Student Assistant - Coordination of the research unit FOR 2812 Computational Neuroscience

Job Description

Prof. Dr. Sen Cheng, Institute for Neural Computation (INI), Ruhr University Bochum, invites applications for a part time position (8 hours per week) of Student Assistant to support the activities of the DFG funded research unit FOR 2812: Constructing scenarios of the past. The position is available immediately and is initially limited for 3 months with the possibility of extension.

We are looking for a highly motivated student to help the research unit with the coordination of the group. Specifically we need someone to help with upcoming events (virtual and in person) and with our software quality management project.

How to Apply

Please send your application, including statement of motivation, CV and academic transcripts electronically, as a single PDF file, to .


Candidates must be enrolled at a German university to be eligible for this position.

We are looking for someone who:

  • is fluent in English, both written and spoken

  • has excellent organizational and communication skills and works well in a team

  • can work independently

  • is tech savvy

Not required but would be nice: 

  • programming skills in Python

  • knowledge in Gitlab

  • experience with graphic design

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