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Doctoral studies in Computational/Theoretical Neuroscience at NYU

by Eero Simoncelli

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] • André A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. • Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. • Roozbeh Kiani - Vision and decision-making. • Wei Ji Ma (also in Psychology) - Perception, working memory, and decision making. • Tony Movshon - Vision and visual development. • Bijan Pesaran - Neuronal dynamics and decision making. • Alex Reyes - Functional interactions of neurons in a network. • John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. • Robert Shapley - Visual physiology and perception. • Eero Simoncelli - Computational vision and audition. • Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neurosci…] • Gyorgy Buzsaki - Rhythms in neural networks. • Dmitry Rinberg - Sensory information processing in the behaving animal. • Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://www.psych.nyu.edu/programs/cp/] • Todd Gureckis - Memory, learning, and decision processes. • David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. • Michael Landy - Computational approaches to vision. • Laurence Maloney - Mathematical approaches to psychology and neuroscience. • Gary Marcus - Origins of the human mind. • Denis Pelli - Visual object recognition. • Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 18 December ) [http://math.nyu.edu/degree/phd/] • David Cai - Nonlinear stochastic behavior in physical and biological systems. • David McLaughlin - Nonlinear wave equations, computational visual neuroscience. • Aaditya Rangan - computational neurobiology, numerical analysis. • Charles Peskin - Mathematical biology. • Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. • Daniel Tranchina - Information processing in the retina. • Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/web/Research/Areas/graphicsvisionui.html] • Davi Geiger - Computational vision and learning. • Yann LeCun - machine learning, hierarchical visual processing, robotics. Economics (deadline: 18 December) [http://econ.as.nyu.edu/page/phd] • Andrew Caplin - Economic theory, neurobiology of decision. • Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

Oct. 14, 2015

1st CfP: CMN'16, Seventh International Workshop on Computational Models of Narrative (7 March 2016 / 11-13 July 2016)

