# Postdoc position on EEG and machine learning

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**Created:** [October 14, 2020, 9:23am UTC](https://mne.discourse.group/t/postdoc-position-on-eeg-and-machine-learning/2340 "2020-10-14T09:23:17Z")\
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**Post date:** [October 14, 2020, 9:23am UTC](https://mne.discourse.group/t/postdoc-position-on-eeg-and-machine-learning/2340/1 "2020-10-14T09:23:17Z")

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External Email - Use Caution

Dear all,

A 2-year postdoc position is available for a researcher with an interest in  
cognitive neuroscience, electroencephalography (EEG), and machine learning.  
The position will be based at the University of Bern, in Switzerland, at  
the Institute of Computer Science ([https://www.inf.unibe.ch/index\_eng.html](https://www.inf.unibe.ch/index_eng.html))  
and sitem-insel ([https://sitem-insel.ch/en](https://sitem-insel.ch/en)), under the supervision of  
Athina Tzovara. Our group (  
[https://www.inf.unibe.ch/about\_us/team/cognitive\_computational\_neuroscience\_ccn/index\_eng.html](https://www.inf.unibe.ch/about_us/team/cognitive_computational_neuroscience_ccn/index_eng.html))  
is studying the neural mechanisms underlying predictive processes in the  
human brain. We are using high-density EEG, MEG and ECoG recordings, in  
combination with machine learning and computational modeling techniques.

The open position will study the neural and computational mechanisms that  
allow humans to anticipate the outcome of their actions. To this aim, the  
selected candidate will design novel EEG experiments and use signal  
processing and machine learning tools to analyze EEG data. This position  
could be ideal for candidates with a background in computer science and a  
strong interest in neuroscience, or with a background in neuroscience, but  
with strong computational and programming skills.

Qualifications: Candidates should have a PhD in neuroscience, biomedical  
engineering, computer science, or a related discipline. Experience with  
machine learning / computational modeling and programming skills in python,  
R or matlab are highly desirable. Experience with recording and analyzing  
EEG data is an advantage.

We offer: funding for 2 years following regulations of the University of  
Bern, access to high-density scalp EEG and ECoG recordings, and an  
interdisciplinary & international research environment.

To apply please send by 02.11.2020 one pdf document including your CV, a  
statement of research interests, and contact details for two referees to:  
athina.tzovara at inf.unibe.ch

Informal inquiries are welcome.