PhD position on embodied cognition, Peter König lab

The Institute of Cognitive Science of Osnabrück University invites applications for a joint research project with the Department of Business Administration, Organization and Information Systems and the Center for Digital Learning, Campus Management and Higher Education Didactics. It addresses the individualization of studies by means of digital data-driven assistants and the utilization of external (open) educational resources (OER).

The position is to be filled as soon as possible for a period until April 30, 2022. Depending on the success of the project, employment may be extended by another 2.5 years.

Your responsibilities:

  • Development of hardware and software for the collection and analysis of self-regulatory processes, specifically recording EEG data of subjects in virtual or real world situations.

Required qualifications:

  • Applicants are expected to hold an academic degree (Diploma/Master) in either cognitive science, biology, psychology, neuroscience, computer science or equivalent

Desirable qualifications:

  • High, interdisciplinary communication and teamwork skills
  • Experience in interdisciplinary multisite project work
  • Experience in the analysis of physiological and behavioural data, e.g. recording of eye movements and EEG, as well as proficiency in modern machine learning methods

Osnabrück University has been certified as a family-friendly university committed to helping working/studying parents and carers balance their family and work life.

The university aspires to ensure equal opportunities for men and women and strives to work towards a gender balance in schools or departments where new appointments are made.

If equally qualified candidates apply, preference will be given to those with special needs.

Applications with the usual documentation should be submitted by e-mail in a single PDF file to office@ikw.uni-osnabrueck.de no later than March 27, 2019.

Further information may be obtained by email from Prof. Dr. Peter König (pkoenig@uni-osnabrueck.de).

[updated 22/3/2019]

PhD Positions at the EPFL, Switzerland

The Laboratory of Psychophysics at the EPFL in Lausanne, Switzerland, is
searching for two PhD students (or exceptional post-docs). The first
project is about spatio-temporal processing and requires a good
background in experimental design and mathematical modelling/EEG
recordings. The second project is about healthy aging and schizophrenia.
Excellent statistical and programming skills are required.

The PhD position is a 4 years appointment and the salary is
approximately 3500 CHF/month after taxes.

PhD students upload their materials on http://phd.epfl.ch/application.
Deadline: 15 April 2019
Post-docs send their materials to Michael Herzog <michael.herzog@epfl.ch>

[updated: 22/3/2019]

Doctoral and Master Program “Computational Neuroscience”at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany

Application deadline: *March 15, 2019*
PhD Scholarships also: *January 07, 2019*
Begin of courses: Sept/Oct 2019
Internet: https://www.bccn-berlin.de/graduate-programs-computational-neuroscience.html

_Master’s Program_

The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English.

The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master’s thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to
the neurocomputational research environment.

*Requirements* BSc or equivalent degree in a relevant subject (typically
in the natural sciences, in an engineering discipline, in cognitive
science, or in mathematics), certificate of English proficiency, proof
of sufficient mathematical knowledge (at least 24 ECTS credit points).

_Doctoral Program_

The Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin,
https://www.bccn-berlin.de/) invites applications for it’s PhD program.

The BCCN Berlin is a leading research center dedicated to the theoretical study of neural processing and the *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral
candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test.

The BCCN Berlin offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise.

Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background.

[updated: 27/2/2019]

Ph.D. and PostDoc positions in Technische Universitaet Berlin and Humboldt-Universitaet zu Berlin

Cross-disciplinary research in artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy.

Starting dates: Summer / Fall 2019
Duration of positions: 3 years
Salary level: TV-L 13, 100% for all positions

What are the principles of intelligence, shared by all forms of intelligence, no matter whether artificial or biological, whether robot, computer program, human, or animal? And how can we apply these principles to create intelligent technology? Answering these questions – in an ethically responsible way – is the central scientific objective of the new Cluster of Excellence Science of Intelligence (www.scioi.de).

