For our research project Go!PPS , we are looking for a Student Assistant (m/f/d) – within the research project – for “Development of GPU-based Algorithms” in the department FB4 with a working time of 10 to 20 hours per week (flexible, by arrangement).

In the research project “GPU-accelerated Optimization for Production Planning and Scheduling (Go!PPS)” at HTW Berlin, we investigate how modern graphics processors (GPUs) can be used to solve large-scale production planning and scheduling problems – in close cooperation with our industrial partner SAP SE. We are looking for a motivated student assistant to support us in the implementation, optimization, and integration of GPU-based algorithms.

Key responsibilities include:

• Implementation and optimization of GPU-based algorithms for job scheduling
• Performance analysis and benchmarking of GPU solutions
• Documentation of developed components and participation in testing and evaluation
• Collaboration with the project team and researchers, with a potential focus on industrial applications

• Basic knowledge of parallel programming or GPU computing (e.g., CUDA)
• Programming experience in at least one language such as C/C++ or Python
• Interest or initial experience in optimization, production planning, or scheduling is a plus
• Experience with Linux environments and version control (e.g., Git) is desirable
• Good communication skills in German or English
• Independent, structured, and proactive working style

• Participation in an exciting, industry-relevant research project with a leading partner (SAP SE)
• Insights into cutting-edge topics such as GPU computing and production optimization
• Flexible working hours and integration into a motivated team at HTW Berlin
• Opportunity to work independently and contribute your own ideas
• Supervision of Bachelor’s and Master’s theses is also possible.

The position is remunerated in accordance with the applicable collective agreement for student assistants (TV-Stud III-KAV).