by Ben Miller

* ---FIRST CALL FOR PAPERS--- Seventh International Workshop on Computational Models of Narrative (CMN'16) Advancing the Science of Narrative Special Focus: Computational Narrative and the Humanities a satellite workshop of: Digital Humanities 2016 (DH2016) 11-13 July 2016 Kraków, Poland http://narrative.csail.mit.edu/cmn16/ ---IMPORTANT DATES--- 7 March 2016. Submission deadline. 11 April 2016. Notification of acceptance. 16 May 2016. Final Camera Ready Versions Due. 11-13 July 2016. CMN’16. 11-16 July 2016. DH2016. ---WORKSHOP AIMS--- The workshop series, Computational Models of Narrative (CMN) is dedicated to advancing the computationally-grounded scientific study of narrative. Now in its seventh iteration, the workshop has a tradition of crossing academic borders and bringing together researchers from different disciplines on a common object of study. Narrative provides a model for organizing and communicating experience, knowledge, and culture. Investigations of narrative operations in textual, aural, and visual media have been systematically pursued in the humanities since before the early structural linguistics and folklorist inspired work of the Russian Formalists, and in the computing sciences since before the early cognitive science inspired work on scripts and frames. Research continues on computational approaches across the humanities and sciences. In order to appreciate the various domains and approaches connected to the computationally enabled study of narratives and narrative theory, it is becoming increasingly clear that research in this area requires engagement from many communities of interest. Peer-reviewed full proceedings from CMN’13, ‘14, and ‘15 are each available in the OpenAccess Series in Informatics (OASIcs) published by Schloss Dagstuhl; peer-reviewed proceedings from CMN’11 and CMN’12 were published by AAAI and LREC, respectively. ---SPECIAL FOCUS: COMPUTATIONAL NARRATIVE AND THE HUMANITIES--- This inter-disciplinary workshop will be an appropriate venue for papers addressing fundamental topics and questions regarding narrative. Papers should be relevant to the computational modeling, and scientific or humanistic understanding of narrative. The workshop will have a special focus on how the computational modeling, analysis, or generation of narrative has affected approaches in the humanities for studying and generating narrative in or across textual, aural, or visual media. Possible themes could connect to the representation of narrative, connections between cognition and narrative or knowledge representation and narrative, the use of heuristics to handle complexity, incorporation of insights about human thinking, the use of narrative to organize information in the humanities, the relationship between top-down and bottom-up approaches for narrative understanding, or how narrative is seen to function differently depending upon the medium. Regardless of its topic, reported work should provide insight of use to the scientific understanding or computational modeling of narratives. Discussing technological applications or motivations is not prohibited, but is not required. We accept both finished research and more tentative exploratory work. We invite and encourage submissions either as full papers or position papers, through the workshop's EasyChair website:https://easychair.org/conferences/?conf=cmn16 We also invite you to submit an abstract soon so that we can gauge the number of submissions we can expect. (Submitting an abstract is possible without submitting the full paper at the same time.) Full papers should contain original research and have to fit within 16 pages; position papers can report on work-in-progress, research plans or projects and have to fit within four pages plus one page of references. Illustrative Topics and Questions - How can computational narratives be studied from a humanities point of view? - Are generative models of narrative texts, movies or video games possible, desirable, and useful? - What comprises the set of possible narrative arcs? Is there such a set? How many possible story lines are there? - Is narrative structure universal, or are there systematic differences in narratives from different cultures? - How are narratives affected by the media used to convey them? - What aspects of cross-linguistic work has narrative research neglected? - What opportunities are there for narrative analysis across languages? - What makes narrative different from a list of events or facts? - How do conceptions and models of spatiality or temporality influence narrative and narrative theory? - What are the details of the relationship between narrative and language, image, or sound? - How is narrative knowledge captured and represented? - How are narratives indexed and retrieved? Is there a universal scheme for encoding episodic information? - What shared resources are required for the computational study of narrative? What should a “Story Bank” contain? - What shared resources and tools are available, or how can already-extant resources be adapted to the study of narrative? - What are appropriate formal or computational representations for narrative? - How should we evaluate computational and formal models of narrative? - Can narrative be subsumed by current models of higher-level cognition, or does it require new approaches? - How do narratives mediate our cognitive experiences, or affect our cognitive abilities? - How can narrative systems be applied to problem-solving? - How far are we from a theory of narrative adaptation across media? ---ORGANIZING COMMITTEE--- - Antonio Lieto (University of Turin, Italy) - Ben Miller (Georgia State University, USA) - Rémi Ronfard (Inria, LJK, University of Grenoble, France) - Stephen Ware (University of New Orleans, USA) - Mark A. Finlayson (Florida International University, USA) ---PROGRAM COMMITTEE--- David Elson, Columbia University & Google Floris Bex, Utrecht University Rossana Damiano, University of Turin Kerstin Dautenhahn, University of Hertfordshire Pablo Gervás, Complutense University of Madrid Andrew Gordon, ICT Livia Polanyi, LDM Associates Marie-Laure Ryan, University of Colorado Boulder Tim Tangherlini, UCLA Mariet Theune, University of Twente Atif Waraich, Manchester Metropolitan University Mehul Bhatt, University of Bremen Emmett Tomai, University of Texas-Pan American Neil Cohn, UCSD Inderjeet Mani, Yahoo Labs Loizos Michael, Open University of Cyprus Chris Meister, Hamburg University Fritz Breithaupt, Indiana University Benedikt Löwe, Universität Hamburg *

