Connectionists: Postdoc position - Cheng Lab - Ruhr University Bochum

[Vinita Samarasinghe]

Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University 
Bochum, invites applications for a full time *Postdoctoral position* 
(TV-L E13) in Computational Neuroscience. The position starts on July 1, 
2022 and is funded for three years.

The successful applicant will work on a collaborative project (within 
the Collaborative Research Center “Extinction Learning” (SFB 1280 
<https://sfb1280.ruhr-uni-bochum.de/en/home/>)), together with 
experimentalists to:

  * analyze learning dynamics in behavioral, neural, and
    psychophysiological data, which will be collected by other projects
    within the SFB 1280,
  * compare the learning dynamics between individuals, species, learning
    phases and learning paradigms,
  * develop algorithms to analyze the learning dynamics,
  * develop and study computational models of learning dynamics,
  * coordinate research with other participating projects.

Candidates must have:

  * a doctorate degree in neuroscience, physics, mathematics,
    electrical/biomedical engineering or a closely related field,
  * relevant experience in mathematical modeling,
  * excellent programming skills (e.g., Python, C/C++, Matlab),
  * excellent communication skills in English,
  * the ability to work well in a team.

Research experience in neuroscience would be a further asset.

The position is third party funded and does not have any formal teaching 
duties attached.

The research group is highly dynamic and uses diverse computational 
modeling approaches
including biological neural networks, cognitive modeling, and machine 
learning to investigate learning and memory in humans and animals. For 
further information see www.rub.de/cns.

The Ruhr University Bochum is home to a vibrant research community in 
neuroscience and cognitive science. The Institute for Neural Computation 
is an independent research unit and
combines different areas of expertise ranging from experimental and 
theoretical neuroscience to machine learning and robotics.

The Institute for Neural Computation focuses on the dynamics and 
learning of perception and behavior on a functional level but is 
otherwise very diverse, ranging from neurophysiology and psychophysics 
over computational neuroscience to machine learning and technical 
applications.

Please send your application, including CV, transcripts and research 
statement electronically, as a *single PDF file*, to 
*samarasinghe at ini.rub.de*. In addition, at least two academic references 
must be sent independently to the above email address. The deadline for 
applications is *January 2, 2022*. Travel costs for interviews will not 
be reimbursed.

The Ruhr University Bochum is committed to equal opportunity. We 
strongly encourage applications from qualified women and persons with 
disabilities. We are committed to providing a supportive work 
environment for female researchers, in particular those with young 
children. Our university provides mentoring and coaching opportunities 
specifically aimed at women in research. We have a strong research 
network with female role models and will provide opportunities to 
network with them. Wherever possible, events will be scheduled during 
regular childcare hours. Special childcare will be arranged if events 
have to be scheduled outside of regular hours, in case of sickness and 
during school or daycare closures. Where childcare is not an option 
parents will be offered a home office solution.

If you have any questions please feel free to get in touch with Vinita 
Samarasinghe (contact below)

-- 
Vinita Samarasinghe M.Sc., M.A.

Science Manager
Arbeitsgruppe Computational Neuroscience
Institut für Neuroinformatik
Ruhr-Universität Bochum, NB 3/73
Postfachnummer 110
Universitätstr. 150
44801 Bochum
Germany

Tel: +49 (0) 234 32 27996
Email:samarasinghe at ini.rub.de
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20211217/453cd152/attachment.html>