Researchers from a large number of analytic and synthetic disciplines – artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy – join forces to create a multi-disciplinary research program across universities and research institutes in Berlin. Our approach is driven by the insight that any method, concept, and theory must demonstrate its merits by contributing to the intelligent behavior of a synthetic artifact, such as a robot or a computer program. These artifacts represent the shared “language” across disciplines, enabling the validation, combination, transfer, and extension of research results. Thus we expect to attain cohesion among disciplines, which currently produce their own theories and empirical findings about aspects of intelligence.

Interdisciplinary research projects have been defined which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence. In addition the Science of Intelligence graduate program promotes the cross-disciplinary education of young scientists on a Master, PhD, and postdoctoral level. All PhD students associated with the cluster are expected to join the Science of Intelligence doctoral program: www.scioi.de/education/doctoral-program

The cluster welcomes applications from all disciplines that contribute to intelligence research.

Information on the required documents and the application process (including deadline and timeline for reviews and interviews) may be obtained from: www.scioi.de/call-for-applications/application-process

Further information on the individual PhD and postdoctoral research projects is available at: www.scioi.de/call-for-applications/open-positions

Applicants wishing to apply for several projects need to provide separate applications for each project.


[updated: 27/2/2019]

SISSA Postgraduate Programme

SISSA is an elite postgraduate research institution, focused on Maths,
Physics and Neuroscience. It operates in English: many among its students
and faculty are not Italian. Campus above Trieste, overlooking the Gulf.
Research approaches in the CNS PhD https://phdcns.sissa.it/ span the range
from cognitive psychology and imaging in humans to behavioural neuroscience
and multiple single-unit recording in rats, mathematical and computational
modeling; with research groups led by Domenica Bueti, Davide Crepaldi,
Mathew Diamond, Chris Mathys, Raffaella Rumiati, Alessandro Treves and
Davide Zoccolan. Allied approaches are pursued in other SISSA PhDs.
All admitted students receive a 4-year fellowship and engage full-time in
research based in Trieste, with limited coursework in the first few months,
talks and seminars throughout the year and a TEX event in the summer.

First deadline for all candidates: 12.3.2019, for nonEU only: 28.2.2019

[updated: 27/2/2019]

Ph.D. fellowships in Cognitive Neuroscience at SISSA

The International School for Advanced Studies (SISSA) of Trieste (Italy) has PhD fellowships open in Cognitive Neuroscience. Two calls are currently open. One call welcomes applicants until February 28, 2019. This is a special selection procedure for Non-European candidates (Non-European refers to your passport, not your current location), based on academic qualifications only. The second call welcomes applicants until March 12, 2019 and it is open to all candidates (EU and not-EU alike). In this case, the selection will be based on academic qualifications, a written exam and oral exam.

Here is the PhD website and a quick video about SISSA.
To apply, follow this link: https://www.sissa.it/bandi/concorso-lammissione-ai-corsi-di-phd-della-sissa-lanno-accademico-201920-announcements

An overview:
The PhD in Cognitive Neuroscience at SISSA aims at providing students with the fundamental knowledge and skills for conducting cutting-edge research in the field, covering topics as diverse as perception, language, memory, inference, action, and social behaviour. Some of our research is also translational in nature (e.g., cognitive neuropsychology), thus offering opportunity for a career outside academia.
The School is strongly research oriented, reflected in our ability to attract highly competitive funding (there are five on-going ERC grants in Cognitive Neuroscience, several Human Frontier projects, and so on). We hold strong international research ties (e.g., NTNU, Harvard, Oxford); and publish in leading journals such as Current Biology, PNAS, Science and Nature.
The program has a strongly interdisciplinary approach: our research themes and expertise are suitable for students with backgrounds in computer science, math, medicine, experimental psychology, theoretical physics, biology and linguistics, as well as neuroscience proper, obviously. The official language at SISSA is English, so speaking Italian is NOT a requirement.
The workload is mostly focused on conducting a research project under the supervision of our faculty, and in collaboration with fellow students, post-docs and possibly external professionals, such as neurologists, biologists or rehabilitation experts. For first-year students, the School also offers courses on the foundations of cognitive neuroscience, both theoretical and methodological.
In addition to this frontal and hands-on learning, the School provides its students with a vibrant research environment, further fostering their growth. A journal club series takes place weekly; post-docs offer research talks every other week; a summer school is offered yearly, bringing to SISSA both a cohort of brilliant external students to interact with, and some of the most established scholars in the field; national and international visitors come regularly to SISSA offering both cutting-edge talks and opportunity for one-to-one or small group meetings.
Recent placements after PhD at SISSA include Harvard University and MIT (Cambridge, USA), Princeton University (Princeton, USA), Norwegian University for Science and Technology (Trondheim, Norway), Glasgow University (Glasgow, Scotland, UK), Manchester University (Manchester, UK), Université de Genève (Geneva, Switzerland), University of Southern California (Los Angeles, USA), Radboud University Nijmegen (Nijmegen, Netherlands), Sydney University (Sydney, Australia) and many more.

