Connectionists: PhD / postdoc position, Risk-sensitive choice and reinforcement learning under uncertainty

[Youssef Kashef]

Research Assistant (PhD / PostDoc position)

Neural Information Processing Group
Technische Universität Berlin
Berlin, Germany

Risk-sensitive choice and reinforcement learning under uncertainty

Salary level: TV-L 13 (100%)
Duration: 3 years
Starting date: April 1st, 2019

Application deadline: February 15th, 2019 (but later applications may also
be considered)

Working field

The successful candidate will join a DFG funded project (with Co-PI Dirk
Ostwald, Freie Universität 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.

Qualifications

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 at tu-berlin.de).

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