate and graduate levels, and to develop and maintain an internationally recognized research program. The department encourages innovative interdisciplinary work with other units in the university. Applicants should submit five PDF documents: 1. A cover letter, including the names and contact information for at least three references. 2. Curriculum vitae. 3. Research plan. 4. Teaching philosophy, with results of all teaching evaluations from the last two years. 5. Up to three representative papers (concatenated into a single PDF). Submissions must be made online at https://umiami.wd1.myworkdayjobs.com/UMFaculty. Review of applications will begin on 1st September 2019, and will continue until the positions are filled. Enquiries may be directed to search(a)cs.miami.edu. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

Aug. 21, 2019