PhD Student position at the Dept. of Cognitive Neuroscience/Faculty of Psychology and Neuroscience/Maastricht University

PhD Student position at the Dept. of Cognitive Neuroscience/Faculty of Psychology and Neuroscience/Maastricht University

Published Deadline Location
2 Jun 5 Jul Maastricht

You cannot apply for this job anymore (deadline was 5 Jul 2020).

Browse the current job offers or choose an item in the top navigation above.

Do you want to be at the forefront of studying the neural origin of laminar fMRI signals? The Department of Cognitive Neuroscience at Maastricht university is looking for an enthusiastic PhD student to join a collaboration with New York University and the Center for Magnetic Resonance Research (Minneapolis, USA). Joining this expert team, you will work on high resolution fMRI data and their link to electrophysiological signals.

Job description

The position is part of an NIH Brain Initiative grant awarded to dr. F. De Martino and prof. Elia Formisano in collaboration with New York University (NYU - USA) and the Center for Magnetic Resonance Research in Minneapolis, Minnesota (USA). The student will be integrated in the research that takes place at the Department for Cognitive Neuroscience and the Maastricht Brain Imaging Center at Maastricht University, which has access to a new MR-lab with 3 Tesla, 7 Tesla and 9.4 Tesla human MRI systems (  

The overall research project aims at studying the neural underpinnings of laminar fMRI by validating a laminar neurovascular coupling model using laminar electrophysiological recordings (collected at NYU) and laminar fMRI. The student primary task will be the analysis of human laminar fMRI data collected using auditory paradigms. The primary responsibilities of the PhD student will be: 1) to actively participate in the experimental design, analysis (and acquisition) of 7 Tesla functional MRI data; 2) collaborate to the other parts of the research program and 3) writing and publishing of articles. 


Maastricht University (UM)


Candidates should have a (research) master degree in one of the following disciplines: 
(Cognitive) Neuroscience, (Biomedical) Engineering, Computer Science or Mathematics.

In addition to these requirements, candidates should preferably have a theoretical interest in the area of (auditory) perception and experience with scientific programming (Matlab, Python or any other language). Research experience (during the master thesis or research internships) in one or more of the following topics/techniques will be strongly valued: functional MRI acquisition/analysis, machine learning, multivariate pattern recognition. 

Conditions of employment

Fixed-term contract: 4 years.

  • 38 hours per week;
  • Remuneration will be according to standard salary levels for PhD candidates starting with a salary of €2.395,- with a yearly growth to €3.061,- gross a month, based on a full-time appointment (38 hours/week). An 8% holiday and an 8.3% year-end allowance is also provided;
  • We offer a 4 year full-time appointment as PhD candidate. The first year will be a probation period, after a positive assessment the position will be extended for another 3 years, which happens in the vast majority of cases;
  • We offer an attractive package of fringe benefits such as, reduction on collective health insurance, substantial leave arrangements, selection model for designing a personalised benefits package, use of UM Sport facilities against reduced rate, and application for attractive fiscal arrangements for employees from abroad;
  • We offer a rewarding career at a young university in the heart of Europe, with a distinct global perspective and a strong focus on innovative research and education;
  • We provide a stimulating, collaborative and interdisciplinary work environment with excellent opportunities for professional and personal development;
  • Maastricht University has an excellent international reputation, and Maastricht itself is a beautiful, open-minded city located in the center of Western Europe.
  • The appointment will be at the The Maastricht Brain Imaging Centre (M-BIC)

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website > Support > UM employees.


Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 18,000 students and 4,400 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience


Department of Cognitive Neuroscience

Maastricht Brain Imaging Centre
The Maastricht Brain Imaging Centre (M-BIC) is a research center founded by the Faculty of Psychology and Neuroscience of Maastricht University. It offers research facilities that were newly established within the Brains Unlimited project, including high (3 Tesla) and ultra-high (7 and 9.4 Tesla) magnetic fields MR scanners. The research core of M-BIC is formed by the Cognitive Neuroscience field, one of the four departments through which the Faculty of Psychology and Neuroscience conducts its research

Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, The Netherlands

Auditory perception and cognition group, Maastricht Brain Imaging Centre (MBIC).


  • PhD
  • Natural sciences; Engineering
  • max. 38 hours per week
  • €2395—€3061 per month
  • University graduate
  • AT2020.158


Maastricht University (UM)

Learn more about this employer


Oxfordlaan 55, 6229 EV, Maastricht

View on Google Maps

Interesting for you