Senior Scientist Postdoc/Research Group Lead
TUHH - Hamburg University of Technology
Hamburg, Germany
The Collaborative Research Center (CRC) 1615 "SMART Reactors for Future Process Engineering" aims to develop reactors that autonomously and sustainably convert renewable feedstocks into a wide variety of products. To contribute to this vision, we are establishing a Junior Research Group dedicated to machine learning (ML), automation, and multiscale modeling, focussing on material and process development. This group will aid the CRC 1615 with state-of-the-art ML tools tailored to the diverse needs of experimental and simulation-based subprojects. Anchored at the Institute of Process Systems Engineering, the group will collaborate closely with application-driven PIs from across the CRC. By identifying structurally similar problems and cross-cutting use cases, the group will transfer developed methods and insights throughout the center.
YOUR TASKS
- Development and adaptation of cutting-edge machine learning methods tailored to CRC 1615 use cases
- Coordination of collaborative research activities and scientific integration across CRC subprojects
- Scientific guidance of PhD students within the group
- Development of teaching materials and establishment of a new course in Scientific Computing and Machine Learning in Chemical Engineering
- Preparation of high-quality scientific publications and presentations
YOUR PROFILE
Requirements
- University degree in the subject of Computational Engineering, Computer Science, Data Science, Chemical Engineering, or a closely related field, doctorate
Required knowledge and personal skills
- Strong publication record and proven research experience in multi-scale modeling and machine learning techniques to chemical engineering challenges
- In-depth expertise in model identification, applying e.g. approaches such as symbolic regression and neural networks
- Experience in applied process optimization, for materials and process development e.g. Bayesian Optimization and active learning
- Excellent communication and collaboration skills; demonstrated ability to work independently and lead research activities or teams
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