Senior Scientist - Research Group Lead (m/f/d)

Overview

Senior Scientist - Research Group Lead (m/f/d) at Hamburg University of Technology. Remuneration: EG 14 TV-L. Start of employment: 1 December 2025. Application deadline: 8 October 2025. Scope: Full time, fixed-term for three years (extension possible after successful assessment for another three years).

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. A Junior Research Group dedicated to machine learning (ML), automation, and multiscale modeling will support CRC 1615 with state-of-the-art ML tools tailored to experimental and simulation-based subprojects. Anchored at the Institute of Process Systems Engineering, the group will collaborate with application-driven PIs from across the CRC.

Responsibilities

• 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

Qualifications

• University degree in Computational Engineering, Computer Science, Data Science, Chemical Engineering, or a closely related field; doctorate
• Strong publication record and proven research experience in applying machine learning techniques to chemical engineering challenges
• In-depth expertise in model identification, including approaches such as symbolic regression and neural networks
• Experience in data-driven process optimization, including Bayesian Optimization and active learning
• Excellent communication and collaboration skills; demonstrated ability to work independently and lead research activities or teams

Our Offer

• The opportunity to pursue further academic qualification (e.g., habilitation)
• Close integration with a DFG-funded research center and the research initiative Machine Learning in Engineering (MLE)
• Participation in national and international conferences, including options for research stays abroad
• A friendly, supportive, and appreciative working environment
• Intensive induction and onboarding
• 30 days vacation per year

About TU Hamburg and Equal Opportunities

The TU Hamburg emphasizes a family-friendly and sustainable university culture with strong collaboration across institutes. The position is advertised as part of the TUHH women’s promotion initiative. We welcome applications from qualified women and value diversity; all applications are welcome regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity, or social background.

Please send your complete application documents (cover letter, curriculum vitae in table form, proof of completed training and/or university degree, job references or certificates of employment) via the online application system.

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