Postdoc position in the Obermayer Lab

Research Assistant (PostDoc position)

Field: Risk-sensitive choice and reinforcement learning under uncertainty

To be filled: April 1, 2019

Application due: Feb 28, 2019
Reference number: IV-755/18
Applications received after this date may still be considered.

Tenure: 3 years

Remuneration: E-13 TV-L, 100 %

 

Working field:
The successful candidate will join a DFG funded project (with Co-PI Dirk Ostwald, Freie Universit├Ąt Berlin) which combines computational modelling with behavioral and fMRI experiments. The goal is to better understand human decision making and reward-based learning under perceptual uncertainty. The computational framework generalizes the risk-sensitive MDP approach of Yun et al. 2014 (Neural Comput. 26, 1298ff) to a POMDP-based behavioral modelling framework. Planned experiments address response time behavior and neural reinforcement learning processes under perceptual risk. The work program can be biased either towards computational or experimental work depending on the qualifications of the candidate.

Requirements:
Successfully completed university degree in a subject relevant to the work program; very good programming and English language skills; solid background in decision making and reward-based learning on a theoretical and / or experimental level; experience with computational modelling and the model-based analysis of behavioral and fMRI data is desirable.

How to apply:

Please send your application with the usual documents (CV, letter of motivation, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Klaus Obermayer (FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin) preferably by e-mail (klaus.obermayer@tu-berlin.de).

Please send copies only. Original documents will not be returned.