[updated: 27/2/2019]

Ph.D. Studentship at University of Glasgow

A fully-funded PhD studentship at the Centre for Cognitive Neuroimaging (CCNi) at the University of Glasgow is starting in the Fall of 2019. The PhD work will focus on comparing social and non-social decisions and the extent to which they share common computational principles and neural implementation, using simultaneous EEG-fMRI measurements and computational modelling.

They are looking for a highly motivated individual with a background in Cognitive Sciences, Neuroscience, Behavioural Economics or a related discipline. Strong interest in and familiarity with decision neuroscience, reinforcement learning and behavioural economics is an essential requirement along with excellent statistical and programming skills (preferably in Matlab and/or R). A good grounding in experimental research methods with experience in brain imaging (e.g. EEG, fMRI) would be considered a plus.

The PhD will be based at the CCNi, which brings together researchers with interests in cognitive neuroscience, functional neuroimaging, neuropsychology, computational modelling and advanced analysis methods development. The CCNi provides an exceptional environment for brain imaging research with dedicated support from world-leading radio physicists and frequency engineers. The centre houses state-of-the-art 3T and 7T Siemens MR scanners, a magneto-encephalography (MEG) system, several EEG and TMS systems (including MR-compatible devices), eye-movement recorders and 4D model capture, all designed for non-invasive multi-modal brain imaging.
Applications will be accepted until April 5th here: https://tinyurl.com/y6mmbv7u
Shortlisting will begin shortly thereafter and interviews will be held towards the end of April. Direct all informal enquires to Dr. Marios Philiastides (marios.philiastides@glasgow.ac.uk)

[updated: 27/2/2019]

Ph.D. Programme in Developmental and Brain Sciences in UMass Boston

The PhD program in Developmental and Brain Sciences at the University of Massachusetts Boston is focused on understanding cognition, perception, and behavior when underlying neural and hormonal mechanisms are developing. It is an intensive, developmentally-focused, research-based program using both human and animal models. Core faculty engage in research ranging from cognitive development and psychophysics to neuroendocrinology and behavioral genetics. Students may follow a Cognitive Neuroscience specialization investigating functional changes in perceptual and cognitive abilities or a Behavioral Neuroscience specialization investigating neural and hormonal correlates of behavior. All DBS students receive rigorous core training in methods (dry and wet lab skills, advanced statistical methods, computational tools like MATLAB) and work in labs using multiple levels of investigation including psychophysical and neuropsychological evaluation, functional brain imaging (NIRS, ERP), and neuropharmacological, molecular/cellular, and genetic/epigenetic methods. New lab spaces for the program are housed in the Integrated Sciences Building, part of our campus on the Columbia Point peninsula. This location is just a few miles south of downtown, neighbors metro Boston’s other world-class research Universities, and offers wonderful views of the city and Boston Harbor. Applicants will likely have a BS and significant research experience. We especially encourage members of underrepresented populations in neuroscience to apply.

For more information or to apply, please visit dbs.psych.umb.edu.

