2 Year Independent Postdoc in Computational Neuroscience Theory of Neural Systems

Job Description

The Institute for Neural Computation of the Faculty for Informatics is looking for a

postdoc (m,f,x) in the field of Computational Neuroscience for 2 years, 39,83 hours per week, E13 TVL

The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It 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.

There is an open position for a postdoc in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled as soon as possible. The position is planned for two years with salary level 100% TV-L E13, the standard German salary for postdocs. This position offers the opportunity to develop your own research profile and establish an independent research group. The research topic should be in the field of computational neuroscience on a system level, in particular modeling the visual system, episodic memory, or navigation in mammals. Collaborations with colleagues at the institute are welcome.

extent: full-time
duration: temporary
beginning: as soon as possible
application deadline: 02.01.2023

Your tasks:

Independent research projects and publications.
Acquiring third party funding.
A lot of room for own ideas and initiatives.
Supervising student projects and your own PhD projects.
Active participation in the local research environment.

Your profile:

Active participation in the local research environment.
Solid knowledge in Computational Neuroscience.
Potential to develop an original independent research agenda in one of the above-mentioned topics.

Our offerings:

An interesting interdisciplinary environment in the field of experimental and computational neuroscience / machine Learning.
Opportunity to develop an independent research profile and your own research group.
Opportunity to pursue further scientific qualification.
A lot of room for own ideas and initiatives.

Additional information:

At the request of the applicant (m,f,x), the staff council may be involved in selection interviews.

The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).

The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.

The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.

Contact details for your application:

Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.

ANR: 1267 until 21/11/2022

Applications (CV, transcript of records for PhD, MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott@rub.de.

Published at https://jobs.ruhr-uni-bochum.de/jobposting/360e82936d27d5749b276888153c2cb1a6e54c1a0?ref=homepage

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210