Institute of Neuroinformatics ETH/UZH and Neurosurgery Department USZ
PhD Student in neuroscience 100 %
We use signal-processing techniques to develop biomarkers that can quickly and reliably detect epileptic activity in intracranial EEG (iEEG) recordings of epilepsy patients. In particular, High-Frequency Oscillations (HFO) are being validated as promising biomarkers to guide epilepsy therapy. The research group offers advanced, interdisciplinary PhD training and participation in cutting-edge clinical neuroscience and neuroinformatics research projects together with Prof. Giacomo Indiveri and Prof. Johannes Sarnthein. We have broad expertise in acquiring and analyzing human electrophysiology recordings (Boran et al. 2019 Science Advances, Dimakopoulos et al. 2021 Brain Communications, Sharifshazileh et al. 2021 Nature Communications).
You will be responsible for the data science and computational aspects of the project, which aims to find the optimal algorithms for detecting seizures in iEEG in real time. This requires data curation and devising spiking neural networks with neuromorphic hardware. While a sufficient body of data is already available, you may participate in recording sessions of human iEEG and single neuron firing with an opportunity to interact with researchers from a variety of backgrounds
You have a master degree in Biomedical engineering, Computer Science, Physics or related fields; knowledge in programming, time series analysis; good written and spoken English; strong team-working abilities and excellent communication skills. Basic knowledge in neuroscience is beneficial. To speak with the clinicals, some German would be a plus.
What we offer
The successful candidate will participate in the ZNZ doctoral program for additional theoretical/practical training and will receive a PhD from the Faculty of Science at the University of Zurich. You will spend time mainly at the Neurosurgery Department of the University Hospital Zurich and also at the Institute for Neuroinformatics and the Swiss Epilepsy Center. The highly competitive salary follows Swiss National Science Foundation guidelines. Zurich is a highly attractive city in beautiful surroundings, with a multinational population, and many educational and recreational opportunities.
Employment start date to be mutually agreed. To apply, please send a single PDF file merged from the following parts: CV (with possible publications included), a copy of your academic transcript records, contact details of two references (e.g. MSc thesis supervisor), and a cover letter (maximum 1 page) with a description of your research interests and why you would be a suitable candidate for the project. Applications will be considered until the position is filled.