DBS Core Faculty:

[updated 17 December 2018]

Opening for Research at Dr. Mur’s Lab at Western University

Dr. Mur’s lab in the Department of Psychology at Western University has several openings for graduate students. Research in the lab focuses on visual cognition and revolves around the following questions. How do we recognise objects? What neural and computational mechanisms underlie this ability? How are incoming visual signals integrated with behavioural goals? We address these questions using psychophysics, functional magnetic resonance imaging (fMRI) and computational modeling. For more information about the lab, please see http://www.mariekemur.com.

The lab is accepting MSc/PhD students via the Psychology and Neuroscience Graduate Programs at Western. For more information about the programs, please see http://psychology.uwo.ca/graduate/index.html and https://www.schulich.uwo.ca/neuroscience/graduate/. Application deadlines for these programs are 4 and 18 Jan 2019, respectively.

Western University is currently expanding its strength in neuroscience with a $66M grant from the Canadian government (www.uwo.ca/brainscan). Successful candidates will join the Brain and Mind Institute (www.uwo.ca/bmi), one of the leading centres in cognitive neuroscience in Canada, with a full range of ultra-high field, research-dedicated MRI scanners (3T, 7T, 9.4T) and state-of-the-art laboratories for cognitive, behavioural, and neurophysiological testing in humans, nonhuman primates and rodents.

[updated 17 December 2018]

Ph.D. Scholarship at Durham University

The Durham University Department of Psychology has a number of opportunities to apply for fully-funded PhD studentships to start in October 2019. We are looking for students with a strong academic track record wishing to gain doctoral training in a vibrant research environment with state of the art facilities. For a list of potential supervisors in vision science, please see below. To develop a project idea, please get in touch directly with one or more potential supervisors.

Fully funded PhD studentships for 2019 entry are available via several schemes, including –

  • Durham Doctoral Studentships – open to International, UK and EU students
  • Departmental Studentships – open to UK and EU students

In addition, we put forward applications to

  • The ESRC NINE DTP doctoral training centre (includes 1+3 funding, Masters+PhD) – open to UK and EU students

All studentships include a stipend at the UKRC rate (currently £14,777), tuition fees, and support for research expenses. For more information, please see our website:
Funding information – https://www.dur.ac.uk/psychology/postgraduate/funding/
How to apply – https://www.dur.ac.uk/psychology/postgraduate/how_to_apply/

Closing dates for submission of applications via most schemes are January 16th 2019. Applications via the NINE DTP have the deadline January 18th 2019. Interviews (by Skype if need be) are expected to take place in the week commencing February 4th 2019. Please contact the Psychology Postgraduate Office (pginfo.psy@durham.ac.uk) or the director of Postgraduate Research (marko.nardini@durham.ac.uk) with any questions.

Potential supervisors in vision science include

[updated 17 December 2018]

Vision Research at SUNY College of Optometry

The Graduate Center for Vision Research at SUNY College of Optometry, located in mid-town Manhattan, is now accepting applications for the doctoral program in Vision Science for Fall 2019. Our full-time Ph.D. students receive tuition waivers and a stipend of $35,676 per year.

Vision science is a highly multidisciplinary field that encompasses basic, translational, and clinical research in areas of biology, chemistry, physics, applied mathematics, engineering, and molecular, cellular, cognitive, and behavioral neuroscience. The Graduate Program in Vision Science embraces this inherent diversity as the foundation for a robust program offering training that intersects these varied disciplines.

The Graduate Program in Vision Science provides comprehensive research training that positions our students to achieve career success and make significant contributions to the field. It combines a rigorous, intellectual program of study and research with an interactive, collegial sense of community.

In addition to the online application, applicants must submit original transcripts, their GRE test scores and three letters of recommendation.

Please use the links below for information about our doctoral program in Vision Science, including the current brochure, program and admission requirements, and our research faculty:

VISTA Scholarship Information

Who – Students applying to a Master’s or PhD vision research-related programme at York University

What – Research includes projects in computational or biological vision under the supervision of www.yorku.ca/vista/researchers

Why – It provides an additional top-up fund of $10,000 per year (Master’s 2 years and PhD 4 years)

Where – Information on how to apply can be found at www.yorku.ca/vista/opportunities

When – Deadline for Winter applications Jan 31st, 2019

Why VISTA and York University?

