Working Students with 60h per month Big Data Engineering (DAMS)

Student assistant (60 hours per month), Big Data Engineering (DAMS)

Working Field:

The DAMS Lab research group is looking for a student assistant (d/m/w) to join the team and help with group-internal prototype development and experiments in the context of system-oriented research on data and machine learning (ML) systems for the end-to-end data science lifecycle from data integration, cleaning, and preparation, over efficient and scalable model training, to model debugging and deployment. The responsibilities of the student employee include:

Open-source contributions to group-internal ML systems on high-level abstractions, compilation and runtime techniques, tests, as well as peripheral tools (APIs, system internals, and tools) [60%]
Implementation of data analysis and ML pipelines developed at the chair (use cases, primitives, and applications from various domains, including health care and earth observation) [20%]
Experimental evaluation of end-to-end ML pipelines, system components, and various baselines [20%]

Employer: TU Berlin / BIFOLD
Compensation: 14,32 Euro per hour
Starting date: at the earliest possible / for 2 years
Closing date: 20.03.2025
Full job posting: IV-SB-0014-2025

Working Students (DAMS)