Research Associate / Wissenschaftliche*r Mitarbeiter*in at the Institute of Innovation Marketing

Research Associate (m/f/d) – Wissenschaftliche r Mitarbeiterin

Institute of Innovation Marketing

Remuneration: EG 13 – TV‑L

ID: 10726WW3

Start of employment:

Application deadline:

Scope: full time and fixed term until

Overview

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 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

Diversity Statement

• 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 equal opportunities as well as appreciative and respectful cooperation.