Vision: Science to Applications (VISTA) is a $33M research programme aimed at furthering vision research at York University. Funded by the Canada First Research Excellence Fund, VISTA has the largest group of interdisciplinary vision researchers in the world. For more information, please visit our website www.yorku.ca/vista.

[updated 17 December 2018]

Graduate program in Vision Science at University of California, Berkeley

This fully funded PhD program emphasizes the interdisciplinary nature of vision science research through broad exposure to the basic concepts and techniques used in specialized fields. Engaged in both laboratory-based and clinical research, our students are working with faculty advisers whose research matches their own interests. Current research topics include Biomedical Optics, Perception and Visual Cognition, Molecular and Cell Biology, Neuroscience, Computational Vision, Genetics, Immunology, Microbiology and Clinical Science.

Requirements: Due to the interdisciplinary nature of the program, we accept students with various backgrounds including psychology, optometry, engineering, computer science, physics, chemistry, biophysics, neuroscience, mathematics, molecular and cell biology and integrative biology. In addition to their transcripts, applicants need to submit their GRE test results and three letters of recommendation.

To apply: Submit your online application following the posted guidelines by January 7, 2019. The strongest applicants will be invited for an interview in March. If you have any additional questions about the Vision Science program or the application process, please email vision@berkeley.edu.

[updated 20 October 2018]

PhD Openings in Pizlo’s Lab

Computational Vision at Pizlo’s Lab

Prof. Pizlo’s Lab in the Department of Cognitive Sciences at UC Irvine has several openings for graduate students. Research in Pizlo’s lab focuses on 3D vision, with special emphasis on 3D shapes and scenes. The particular topics include monocular and binocular shape constancy, shape and scene recovery, the role of a priori constraints, as well as the role of symmetry as an invariant and as a source of redundancy. Studying vision combines behavioral experiments with computational modeling. The validity of the proposed theories is verified by comparing the performance of computational models with the performance of human subjects using the same real and realistic stimuli and tasks. See Pizlo’s web site for more details of his research program: https://www.socsci.uci.edu/~zpizlo/.

Prospective graduate students should send an email to zpizlo@uci.edu with their CV, description of research interests and names of three references.

Successful applicants will receive funding toward their Ph.D. for at least 5 years. For more information about the Cognitive Sciences graduate program, please see: http://www.cogsci.uci.edu/graduate/index.php

[updated on 8 October 2018]

Two PhD positions in computational and cognitive neuroscience

Two PhD positions are available in the Computational and Cognitive Neuroscience Lab of Alireza Soltani at Dartmouth College.

This NIH-funded project aims to uncover circuit-level mechanisms underlying adaptive learning. The project involves computational modeling at different levels (mean-field to spiking networks) as well as analyses of behavioral, electrophysiological, and calcium imaging data in rats during dynamic learning and decision-making tasks.
Applicants should have a strong quantitative background (e.g. physics, math, statistics, computational neuroscience, computer science, etc), good programming skills, genuine interest in understanding the brain, and a collaborative attitude. A background in neuroscience is desirable, but not essential.


Interested applicants should submit an inquiry to Alireza Soltani (soltani@dartmouth.edu), and submit their applications to Psychological and Brain Sciences Program at Dartmouth College.

[updated on 8 October 2018]

Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab

Professor Aaron Seitz in the Department of Psychology at UC Riverside has several openings for graduate students. Students can work in one or both of the Perception and Learning lab and the Brain Game Center. The Perception and Learning lab conducts basic research on perception, learning and memory using a variety of approaches including advanced Psychophysics, EEG, and fMRI, and computational methodologies. The UCR Brain Game Center is a unique research unit that focuses on translational psychology and neuroscience work where we exploit the potential of consumer technologies to conduct research at large scale. This involves running hundreds to many thousands of participants on research studies designed to develop better measurements of perceptual and cognitive abilities as well as new training tools for these skills. To date we have developed numerous approaches addressing vision, hearing, working memory, executive function, and fluid intelligence. In both labs we use computational modeling and machine learning as well as standard data analysis approaches.

