Research Associate (m/f/d) - Wissenschaftliche*r Mitarbeiter*in Technische Universität Hamburg (TUHH)
Research Associate (m/f/d) -
Wissenschaftliche*r Mitarbeiter*in
Institute of Innovation Marketing
Remuneration EG 13 TV-L
ID: 10726WW3
Start of employment: 01/10/2026
Application deadline 20/05/2026
Scope full time and fixed term until 30/09/2029
Would you like to help ensure that scientific findings have a stronger impact on business and society? Are you interested in AI-based tools that connect research results and technological developments with applications? Would you like to explore these technology transfer topics as part of a PhD project within an international consortium?
This position involves working in a research project with partners from several countries to transfer scientific findings and technological developments into meaningful applications. A central focus is the use of AI-based tools that systematically link research with needs arising from business, industry, and society. In addition, the project promotes cross-institutional collaboration for technology transfer in order to make better use of the technological potential of universities.
This position offers the opportunity to pursue a doctoral thesis in an international research environment and to contribute to university teaching. The position will be based at the Institute of Innovation Marketing at TU Hamburg, where you will be part of a dynamic and interdisciplinary research team.
YOUR TASKS
- Work in an international research project on new approaches to knowledge and technology transfer from universities
- Support the privacy-compliant integration of university research and innovation data from different sources
- Contribute to the development and support the testing of AI-based tools that help translate research results into applications
- Present the results at international conferences and publish in academic journals
- Integrate research findings into university teaching
YOUR PROFILE
Requirements
- Completed university studies (master degree or equivalent), in particular in Business Administration, Industrial Engineering, Computer Science, or Data Science (minimum grade of 2.5 according to the German grading system)
Desired knowledge and personal skills
- Very good written and spoken English
- Knowledge and experience of Machine Learning and Artificial Intelligence
- Knowledge of empirical research methods and data analysis
- Experience of technology transfer
- Interest in interdisciplinary and international collaboration and in research-based academic teaching
OUR OFFER
- Scientific qualification with the opportunity to pursue a PhD
- A job in an interesting, friendly and appreciative working environment
- Intensive induction/onboarding
- Possibility of mobile working
- Flexible and family-friendly working conditions
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 striving 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 Anke Bohne, phone +49 40 30601 4515,
email: anke.bohne@tuhh.de.
We value diversity; therefore,0 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 equal opportunities as well as for appreciative and respectful cooperation.
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 severely disabled persons and people with equal status.
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).
Kennziffer
10726WW3
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