Job Description
We are looking for a student research assistant to support the implementation and execution of human-participant experiments with AI applications and to support AI programming. We are an interdisciplinary research team focusing on human-AI collaboration in the workplace.
Your tasks:
- Development of machine learning software components and user interfaces in Python.
- Provide support at events of the Competence Center HUMAINE.
- Possibly assist with literature research in the field of artificial intelligence or smaller organizational tasks within the Competence Center HUMAINE or the research group of Prof. Dr. Laurenz Wiskott.
The working hours are a maximum of 9 hours per week. The scheduling can be agreed with me or the supervisor.
The position is available from January 2025 and is limited to 6 months, after which it can be extended by agreement.
How to Apply
Please send your application with a transcript of records and a short CV without a photograph to:
pavlos.rath-manakidis@ini.rub.de
Requirements
- Completed or currently ongoing bachelor's degree in computer science, applied computer science, data science or a related discipline.
- Good knowledge of English. Knowledge of German is desirable.
- Good knowledge of Python and knowledge in the field of artificial intelligence and especially neural networks.
- Experience programming machine learning programs or user interfaces in Python. For example with PyTorch.
Desirable:
- Interest in aspects of human-AI interaction and the introduction of AI in work processes.
- Ability to work in a team in scientific work.
- Systematic approach to scientific work.
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.