TU Clausthal welcomes new professor for discrete optimization!

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Clausthal University of Technology welcomes Prof. Dr. Tillmann as the new professor of discrete optimization - a step towards fully filling the mathematics professorships.

Die TU Clausthal begrüßt Prof. Dr. Tillmann als neuen Professor für Diskrete Optimierung – ein Schritt zur Vollbesetzung der Mathematikprofessuren.
Clausthal University of Technology welcomes Prof. Dr. Tillmann as the new professor of discrete optimization - a step towards fully filling the mathematics professorships.

TU Clausthal welcomes new professor for discrete optimization!

The Clausthal University of Technology has announced the appointment of Prof. Dr. Andreas Tillmann took a significant step in the academic landscape of mathematics. TU President Dr.-Ing. Sylvia Schattauer expressed her delight at this decision and emphasized the goal of filling all professorships in the mathematics department. Prof. Tillmann is now responsible for the Professorship of Discrete Optimization, which he has held since February 2025, and brings extensive experience from various positions.

Prof. Tillmann completed his studies in financial and business mathematics at the Technical University of Braunschweig and graduated with a diploma in 2009. In 2013 he received his doctorate from the Technical University of Darmstadt. He then gained valuable experience during his postdoc positions at several renowned institutions, including TU Darmstadt, RWTH Aachen and TU Braunschweig. His research activities primarily include theoretical and practical aspects of (discrete) optimization as well as applications in signal and image processing, machine learning and operations research.

Academic background

Prof. Tillmann's academic career is characterized by continuous training and research. After taking on a substitute professorship for mathematical optimization at the TU Braunschweig in the winter semester of 2014/15, he was a junior group leader at the Chair of Operations Research and Visual Computing Institute at RWTH Aachen from 2017 to 2019. During his research stay as a visiting researcher at the CERC Data Science for Real-Time Decision Making at the Polytechnique Montréal, he expanded his expertise in the field of data science.

After his return, he joined the Institute for Mathematical Optimization at the TU Braunschweig as a postdoc. In the summer semester of 2023 and the current winter semester, he taught as a substitute professor for discrete optimization at Clausthal University of Technology before finally taking over the professorship. His current research interests include complexity in compressed sensing and machine learning, which underlines the increasing relevance of these topics.

Research and teaching activities

In his role at TU Clausthal, Prof. Tillmann plans to offer basic lectures on optimization and mathematics as well as specialized lectures for master's programs, especially in the areas of business and industrial mathematics. In addition, he will lead seminars and supervise theses for bachelor's and master's students.

The research group he leads will focus on the complex challenges of discrete optimization, particularly as it relates to mixed-integer problems. Active participation in the development of new optimization methods is considered essential as these are increasingly in demand in various application areas, including signal processing and machine learning.

RWTH Aachen University, where Prof. Tillmann previously worked, is currently planning to advertise ten doctoral positions in mathematics in order to promote further talent in areas such as algebra, analysis and optimization. The positions are endowed with 75% TV-L 13 and are aimed at applicants with an interest in teaching and didactic skills, which underlines the ongoing need for qualified mathematicians in the academic and business world. This creates a framework in which Prof. Tillmann's future work at Clausthal University of Technology can also be embedded.

With this appointment, Clausthal University of Technology not only allows a new beginning in the teaching and research landscape, but also sets an example for the strengthening of mathematics as a central discipline in higher education.