2 Positions – Student assistant (40 hours per month)

The DEEM Lab (https://deem.berlin) conducts research at the intersection of data engineering and machine learning. We are looking for two dedicated and responsible Student Research Assistants to support our lab members in their research activities. For detailed information on research focus areas and projects for which Student Assistants are currently needed, please see https://github.com/deem-data/student-assistants/blob/main/topics.md

• Reviewing relevant literature and implementations (20%)
• Assistance with implementation of features as well as documentation of this code (40%)
• Assistance with visualization of results (10%)
• Support for documenting scientific results and code (10%)
• Assistance with writing tests and benchmarks (20%).

Student assistants will also be included as a co-author on the resulting scientific publications.

Mandatory criteria:

• Extensive knowledge of machine learning models and workflows
• Proficiency in Python
• Experience using libraries (NumPy, Pandas, or PyTorch)
• Experience with open-source development practices or contributions to open-source projects
• Experience writing clean, modular, and well-documented Python code
• Willingness to perform the work primarily on the TU Berlin campus
• Good knowledge of German and/or English required; willingness to acquire the respective missing language skills

Optional criteria:

• Research experience in machine learning or data systems
• Good knowledge about popular agentic systems for ML Engineering

Party responsible for specialist area / point of contact for job posting: Prof. Dr. Sebastian Schelter - sekr@deem.tu-berlin.de
Period of employment: immediately limited to 2 years
Apply to: sekr@deem.tu-berlin.de

Please submit your written application including cover letter, your CV, certificate of enrollment, and where applicable, current transcript of records, with the reference number to the place of employment indicated above.
In the interest of promoting equality opportunities for men and women, applications from women with suitable qualifications are particularly encouraged.