Oct. 14, 2015

Funded PhD Positions Available

by Steven Bressler

PHD POSITIONS IN COMPLEX SYSTEMS & BRAIN SCIENCES CENTER FOR COMPLEX SYSTEMS & BRAIN SCIENCES FLORIDA ATLANTIC UNIVERSITY Applications are currently being accepted for funded PhD training in Complex Systems & Brain Sciences. The aim of this 5-year graduate program is to train scientists to perform cutting-edge brain research that combines computational modeling, laboratory biology, and medical imaging. Students learn how this combination can yield powerful insights into the operation of the human brain as a complex dynamical system. Individuals with undergraduate degrees in any pertinent discipline are invited to apply. The program offers multi-year stipends and tuition remission. Our students learn to fully participate in multi-disciplinary approaches to brain research. Past graduates have pursued careers at academic institutions such as Harvard, Brown, Emory, NYU, the Salk Institute, and the Neurosciences Institute, at private industry companies such as IBM and Mathworks, and at research institutions such as NIH, US Air Force, NASA, and NRL. Research opportunities are available using behavioral, computational, and neuroscientific methods. Research projects will focus on approaches to understanding the brain as a complex system, with possible concentrations in areas such as computational neuroscience, cognitive neuroscience, systems neuroscience, neurorobotics, molecular neurobiology, cellular physiology, and neuronal regeneration. A new 3T scanner and multi-channel EEG recording systems will be available for neuroimaging research. Opportunities also exist for research collaborations with the new Marcus Neuroscience Institute at Boca Raton Regional Hospital (BRRH). Desirable qualifications include: * training in neuroscience * training in cognitive science * training in complexity, network science, or graph theory * quantitative training in physics, mathematics, computer science, or related fields * programming experience (Matlab, C/C++, python, R) * English speaking and writing skills FACULTY Elan Barenholtz: Psychophysical and computational approaches to visual and multisensory perception and recognition. Janet Blanks: Gene therapy, retinal degeneration, neuroprotection in the retina, mammalian retinal development and differentiation. Steven Bressler: Cognitive neurodynamics: cognitive dynamics in large-scale cortical networks. Armin Fuchs: Analysis of large scale brain activity patterns and combining noninvasive recording technologies, i.e. EEG, MEG and functional MRI. Howard Hock: Mechanisms for detection of motion information serving different perceptual functions; role of global-to-local feedback in formation of global motion patterns; computational models for motion detection and perception of bistable motion; motion mechanisms spared by cortical brain damage; motion percepts diagnostic for perceptual grouping of object surfaces. Sang Hong: Color vision, motion processing, visual awareness, facial expression perception, and multi-sensory integration using psychophysical, eye-tracking, and fMRI methodologies. Scott Kelso: Mechanisms of self-organization underlying the coordination of brain and behavior. Howard Prentice: Ischemic adaptations, neurodegenerative disease, brain anoxia, mitochondrial dysfunction and aging processes. Wen Shen: Electrophysiology of channels and receptors, transporters in neurodevelopment and adult system, signal transduction in retinal circuits. Summer Sheremata: Visual short-term memory and attention. Robert Stackman: Neurobiology of learning and memory, spatial navigation, brain representations of space, mouse models of Alzheimer's disease. Emmanuelle Tognoli: EEG coordination dynamics of human behavior: large-scale integration within and between brains. Robert Vertes: Neurophysiology/neuroanatomy. Functional organization of the brainstem and its role in controlling activity of the forebrain. Jang Wu: Neurotransmitters and neurological disorders. Qualified students are encouraged to apply to the program by following the instructions at the Center for Complex Systems & Brain Sciences web site ( http://www.ccs.fau.edu/) Applications should be submitted by February 15, 2016. The Center for Complex Systems & Brain Sciences at Florida Atlantic University is located in Boca Raton, situated between West Palm Beach and Fort Lauderdale, with easy access to the rich cultural life of the Miami-Dade metropolitan area. Steven L Bressler, PhD Interim Director and Professor Center for Complex Systems & Brain Sciences Florida Atlantic University

