Combinatorial Optimization & ML Specialist (Scheduler Development) - Lower Saxony - Start: Nov
Projektbewertung
Die Ausschreibung bietet einen sehr detaillierten Einblick in ein spannendes Projekt im Bereich der Logistikautomatisierung mit klaren Anforderungen an Optimierungsexpertise, Remote-Möglichkeiten und monatlichen Vor-Ort-Terminen in Niedersachsen, wodurch sie für Spezialisten im Bereich Operations Research und Machine Learning sehr attraktiv erscheint.
Combinatorial Optimization & ML Specialist (Scheduler Development) - Lower Saxony - Start: November
We are supporting a leading automation project in Lower Saxony/Hamburg – a state-of-the-art operation integrating autonomous vehicles and stacking cranes (think Amazon warehouses, but at container scale).
The internal team already covers the data science base. What’s missing is an Operations Research / Optimization specialist with Machine Learning expertise who can build and fine-tune a scheduler to drive the automation forward.
Your Profile
• Strong background in Operations Research / Combinatorial Optimization
• Hands-on experience with solvers: Gurobi, CPLEX (mathematical modelling/programming)
• Knowledge of heuristics / metaheuristics approaches
• Machine Learning skills (Python, ML libraries) to complement your OR work
• Ideally: experience in scheduler development for logistics, production, or automation environments
The Assignment
• Core task: Design & develop a scheduler to orchestrate autonomous vehicles and stacking cranes
• Project domain: Container terminal automation (Lower Saxony)
Contract Details
• Type: Freelance
• Setup: Primarily remote, with monthly travel
• Duration: 12 months initial – project runs ~3 years (extensions very likely)
Languages: English is sufficient, German preferred
If interested, please apply with your most up to date CV.
Best regards,
Valerie Schwane Torres
Associate Recruitment Consultant
Direct Line: +4930300150238
Email: vschwane@optimussearch.com
Web: www.optimussearch.com