Master Thesis - Towards measuring haemodynamic activity and electrophysiology at the patient bedside using simultaneous fNIRS/EEG

 Our group is working on a project on integrated fNIRS/EEG data acquisition in patients with psychiatric disorders. Psychiatry as research has shown that changes in brain networks occur at different levels during short and long term pharmaco- and psycho- therapeutic interventions. These different changes are important to capture and using fNIRS/EEG to capture these brain dynamics can pave the way to understanding psychiatric disorders at a much deeper level. To accomplish this, the proposed study involves a multidisciplinary approach to investigate the feasibility of transferring fMRI-derived outcomes to fNIRS/EEG in a simple resting-state measurement set-up. The outcome of this study will provide a valuable contribution for the optimization of the clinical care for psychiatric patient groups. Master’s students who are pro-active, capable of independent work and have interest in science and research are invited to apply. The project specific task includes:

  • fNIRS/EEG data collection along with technicians in the institute
  • fNIRS and EEG data analysis
  • Maintaining study specific documentations
  • Hands-on trainings required for the above tasks will be provided by the principle investigators of the project

Your Profile:

We look forward to master’s students from the fields of Engineering (Biomedical Engineering, Electrical and Computer Engineering), relevant Sciences (Computational Neuroscience, Medical Physics), or other study programs with specializations in Medical Imaging and/or Signal Processing. Considering the interdisciplinary knowledge and skills required for the position, students are expected to do an internship in the institute before commencing the master thesis.

Qualifications and skills required:

  • Basic programming skills (MATLAB or Python)
  • Basic knowledge in Statistics and Microsoft/open office



Additional skills (beneficial, not mandatory):

  • Technical and practical knowledge about neuroimaging techniques (fMRI, EEG, fNIRS) and / or signal processing methods / algorithms and multivariate data analysis
  • Experience with software packages such as FSL, SPM, EEGLAB
  • Since the position includes close interaction with psychiatric patients’ basic fluency in German language is expected

Our Offer:

We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with:

  • An interesting and socially relevant topic for your thesis with future-oriented themes
  • Ideal conditions for gaining practical experience alongside your studies
  • An interdisciplinary collaboration on projects in an international, committed and collegial team
  • The position will be placed in an international team where team meetings and scientific presentations are routinely held in English. Students are expected to send a report on the project and take part in the students’ meetings and social/ team building activities of INM-4 every month
  • Excellent technical equipment and the newest technology
  • Qualified support through your scientific colleagues
  • The chance to independently prepare and work on your tasks
  • Flexible working hours as well as a reasonable remuneration
  • The experiments will be performed primarily in Jülich, and the part of the project involving patients will be in performed at the University Hospital of the RWTH Aachen (distance Jülich-Aachen 35 km). Therefore, students will have access to offices both in Aachen and Jülich and hence will have the flexibility to decide where they would like to work


The position is for a fixed term, including the introductory phase and the time for writing the thesis (max. 12 months in total).

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

We look forward to receiving your application by 31.8.2022

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Vanderbilt University in United States invites application for vacant (44) Faculty Positions

Vanderbilt University in United States invites application for vacant (44) Faculty Positions