Postdoctoral researcher (m/f/d) / wissenschaftlicher Mitarbeiter (m/w/d)

For the Institute of Algorithms and Complexity at the Hamburg University of Technology for the earliest possible date, we are looking for a postdoctoral researcher (m/f/d) / wissenschaftlicher Mitarbeiter (m/w/d) full time and for a maximum of 31 months. The remuneration is in accordance with TV-L E14.

No.: 8524WE11

At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions.

With currently around 7,500 students, 110 professors and 1,600 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.


  • Research in the field of algorithms, discrete and combinatorial optimization and operations research with applications in data science in the natural sciences
  • Supervision of undergraduate and graduate student theses
  • Support for the courses offered by the Institute for Algorithms and Complexity
  • Participation in selected research projects and the curriculum of "DASHH - Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter"


  • University studies completed with above-average success, in particular in the field of computer science with a focus on theoretical computer science, in the field of mathematics with a focus on optimization or discrete mathematics, in the field of operations research or similar.
  • Above-average, completed doctorate related to the teaching or research areas of the Institute for Algorithms and Complexity
  • Experience in publishing research results in publications at relevant computer science/mathematics conferences and their presentation, or publications in relevant journals
  • Interest in complex optimization problems motivated by data science and skill in solving them algorithmic techniques, especially approximation algorithms, parameterized algorithms and integer programming
  • Very good communication skills for project meetings, reports, publications and presentations


  • We offer you the opportunity for scientific qualification.
  • Integration into the DASHH – Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter. 
  • Participation in current research projects and publications in the field of algorithms and mathematical optimization with applications in data science
  • Integration into an excellent national and international research network
  • Opportunity to train presentation skills within the framework of university events and participation in (inter)national conferences and workshops
  • Cooperation in a motivated and young team in an international environment at the renowned Hamburg University of Technology.

For further information please contact Prof. Dr. Matthias Mnich by e-mail at algo@tuhh.de.

We particularly encourage women to apply. Due to their underrepresentation, they will be given priority incases of equal suitability, qualifications and professional performance.

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

We look forward to receiving your online application by 19.04.2024.

Click here to apply

Notice for graduates of foreign educational qualifications:

Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).