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Last update: 2 Jul 2020

Multiple postdoc positions are available! The lab works in the field of brain stimulation (with the focus on the transcranial methods – TMS, tACS/tDCS) across multiple levels of investigation. We conduct both computational research (using resources of Minnesota Supercomputing Institute) and human experimental research (EEG, ECoG, functional and structural MRI, psychophysics). In collaboration with other labs at the University of Minnesota, we perform basic research in animal models. Through the direct vicinity to the Medical School, we have several collaborators who study brain stimulation in clinical populations.

We are looking for a postdoc to contribute to our ongoing projects: closed-loop TMS-EEG, multiscale modeling of TMS/tACS, human research in neurophysiology of TMS/tACS, cognitive effects of brain stimulation in healthy humans and patients; or develop their own research agendas. Interest and ability to integrate into a multidisciplinary team is essential.

The ideal candidate should have Ph.D. in applied quantitative field (Engineering, Physics, or Applied Mathematics), Life Sciences (Neuroscience, Human Biology), or Cognitive Science. Strong technical and computational skills are preferred, but candidates with strong human experimental background are also encouraged to apply.

The Opitz lab is committed to the career advancement of its members. We offer a diverse and inclusive environment with numerous opportunities for members to develop their own projects and support for fellowships and career development awards.

Informal inquiries can be made to [email protected]

See more details below:


A postdoc position in cognitive neuroscience funded by the NIH Brain Initiative is available! Our lab works in the field of noninvasive brain stimulation across multiple levels of investigation. The candidate will contribute to developing our fMRI research program in the context of non-invasive neuromodulation (TMS, tACS). Furthermore, the opportunity exists to initiate or contribute to ongoing cognitive experimental projects involving human volunteers. We have access to the world leading Center for Magnetic Resonance Imaging in Minnesota, including state-of-the-art 3, 4, 7, and 10.5 Tesla human scanners.

The Opitz lab is committed to the career advancement of its members. We offer a diverse and inclusive environment with numerous opportunities for members to develop their own projects and support for fellowships and career development awards. The funded project involves collaborators in New York and Denmark and research exchanges will be part of the project. Experienced candidates can be hired at the research associate level.

Required Qualifications:

  • Ph.D. in Neuroscience, Cognitive Science, Neural Engineering, or related fields.
  • Strong record of technical or experimental capabilities in research.
  • Working proficiency with Python/Matlab/R.

Preferred Qualifications:

  • Experience with MRI imaging analysis software, e.g. FSL, FreeSurfer, SPM, AFNI, ANTs.
  • Previous experience with noninvasive brain stimulation.

A postdoc position in computational neuroscience funded by the NIH Brain Initiative is available! Our lab works in the field of noninvasive brain stimulation across multiple levels of investigation. The candidate will develop and extend existing computational models to bridge physical and physiological effects of transcranial magnetic stimulation (TMS). The candidate will further contribute to analyzing invasive electrophysiological data from NHPs stimulated with TMS. Access to computing resources from the Minnesota Supercomputing Institute are available.

The Opitz lab is committed to the career advancement of its members. We offer a diverse and inclusive environment with numerous opportunities for members to develop their own projects and support for fellowships and career development awards. The funded project involves collaborators in New York and Germany and research exchanges will be part of the project. Experienced candidates can be hired at the research associate level.

Required Qualifications:

  • Ph.D. in Engineering, Neuroscience, Physics, Applied Mathematics or similarly related field.
  • Strong record of technical capabilities in research.
  • Expertise in Python/Matlab or other programing languages.

Preferred Qualifications:

  • Experience in computational neuroscience.
  • Background in computational modeling/analysis of neural data.