Postdoc Position in Advanced Analytics m/w/d

Postdoc Position in Advanced Analytics m/w/d

Join to apply for the Postdoc Position in Advanced Analytics m/w/d role at Technische Universität München (Technical University of Munich)

About Us

The Chair of Advanced Analytics in Manufacturing Management is part of the Heilbronn Data Science Center and the TUM School of Management at the TUM Campus Heilbronn. We look for a full‑time position (100%) for an initial period of three years from April 2026 or earlier. The TUM Campus Heilbronn is part of the renowned Technical University of Munich, one of the top universities in Europe. It is distinguished by excellence in research and teaching, interdisciplinarity, and talent development.

Research focus and tasks of the Postdoc position

• Multistage planning under uncertainty (e.g., aggregation/disaggregation in dynamic programming, decompositions, stochastic programming, competitive analysis, hybrid combinatorial and AI solution approaches)
• Integrated supply chain planning (topical side: variants of production routing problem, flexible job shop problem; methodological side: advanced decomposition algorithms, customized constraint propagation techniques, hybrid combinatorial and AI solution approaches)

Additionally, you will be involved and collect experience in supervision of PhD students, teaching, and further academic and administrative affairs of our professorship.

Your profile

• PhD in Operations Research, Data Science, Applied Mathematics, or a related field
• Proven publication track in highly-ranked relevant scientific journals and conference proceedings
• Completed Master’s degree in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, Data Science or a related field
• Strong mathematical and analytical skills for model formulation, optimization, and problem analysis
• Strong programming skills (e.g., in Python, C++, or other programming language)
• Experience in working with off‑the‑shelf optimization software, such as Gurobi or IBM ILOG CPLEX
• Strong motivation and ability to conduct independent scientific research
• Excellent communication skills in English (both written and spoken)
• Excellent organizational skills
• Proficiency in the German language is an advantage but not required
• High motivation and enthusiasm for working in an interdisciplinary research environment
• Interest and ability to lead PhD students and closely engage in high-profile international collaborations
• Financial support for participation in leading international conferences and workshops

We offer

• Self‑determined work related to interdisciplinary research projects
• Opportunities to engage in high‑profile international scientific collaborations
• Access to advanced training opportunities and opportunities for academic career development
• Access to case studies, collaborations with industry experts, and demonstrations
• A diverse and inclusive working environment
• The opportunity to work in a vibrant scientific environment
• A modern well‑equipped office on the Bildungscampus Heilbronn, incl. amenities such as kitchen and shower
• Possibility to partly work from home
• Technical equipment and necessary software applications and subscriptions
• Access to advanced training opportunities for professional development

Application process

We look forward to receiving your application documents (one‑page letter outlining your motivation and research plan, diploma, transcripts of records, CV, two most significant publications or working papers, IELTS/ TOEFL/GRE certificates if available, other certificates) by December 15, 2025 , as a single PDF document via e‑mail to (contact person: Ms. Elke Kröber) using the subject "Postdoc Advanced Analytics" . If you apply by post, please send the copies only, as we will unfortunately not be able to return your application documents once the process has been completed.

Eligibility and diversity statement

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women.

Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV‑L) up to a classification in pay group 13 with appropriate qualifications.

Note on data protection

By submitting your application, you confirm that you have taken note of TUM's data protection information. © 2025 TUM. All rights reserved.

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