PhD Student or Postdoc in Neuroscience

University of Zurich

Switzerland

Neurosurgery Department and Institute for Neuroinformatics

PhD Student or Postdoc in neuroscience
100 %

We aim to develop biomarkers that can quickly and reliably detect epileptogenic brain tissue in intracranial EEG (iEEG) recordings of epilepsy patients. In particular, High-Frequency Oscillations (HFO) have been recently established as promising biomarkers to guide epilepsy surgery.

Your responsibilities

You will be responsible for the computational and theoretical aspects of the project, which aims to find the optimal algorithms for identifying the biomarkers. While a large body of data is already available, you will also participate in recordings of human iEEG and single neuron firing.

Your profile

You have a master degree in a Computer Science, Mathematics, Physics or related fields; knowledge in programming, time series analysis and machine learning; good written and spoken English; strong team-working abilities and excellent communication skills. Basic knowledge in neuroscience is beneficial. To speak with the surgery team some German would be a plus.

What we offer

We offer advanced, interdisciplinary PhD training and participation in cutting-edge clinical neuroscience and neuroinformatics research projects together with Prof. Giacomo Indiveri. The highly competitive salary follows Swiss National Science Foundation guidelines. 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.

Place of work

You will spend time both at the Institute of Neuroinformatics and at the Neurosurgery Department of the University Hospital Zurich.

Start of employment

The employment start date is to be mutually agreed. The position is available now.

Further information

For further information please visit our websites www.neurochirurgie.usz.ch and www.ini.uzh.ch. Questions regarding the position can be directed to Johannes.Sarnthein@usz.ch.

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