Research Scientist / Computer Scientist in Discrete Optimization | Mathematiker*in / Informatiker*in im Bereich Diskrete Optimierung
Hochschule für Technik und Wirtschaft
Job Summary
This role involves working as a Research Scientist on the IBB-funded HOTSTEEL research project, focusing on developing innovative algorithms for CO2-optimized scheduling of production processes within the steel industry. Day-to-day tasks include designing, implementing, and testing these algorithms, specifically leveraging GPU acceleration for performance. The successful candidate will collaborate closely with academic and industrial research partners, discussing results using real-world data and iteratively improving solutions. Key qualifications include a Master's degree in Mathematics or Computer Science, professional experience in discrete optimization, particularly Mixed-Integer Programming (MIP), and strong programming skills in advanced languages (C/C++, Rust, Julia, Python). This position is attractive as it offers the opportunity to contribute to cutting-edge applied research, potentially leading to a PhD, within an active, collaborative research group in Berlin.
Required Skills
Education
Master's degree or equivalent in Mathematics, Computer Science, Scientific Computing, or related fields
Experience
- Professional experience in discrete optimization
- Experience in Mixed-Integer Programming (MIP)
- Experience in programming using an advanced language (C/C++, Rust, Julia, Python)
- Experience working with academic and industrial research partners (Implied)
Languages
Additional
- Fixed-term contract until March 31, 2029 (subject to third-party funding approval)
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