For more information on research in the Seitz labs please see  http://faculty.ucr.edu/~aseitz/ and http://braingamecenter.ucr.edu.

Prospective graduate students should send an email to aseitz@ucr.edu with their CV, and description of research interests.

Successful applicants will receive funding toward their Ph.D. for at least 5 years. Please see the following websites for more information about the Psychology  (https://psych.ucr.edu) or Neuroscience (http://neuro.ucr.edu) graduate programs.

[updated on 8 October 2018]

PhD Scholarship in Contextual Modulation in Human Visual Processing at UNSW Sydney


The UNSW Scientia PhD scholarship scheme aims to attract new PhD scholars of exceptional quality to undertake projects in strategic research areas at UNSW. This scheme is particularly targeted at candidates with an honours degree in addition to relevant work and/or research experience in academia, government and/or industry.

UNSW Scientia PhD scholars are awarded $50k per year, comprising a tax-free living allowance of $40k per year for 4 years, and a support package of up to $10k per year to provide financial support for career development activities. The student will be encouraged to make use of these funds to present their research at national and international conferences, and extend their research network through visits to other research institutes and/or industry and government placements. All tuition fees are covered for the full 4 year period.

Supervisory Team: Prof Colin Clifford, Dr Damien Mannion, Prof Branka Spehar

Colin W G Clifford, PhD
Professor, School of Psychology
T: +61 (2) 9385 1050
F: +61 (2) 9385 3641
E: colin.clifford@unsw.edu.au
W: unsw.edu.au
CRICOS Provider Code 00098G
[updated on: 2 July 2018]

PhD scholarship in face identification at UNSW Sydney

Call for Expressions of Interest: UNSW Scientia PhD Scholarship
“Understanding super-recognition to improve face identification systems”
The UNSW Forensic Psychology Group invites Expressions of Interest for a unique PhD scholarship opportunity.
UNSW Scientia PhD scholars are awarded $50k per year, comprising a tax-free living allowance of $40k per year for 4 years, and a support package of up to $10k per year to provide financial support for career development activities.
The project is targeted at PhD candidates that are qualified to honours and/or masters level in psychology, computer science of cognitive science. We are particularly interested to hear from applicants with work experience in research, government or industry.
The topic of this thesis is open to negotiation, but we hope that the work can contribute to our broader goal of understanding how the best available human and machine solutions to face identification can be combined to produce optimal systems.
For more details and to apply see the following links:
Please direct informal inquiries to david.white@unsw.edu.au
[updated on: 13 June 2018]

PhD / Postdoctoral fellowship on depth perception using behavioural / neuroimaging (fMRI) measurements in human and non-human primate

Centre de Recherche Cerveau et Cognition, Toulouse, France

Starting date: September – December 2018

A PhD / postdoctoral (depending on the experiment of the applicant) research position is available to work with Benoit Cottereau in the ECO-3D team of the CerCo laboratory (Toulouse). The aim of the project is to investigate how 3D properties within natural scenes influence visual processing and depth perception in primate. The project will include behavioural (psychophysics) and neuroimaging (fMRI) recordings in both human and macaque (see Cottereau et al., Cerebral Cortex 2017 for an example of fMRI study in non-human primate) so as to determine the homologies but also the differences between the neural mechanisms involved in the two species.

The city of Toulouse is an attractive city with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean sea and the Spanish border).

The position is for 36 months for a PhD student and 18 months (with potential for a renewal) for a post-doctoral student with standard French salaries. The starting date should be between September 1st and the end of 2018. Applications should be sent to benoit.cottereau@cnrs.fr including a CV and 2 names of references.


– Cottereau, B. R., Smith, A. T., Rima, S., et al. (2017). Processing of egomotion-consistent optic flow in the rhesus macaque cortex. Cerebral Cortex, 27(1), 330-343.

[updated on: 18 May 2018]