Research Associate
vor 3 Monaten
For the Institute of at the Hamburg University of Technology for the earliest possible date, we are looking for a:
RESEARCH ASSOCIATE (M/F/d) / WISSENSCHAFTLICHER MITARBEITER (m/w/d)
full time, limited to 36 month or part time (50%), limited to 42 month. The remuneration is in accordance with
**No.**: 16924WE21
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.
YOUR TASKS
- Fundamental research on topics relevant to the KiMeKo research project
- Publication of research results in journals and their presentation at relevant computer science / physics / mathematics conferences
- In case of a Ph.D. student, the aim will be to complete a Ph.D. dissertation
YOUR PROFILE
- Very good communication skills in English for publications, lectures and project meetings (C1)
- In-depth knowledge within the following areas is a major advantage:
- Data science, artificial intelligence and/or robotics
- Machine learning (supervised learning, deep neural networks, statistical learning theory, reinforcement learning)
- Strong mathematical background, for instance in at least one of the following fields: probability theory, functional analysis, differential and/or algebraic geometry, information theory, information geometry
- The following knowledge is an advantage:
- Experience in scientific writing of technical articles
- Experience using simulation tools for the implementation of learning rules
- Solid experience in Python, PyTorch and/or TensorFlow programming
OUR OFFER
- Become a member of the Institute for Data Science Foundations, and benefit from excellent supervision and interdisciplinary exchange
- Integrate into an excellent research network with national and international opportunities for collaboration
- Work in a motivated and interdisciplinary team, and develop your soft skills
We particularly encourage women to apply. Due to their underrepresentation in the advertised salary group, women will be given priority in cases of equal suitability, qualifications and professional performance.
**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).
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