Master Thesis in Large-Scale Optimization for Supply Chain Logistics

Stellenbeschreibung:

Master Thesis in Large-Scale Optimization for Supply Chain Logistics

Safe Intelligence — this forms the core brandof the Fraunhofer Institute for CognitiveSystems IKS . Connected cognitive systemsdrive innovation in many sectors, includingmobility, healthcare, and automation in industry.Disruptive technologies such as artificialintelligence and quantum computing play a key rolehere. Fraunhofer IKS is conducting research toensure that these applications are reliable andverifiably safe. We consider resilience andintelligence to be part of the same process.

Be part of change

In this master thesis, you will develop amodular optimization framework for a real-worldInventory Routing Problem. This optimizationproblem combines aspects of inventory management,delivery scheduling, and routing (see, e.g.,arXiv: ). You will start by reviewing therelevant literature and existing solutionapproaches, then formalize the use case, itsscale, constraints, and available data. Buildingon this, you will design and implement aprototypical end-to-end system. In particular, youwill research different decomposition strategies(e.g., temporal, spatial, and mathematical) andimplement a modular solution using classicaloptimization techniques, quantum-inspired methods,and/or AI techniques. The orchestration of thefull solution can be managed, e.g., by an agenticcomponent.

What you contribute

  • Programming skills, preferably Python, andgood software engineering practices
  • Knowledge in combinatorial optimization
  • Experience in implementing machinelearning solutions (in particular reinforcementlearning)
  • Experience with one or more of thefollowing is a plus:
  • Common optimization libraries (e.g.,Gurobi, CPLEX, HiGHS)
  • Machine learning libraries (pytorch,tensorflow)
  • Working with real-world data (cleaning,handling missing data, robustness)
  • Enrollment in a German university,preferably in Munich or surrounding area
  • Especially suitable for students ofComputer science, Cognition, Intelligence, DataEngineering, Mathematics and related subjects

What we offer

  • Approachable supervisors, integration intoa dynamic team with innovative task areas
  • Flexible working style (including aworkplace located at our new institute building inGarching)
  • Insights into applied science practicesand ways of working with Fraunhofer
  • Practical approach to your studies

Computer Science, Data, AI,Natural Sciences & Mathematics

Kontakt

Are you interested in a non-academic career?

Ready for another challenge? Your pefect start for working abroad.

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Stelleninformationen

  • Veröffentlichungsdatum:

    17 Mär 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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