The Department of Health Sciences and Technologies (D-HEST) at the Swiss Federal Institute of Technology in Zurich (ETH), and the Swiss Epilepsy Center (SEC) in collaboration with the University of Zurich (UZH) strongly focus on the transfer of basic research knowledge to health-related and clinical applications. The ETH and USZ human neuroscience laboratories are equipped with a cutting-edge computational infrastructure, neuroimaging, behavioral and neuromodulation laboratories. Applications are invited for PhD position in ‘closed-loop non-invasive brain stimulation, human electrophysiological signal processing, and human cognition’.
The successful candidate will work with Prof. Rafael Polania (ETH) and PD Dr. Med. Lukas Imbach (SEC) on cutting-edge, interdisciplinary methods and procedures of neuromodulation and electrophysiological analyses. We will develop and apply novel closed-loop non-invasive brain stimulation methodologies for the direct application of these techniques in both healthy individuals and epilepsy patients. If successful, this project will allow us to establish new technologies that regulate neural dynamics and its resulting behavior in humans.
Employment will begin in May 2021 and initially last three years.
Given that this project involves interactions with patients in the German speaking area of Switzerland, the PhD candidate should speak and write English and German proficiently. Additionally, the candidate should have, or soon have, a good master’s degree with strong background in computational (neuro)sciences, signal processing and time-series analyses expertise in a relevant discipline (e.g., computer science, physics, mathematics). The ideal candidate will have excellent skills in computer programming (e.g. extensive experience with R, Matlab, Python and/or C++) and the use of advanced software for behavioral and brain imaging data analysis (M/EEG, fMRI) is a plus.
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We look forwardto receiving your online application including:
- CV (incl. full publication list),
- Cover letter explaining why you are suited for and interested in the position (explain why you fit the profile),
- Academic transcripts,
- Sample of written work (e.g., MA thesis),
- Names/affiliations, e-mail addresses and/or recommendation letters from 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.
For further information about the department please visit our websites:
Questions regarding the position (no applications) should be directed to Prof. Rafael Polania by email firstname.lastname@example.org, or to Dr. Lukas Imbach Lukas.Imbach@uzh.ch.