Oct. 14, 2015

INCF at SfN: community tool demos in our both #2114

by Malin Sandström

Dear all, This year in Chicago, you are very welcome to come and visit INCF in *booth #2114*, located in the funders row. Are you working on an interesting project, or looking for new collaborators? Come by and talk to us, and bring a colleague! Our booth has a comfortable sofa perfect for short spontaneous meetings. As usual, we host *demos of community tools* in our booth, Sunday through Tuesday. Interested in model discovery with *SenseLab* and *NeuroElectro*, or in the latest developments of *OpenWorm*? Do you want to get started on collaborative model development with *Open Source Brain?* Meet them and many others in our booth on Oct 18-20 (full schedule below). On *Sunday October 18*, you can meet us at: * the SfN-sponsored *neuroinformatics social* (room N229, 18:45-20:45), with presentations by Tom Insel and Sean Hill, chaired by David Kennedy from NITRC and with representation from NIF and INCF. * or get an introduction to the *Neurodata Without Borders *data format at the Fairmont Chicago (Ambassador room, 18:30-->). And on *Tuesday October 20*, we will of course be at the SfN-sponsored computational neuroscience social (Room N139, 18:45-20:45). More details on our SfN webpage https://incf.org/community/sfn2015 or in our special edition SfN Newsletter http://eepurl.com/bClxYf See you in Chicago! Best regards, Malin Sandström on behalf of the INCF Secretariat TOOL DEMOS OCTOBER 18-20 IN BOOTH 2114 ------------------------------------------------------------------- *Sunday* 9:30-11:15 Sharing neuroimaging results with NIDM 11:15-13:00 NIX: Versatile file format for consistent data organization and sharing 13:30-15:15 J-Node live demos 15:15-17:00 NeuroVault.org: A web-based repository for collecting and sharing unthresholded statistical maps of the human brain *Monday* 9:30-11:15 The CARMEN Portal. What it is, what has been learned 11:15-13:00 CENTER-TBI data capture and analysis platform 13:30-15:15 Microcircuit cell types, connectomics, and model discovery usingSenseLab andNeuroElectro 15:15-17:00 OpenWorm: An open science approach to computational neuroscience *Tuesday* 9:30-11:15 TimeLapseReg: An ImageJ plugin for drift correction of video sequences in time lapse microscopy 11:15-13:00 Collaborative model development on Open Source Brain 13:30-15:15 Research Resource ID's and annotating the web 15:15-17:00 KnowledgeSpace demo -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

Oct. 14, 2015

Visit the Bernstein Network at booth #2033 at SfN 2015 for your next career step in Computational Neuroscience

by Mareike Kardinal

Dear all, what´s your next career step? *The Bernstein Network Computational Neuroscience will exhibit at the SfN Meeting 2015*. Please find us at the "Neuroscience in Germany" booth #2033. * *The booth will present: * research fields * study and training programs * open positions * research and funding opportunities *We are looking forward to welcoming you at booth #2033!* Best regards, Mareike Kardinal -- Dr. Mareike Kardinal Bernstein Network Computational Neuroscience Press & Public Relations Officer, Bernstein Coordination Site (BCOS) Albert Ludwigs University Freiburg Hansastr. 9A 79104 Freiburg, Germany phone: +49-761-203-9593 mareike.kardinal(a)bcos.uni-freiburg.de www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany

Oct. 14, 2015

[SfN] Computational Neuroscience Social at SfN on Tuesday, October 20

by viola

Dear Colleagues, We write to call your attention to the upcoming computational neuroscience social at the SfN in Chicago next week. ** Join us for an evening with elegant models, great spirits, networking theories, and billions of action potentials! Reunite with old friends, make new ones, mingle with top researchers and special guests, and learn about upcoming CompNeuro events. Everyone is welcome! Special Guests John Beggs, Surya Ganguli, Maria Geffen, Julijana Gjorgjieva, Mark Goldman, Gabrielle Gutierrez, Andreea Lazar, Wolfgang Maass, Eve Marder, Cian O’Donnell, Armen Stepanyants, Jonathan Victor and Fred Wolf We are pleased to announce a special honoring of Yuan Liu and Dennis Glanzman, who have been supportive of the computational neuroscience community and meetings for many years. ** Please feel welcome to advertise your summer schools, conferences, tool boxes, journals, associations, or jobs in the field of computational neuroscience in the form of flyers or posters (sugg. max A3, for jobs max A4, poster boards provided), and/or have a representative available for informal discussion. Location: McCormick Place, Room N139 Time: Tuesday, October 20, 6:45-8:45 PM ** Hope to see you in Chicago! Timothy O’Leary Viola Priesemann --- Dr. Timothy O’Leary Volen Center for Complex Systems Brandeis University http://blogs.brandeis.edu/marderlab/members/dr-timothy-oleary/ Dr. Viola Priesemann Max Planck Institute for Dynamics and Self-Organization Göttingen, Germany http://www.nld.ds.mpg.de/people/priesemann

