Student assistant for the analysis of neural and behavioral data Computational Neuroscience

Job Description

We are looking for a student assistant (10 h/week) with solid programming skills to provide support in the study of Learning and Memory. The successful candidate will have the opportunity to acquire hands-on experience in the analysis of neural and behavioral data, and to get acquainted with the computational models relevant for this area of research.

We offer:

  • flexible work hours
  • a fantastic work atmosphere
  • the opportunity to get to know the RUB neuroscience community

How to Apply

Please send your application, including CV and letter of motivation, as a single PDF file to Jose Donoso.


Experience in programming (preferably with MATLAB or Python) is essential.

English proficiency and ability to work in a team.

Important: The candidate should be available to stay for 6 months.

Ruhr University Bochum is committed to equal opportunity in employment and gender equality in its working environment. To increase gender distribution in all job categories and at all levels, we strongly encourage applications from qualified women. Female applicants will be given preferential consideration when their level of qualification, competence and professional achievements equals that of male candidates, unless arguments based on the personal background of a male co-applicant prevail. Applications from appropriately qualified handicapped persons are also encouraged.

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