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 quality assurance of scientific software. The position is available immediately and is initially limited for 6 months with the possibility of extension.
We are looking for a highly motivated student to help the computational neuroscience group at the INI improve code documentation and testing of scientific software. For instance, we are in the process of implementing a CI/CD pipeline within Gitlab to run automated tests. The successful candidate will be expected to configure this system, maintain it, run unit tests on a Docker-based runner and make sure that projects conform to the group’s quality requirements. Our projects are mainly developed in Python on a Linux system. Other tasks may include making data (computer code and experimental data) accessible to all group members as well as the wider scientific community, helping annotate this data with metadata, document collected data and maintain a reference database.
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. For further information see www.rub.de/cns
How to Apply
Please send your applications, including statement of motivation, CV and transcripts, electronically, as a single PDF file, to firstname.lastname@example.org .
Candidates must be enrolled at a German university to be eligible for this position.
We are looking for someone who:
- has excellent general knowledge in computer science, applied computer science, neural computation or a related field
- has outstanding programming skills in Python
- is an expert in Gitlab
- has basic knowledge of Docker
- is fluent in English, both written and spoken
- can manage projects independently
- has excellent communication skills and works well in a team
Further assets include:
- familiarity with computational neuroscience or experimental psychology
- experience with Matlab
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.