[CogSci] postdoctoral position in Crowd Cognition Lab in Munich, Germany

[Bahador Bahrami]

Postdoctoral Research Position in Crowd Cognition Lab in Munich, Germany

Employment for (1+2) years: initially for 1 year and extended to 3 upon
mutually satisfactory outcome of first year

The expected starting date is 01 Dec, 2019 (but can be flexibly negotiated)


Application Deadline: 16 Sept 2019,

Interview week planned first week of October 2019.

The successful applicant will combine 2-person interactive behaviour, EEG,
computational modelling of behaviour, and machine learning methods in
analysis of EEG to understand and enhance collective decision making in
humans.   This post is part of our 5-yr European Research Council (ERC)
funded project focusing on Overconfidence in Social Interactive Decision
Making. The project is hosted by the LMU Department of Psychology, and will
start in September 2019. As part of the project, the applicant will join
the interdisciplinary research group Crowd Cognition
<http://crowdcognition.net/> and willwork in close collaboration with Dr.
Bahador Bahrami, as well as the lab’s network of international
collaborators associated to the project (see HERE
<http://crowdcognition.net/people/>).

A graphical description of the project’s research question and main goals
is available HERE <http://crowdcognition.net/neuro-feedback-project/>

Job description:

The appointee will be expected to

• develop research ideas and plan and implement experiments (ethics,
design, programming);

• conduct experiments and collect data from adult human subjects;

• perform statistical analysis (with particular focus on using
computational modelling to interpret behavioural and neuroimaging data);

• prepare reports and articles for publication;

• attend regular meetings and contribute to the research environment;

• supervise graduate students and research assistants

• work as part of a team.

Requirements:

The successful candidate will have

   1. PhD in system/cognitive neuroscience, physics, computer sciences,
   economics
   2. a strong background in quantitative methods (machine learning,
   computational modelling of human behaviour)
   3. interest in interdisciplinary projects combining humanities,
   biomedical sciences and math
   4. Knowledge of experimental design, statistics and data analysis is
   expected.
   5. Strong command of linear algebra, probability theory and programming
   (eg R, Python, Matlab) is essential for this post.

The position is for 3 years, with an intermediate evaluation for
satisfactory performance at the end of the first year.

The appointment will be made within the German TV-L E 14 salary scheme
(family benefits apply).  Mastery of the German language is not necessary
for the position, and all scientific exchanges are conducted in English.

If interested, please contact Bahador Bahrami (bbahrami at gmail.com) and send
your CV, cover letter, and contact details of 3 referees.
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