Research Associate (m/f/d)

Institute for

Remuneration EG 13

ID 15126WE11

Start of employment as soon as possible

Application deadline03.07.2026

Scope fulltime and fixed term until 31.07.2027

The Institute for Algorithms and Complexity is a research institute of the renowned Hamburg University of Technology. It develops efficient methods for solving important computational problems in economics, engineering, and social sciences. It offers students comprehensive training in theoretical computer science. The institute consists of a dynamic, interdisciplinary team that is involved in various national and international scientific collaborations.

Hamburg University of Technology is one of the leading technical universities in Germany, with almost 10,000 students in various engineering subjects. It is part of Germany's national Strategy of Excellence. Its goal is to develop Technology for Humanity.

The institute is located in the newly built Hamburg Innovation Port, which is located right at the Harburg harbour with great views of the harbour and Hamburg's famous opera house (Elbphilharmonie). Several other computer science institutes of the TU Hamburg are located in the area, as well as DASHH - Data Science in Hamburg, the Helmholtz Graduate School for the Structure of Matter, and the German Air and Space Research Center (DLR). They are all located in the Free and Hanseatic City of Hamburg, which is Germany's second largest city, home to a population of about 1.8 million people. It is a famous city of entertainment, trade and commerce, with several universities and much research in algorithms.

YOUR TASKS

• Research on algorithms for combinatorial optimization problems
• Publication of research results in high-impact conference proceedings and journals of mathematics, computer science and operations research
• Modeling and solving real-life optimization problems with industrial and academic partners
• Algorithm engineering
• Commitment to learning and knowledge sharing tasks at the Institute for Algorithms and Complexity

YOUR PROFILE

Requirements

• Completed scientific university studies (masters degree or equivalent), in particular in the subject Mathematics, Computer Science, Operations Research

Desired knowledge and personal skills

• Proficiency in English communication skills (both oral and written) for publications and project meetings (level B2)
• Educational background in algorithm design techniques, e.g., quantum, distributed, parallel, parameterized, approximation, online algorithms
• Interest in combinatorial optimization, mathematical programming, complexity theory, and/or discrete mathematics

OUR OFFER

• A job in an interesting, friendly and appreciative working environment
• Possibility of mobile working
• 30 day vacation per year
• Company pension scheme, capital-forming benefits
• Comprehensive training and further education programs

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 8.000 students, 110 professors and 1.650 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.

For further information please contact Prof. Matthias Mnich, Email: .

We value diversity, therefore all applications are welcome, regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity or social background.

The TU Hamburg stands for as well as

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.

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).