PhD Researcher - (DC4) Hybrid Learning Control for Agent-Based Intralogistics Systems - CAVECORE (m/w/d)
cellumation
About this role
A researcher develops hybrid machine learning control systems for the Celluveyor system, implementing and validating algorithms on production systems and hardware platforms. The role involves scientific research, publishing, dissertation work, and collaboration with industry and academic partners.
Skills
Qualifications
About cellumation
cellumation.comcellumation GmbH is a Germany-based engineering company that develops and builds flexible, intelligent conveyor technology for material-flow systems in production and logistics. They deliver modular, scalable conveyor solutions that combine mechanical hardware and smart control to enable automated, reconfigurable material handling across manufacturing lines and warehouses. Focused on system planning, integration and implementation, cellumation aims to increase throughput, traceability and operational flexibility for industrial and logistics customers.
About cellumation
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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