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Postdoctoral Fellowship – MEG and EEG Studies of Decision Processes in the Dorsal Stream

 

Postdoctoral Fellowship – MEG and EEG Studies of Decision Processes in the Dorsal Stream

Pittsburgh PA, 15213           ·          Full time

 

We are seeking applications for a postdoctoral fellowship in the Department of Psychiatry at the University of Pittsburgh under the direction of Alex Dombrovski, M.D. (University of Pittsburgh), Michael Hallquist, Ph.D. (University of North Carolina), Karim Jerbi, Ph.D. and Paul Cisek, Ph.D. (University of Montreal).  The research fellow will work on a NIMH-funded MEG and EEG studies of decision processes in the dorsal stream. The fellow will spend part of their time at Drs. Jerbi’s and Cisek’s labs in Montreal. Ideally, applicants should have experience with MEG and/or EEG, cognitive neuroscience, and reinforcement-learning computational models of behavior. Experience with machine learning and dimensionality reduction techniques would be a valuable addition. This position will require excellent quantitative and statistical skills, and successful candidates will have a track record of published high-quality research. Proficiency with Matlab, R and Python is desirable.

 

Funding is available now with a flexible start date. Applications will be reviewed on an ongoing basis starting in February 2023. This is a two-year position with possible funding for a third year of postdoctoral training, depending on performance and availability of funds. Salary and benefits will conform to standard postdoctoral rates at the University of Pittsburgh. Candidates must have completed the requirements for a Ph.D. in neuroscience, cognitive psychology, quantitative psychology, bioengineering, or a related field at the time of the appointment.

 

To apply, please submit a curriculum vitae and cover letter describing your research interests and experience to Alex Dombrovski dombrovskia@gmail.com.

 

The University of Pittsburgh is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

 

 

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