Publisher
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Mirko Skiborowski

1 month ago

Postdoctoral Researcher in Machine Learning and Process Engineering at Technische Universität Hamburg Technische Universität Hamburg in Germany

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Germany

University

Technische Universität Hamburg

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Keywords

Computer Science
Chemical Engineering
Process Engineering
Data-driven Modeling
Autonomous System
Machine learning

About this position

Technische Universität Hamburg is seeking a Postdoctoral Researcher / Senior Scientist to join the team of Professor Mirko Skiborowski in the field of Process Systems Engineering. The position is embedded within the Collaborative Research Centre CRC 1615 – Smart Reactors, focusing on the intersection of machine learning and process engineering. The successful candidate will have the opportunity to establish and develop a new research group, supervise PhD researchers, and contribute to the next generation of adaptive and autonomous process systems.

Research areas include data-driven and hybrid modeling of chemical and biochemical processes, with a strong emphasis on smart reactors and future process engineering. The collaborative environment of CRC 1615 offers a unique platform for shaping independent research directions while working closely with other experts in the field. Applicants should have a PhD in chemical engineering, process engineering, computer science, or a related discipline, and demonstrate expertise in machine learning, data-driven modeling, and process systems engineering.

The position is fully funded as a postdoctoral or senior scientist role at Technische Universität Hamburg, though specific details regarding salary or contract duration are not provided in the announcement. The call for applications remains open for 10 more days. Interested candidates are encouraged to review the full position details and apply via the official tender link. For more information about the CRC Smart Reactors, visit the project website.

Key research keywords: Machine Learning, Process Engineering, Data-driven Modeling, Hybrid Modeling, Chemical Processes, Biochemical Processes, Smart Reactors, Autonomous Systems.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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