Oct. 13, 2015

[jobs] 3 PhD positions in neural language robotics

by Stefan Wermter

The Knowledge Technology Research Group at the University of Hamburg invites applications for three Early Stage Researchers (ESR) within the Marie Sklodowska-Curie European Training Network "SECURE" - Safety Enables Cooperation in Uncertain Robotic Environments. Research area: The general area is knowledge technology, intelligent systems and artificial intelligence, in particular neural networks and natural language processing for safe cognitive robots. There are three research positions (3 PhD studentships called Early Stage Researcher positions - ESR) which will be filled in the context of cognitive robots (Darwin-OP/Nao/Nicu/iCub or related). The ESR focus on the following topics: ESR A: A neuro-probabilistic robot interaction model for learning and inferring safe actions ESR B: A self-organising neural model for prosodic recognition and threat sound localisation ESR C: A deep neural learning model to identify dangerous situations through spoken language The positions commence on 1.1.2016 or as soon as the position can be filled. The term is fixed to three years. They are remunerated at the salary level in accordance with the regulations for the Early Stage Researcher (ESR) in EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN) (http://ec.europa.eu/research/participants/portal/doc/call/h2020/common/1617…) and are fulltime positions (39h/week). Tasks: Duties include academic services in the project named above. Research associates can also pursue research and further academic qualifications. Requirements: A university degree in a relevant subject. In particular, at least an MSc or equivalent in Artificial Intelligence, Computer Science or Engineering with a focus on Intelligent Computing is required. Excellent programming skills (Python, C++ etc.) are needed and a background in at least one of neural networks/natural language processing/robotics would be needed for these positions. The posts involve traveling within Europe. Each PhD student will be expected to spend secondments at other European partner sites. According to EU mobility rules, the ESR researchers must not have resided or carried out their main activity (work, studies, etc.) in Germany for longer than 12 months in the 3 years immediately prior to their recruitment. Early-Stage Researchers are defined as those who are, at the time of selection, in the first four years (full-time equivalent) of their research careers. 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 Hamburgs Higher Education Act (HmbHG). Severely disabled applicants will receive preference over equally qualified non-disabled applicants. Additional Info on the European Training Network SECURE: SECURE is a new Marie Sklodowska-Curie European Training Network (ETN) with the primary aim to train a new generation of researchers on safe cognitive robot concepts for human work and living spaces on the most advanced humanoid robot platforms available in Europe. The Early-Stage Research (ESR) fellows will be trained for a PhD through an innovative concept of project-based learning and constructivist learning in supervised peer networks where they will gain experience from an intersectoral programme involving universities, research institutes, large and SME companies from public and private sectors. The training domain will integrate multidisciplinary concepts from the fields of cognitive human-robot interaction, computer science and intelligent robotics where a new approach of integrating principles of embodiment, situation and interaction will be pursued to address future challenges for safe human-robot environments. In case of questions, please contact Prof. Dr. Stefan Wermter, Head of Knowledge Technology or consult our website at https://www.informatik.uni-hamburg.de/wtm/. Applications should include an application letter, full curriculum vitae, best publication if applicable, copies of degree certificate(s) and transcripts. The application deadline is 1.11.2015. Please email applications in a single pdf file to: Ms Katja Koesters, katja.koesters(a)informatik.uni-hamburg.de *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science, WTM, Building F University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

