Senior Postdoctoral Researcher: Optically Pumped Magnetometry (OPM) for magnetoencephalography (MEG)
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Senior Postdoctoral Researcher: Optically Pumped Magnetometry (OPM) for magnetoencephalography (MEG)
100%, Zurich, fixed-term
The Translational Neuromodeling Unit (TNU) is a division of the Institute of Biomedical Engineering and a joint venture by the University of Zurich and the Swiss Federal Institute of Technology (ETH Zurich). Its mission is to translate advances in computational neuroscience into clinical practice. To this end, the TNU brings together neuroscientists, computational scientists, and clinicians who jointly develop computational models of brain function and evaluate their clinical use in patient studies.
The TNU operates a dedicated research clinic equipped with laboratories for encephalography (EEG) and various physiological/behavioural measurements. In addition, it has recently established a novel laboratory for magnetoencephalography (MEG) based on optically pumped magnetometers (OPM). This lab hosts a state-of-the art OPM-MEG system within a custom-made magnetically shielded room.
Job description
The position is initially funded for one year, with potential extension. The ideal starting date is 01 December 2025 but can be negotiated. We are looking for a researcher with a track record in OPM-MEG research and, ideally, previous postdoctoral experience. The scientific function role is intended to be at the ETH level of Oberassistent/in (Established Researcher).
The position is designed to conduct theoretical and experimental research in line with the TNU research agenda. In particular, the successful applicant is expected to focus on the development and validation of novel methods and experimental paradigms for OPM-MEG. For example, this includes developing new OPM-MEG methods concerning motion robustness, naturalistic paradigms, combination with VR/AR, simultaneous brain-body recordings, individualised recordings, or high-throughput imaging.
In addition, the successful applicant is expected to contribute to the supervision of PhD and/or MSc students and to teaching activities of the TNU.
The successful applicant will be working in two locations: the main building of the TNU (Wilfriedstrasse 6, 8032 Zurich) and in its OPM-MEG laboratory (Gloriastrasse 37/39, 8006 Zürich).
Profile
Mandatory qualifications and characteristics include :
- An academic background in physics or engineering (or a related field),
- Successful completion of a PhD,
- Profound practical and theoretical expertise in OPM-MEG,
- Excellent programming and computational/statistical skills (e.g. generative modeling, machine learning),
- Excellent writing skills,
- Excellent communication and time management skills,
- Interest in working in a highly interdisciplinary environment,
- Collaborative spirit and team player attitude,
- Excellent command of the English language.
Desirable (but not mandatory) qualifications include :
- Experience with the programming languages Julia and Matlab,
- Experience with the development of open source software,
- Experience with the neuroimaging analysis packages SPM and/or FieldTrip.
Workplace
Workplace
We offer
We offer an academic environment that is international, highly interdisciplinary (from mathematics to medicine), and ambitious yet friendly and supportive. We support our young scientists in their careers and strive for flexible solutions enabling people to combine family and work. We are committed to principles of robust science, including open source software, preregistration of analyses, and code review.
We value diversity and sustainability
Curious? So are we.
We look forward to receiving your online application with the following documents:
- Letter of motivation,
- Curriculum Vitae,
- List of publications and other forms of academic output (incl. software),
- Contact details of at least two referees.
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the TNU can be found on our website. For further enquiries, please contact Dr. László Demkó (demko@biomed.ee.ethz.ch) or Prof. Klaas Enno Stephan (stephan@biomed.ee.ethz.ch); this is for enquiries only, please do not send any application documents.
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.