Research Associate in Process Mining, Information Systems, and Spatial Data Science
Technical University of Munich
Research Associate Position in Process Mining, Information Systems, and Spatial Data Science
12.07.2026, Wissenschaftliches Personal
About us
The professorship of Information Systems at the TUM Campus Heilbronn, with its focus on Business Process Management (BPM) and Enterprise Architecture (EA), conducts research and teaching at the interface between management and technology. We focus on methods, concepts, and techniques for successfully using information systems and technologies in business processes, developing new business areas, and designing such systems and technologies.
The professorship of Big Geospatial Data Management concentrates on the methodology for the acquisition, or-ganization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support com-putational thinking and computational problem-solving across the Earth sciences at a large scale.
Project description
In this position, you will contribute to a pioneering research project that aims to establish the first holistic frame-work for Sustainability-aware Event Data Engineering for global logistics. It will (1) enrich ERP process logs with IoT, geospatial, and environmental data to quantify sustainability impacts, (2) generate high-fidelity synthetic sustainability-aware event logs for benchmarking and validation, and (3) build a high-performance analytics plat-form that combines logistics trajectories with real-time traffic, weather, and topography data.
Your responsibilities
- Research related to the topics of the project and beyond in an interdisciplinary context in close collaboration with the professorships
- Taking a leading role in pursuing the objectives of the project by proactively developing solutions
- Regular publication and presentation of research results in peer-reviewed journals and conferences
Your qualifications
- Completed master’s degree in mathematics, computer science, information sciences, physics, geoinformat-ics, data science, or related fields
- Ability to work independently, willingness to learn and acquire new skills
- Interest in working in a highly international research team
- A background in modern data science is required
- Very good programming skills (Python, C++, etc.) are essential
- Fluent English language skills (written and spoken) are required; German is a plus
Our offer
- A full-time position (100 %, TVL-E13) as a research associate for 3 years, located in the TUM campus Otto-brunn.
- Participation in visionary research projects
- The opportunity to contribute to an overarching mission of TUM: to build up the new campus in Heilbronn, where the chair of Information Systems is located, and to build up the new campus in Ottobrunn, where the professorship of Big Geospatial Data Management is located.
- The opportunity to pursue a doctoral degree
- Access to a modern and international workplace with a close connection to the research institutes and indus-try
Your application
We strive to raise the proportion of women in our workforce and explicitly encourage applications from qualified women. Applications from disabled persons with essentially the same qualifications will be given preference.
If you are interested in working with our team, please send your application, consisting of a motivation letter, cur-riculum vitae, copies of your degrees and transcripts, employment certificates, and any other relevant docu-ments, as a single PDF file to applications.bgd@ed.tum.de no later than 1 September 2026. The envisaged starting date is between October and December 2026.
As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data during the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm that you have read and understood the data protection information provided by TUM.
Technische Universität München
Professorship Big Geospatial Data Management
Prof. Dr. Martin Werner
Lise-Meitner-Str. 9, 85521 Ottobrunn
applications.bgd@ed.tum.de
www.bgd.ed.tum.de
www.tum.de
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