Oct. 13, 2015

Four faculty positions in applied statistics and stochastics

by Robert Rosenbaum

The Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame is seeking applications for four faculty positions, three in applied statistics and one in applied stochastics. Ideally, two of the statistics positions will be at the post-tenure level (associate or full professor) and the remainder will be tenure track (assistant professor). The department is highly supportive of collaborative research and encourages applications from computational neuroscientists. Feel free to contact me (Robert.Rosenbaum(a)nd.edu) with general questions about the department, etc. Applicants for the post-tenure job are invited to contact the chair, Andrew Sommese (sommese(a)nd.edu) The department will begin reviewing applications on Nov 1, so please apply soon if interested. For more information and to apply, see here for statistics: http://apply.interfolio.com/30595 and here for stochastics: http://apply.interfolio.com/30609 — Robert Rosenbaum Assistant Professor Department of Applied and Computational Mathematics and Statistics University of Notre Dame

Oct. 13, 2015

Postdoc position in Computational Brain Modelling at Ulster University UK

by McDaid, Liam

Applications are invited for the post of Research Associate (RA) in Computational Brain Modelling (Ref: 1503308) based at the Intelligent Systems Research Center, Ulster University, UK. The RA post is for a 3½ year duration and is part of a collaborative project funded by the EPSRC: our partners are the Department of Electronics, University of York. The RA post holder will be part of a team that aims to develop a brain-inspired self-repairing algorithm and subsequently map this self-repairing algorithm to robotic hardware at the University of York. At Ulster we have previously shown that astrocyte cells interact with neurons to detect when a fault has occurred in the connections making up a network of neurons and how this interaction can oversee a repair strategy in the paper "On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks" (http://tinyurl.com/qbsusnn) The RA post will focus on the development of a computational model that captures the interactions between neurons and astrocytes, and hence the repair process, and will interact with other team members to translate the self-repair strategy to hardware computing systems and robot controllers based at the University of York. The RA post is fixed-term based at Ulster University and is active from November 2015 until March 2019. The closing date for applications is the 11th November 2015. Further information in relation to the post can be found on the following link: http://tinyurl.com/ocm8pvf or you can contact Prof. Liam McDaid at lj.mcdaid(a)ulster.ac.uk<mailto:lj.mcdaid@ulster.ac.uk> We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> Hard copy applications can be obtained by telephoning +4428 7012 4072 ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Oct. 13, 2015

Postdoctoral position in cognitive auditory neuroscience at Imperial College London

by Tobias Reichenbach

Applications are invited for a Research Associate (Postdoc) to work on an exciting project in auditory cognitive neuroscience at Imperial College London. The successful candidate will join the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach) The project involves collaboration with clinical collaborators at Imperial College, and is further embedded in the Centre for Neurotechnology at Imperial College (http://www3.imperial.ac.uk/neurotechnology) The project's goal is to develop experimental paradigms and associated data analytics to extract electrophysiological correlates from the brainstem and the cortex in response to speech. Electrophysiological responses will be obtained from auditory-brainstem recordings (ABR) and from electroencephalography (EEG). The developed methods will then be employed to compare differences in neural responses to speech in healthy people and in people with different cognitive impairments. Applicants should have a PhD in physical sciences, engineering, neuroscience or computing with experience in signal processing as well as neuroimaging. For an informal discussion please contact Dr Tobias Reichenbach (email: reichenbach(a)imperial.ac.uk <mailto:a.kedgley@imperial.ac.uk>; telephone: +44 (0)20 759 46370). Our preferred method of application is online via the Imperial College website at www.imperial.ac.uk/employment where you will find a job description and person specification for this post. Please select "Job Search", then enter the job title or vacancy reference number EN20150333FH into "Keywords". Complete and upload an application form as directed. Should you have any queries please contact Allan Nyunt at a.nyunt(a)imperial.ac.uk <mailto:a.nyunt@imperial.ac.uk> ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

Oct. 12, 2015