Scientific employee in artificial intelligence in sport and sport sciences
Openness and diversity characterize not only the collaboration in research and teaching, but also in technology and administration.
The position is to be filled in the Faculty of Arts and Sport Sciences in the Institute of Sport and Sport Science and is to be filled as soon as . Remuneration is in accordance with the collective agreement regulations according to pay group E 13 TV- L.Employment on a part-time basis or reduction to part-time is pos- . The position to be filled in aimed at obtaining a "Doctor" title within reasonable time. At the Institute for Sport and Sport Sciences, we are pioneering work at the intersection of machine learning, health data science, wearable activity tracking, and the measurement of physical behavi- ors.
You will join JProf. Dr. Vahid Farrahi's group (website:
vahid.far- rahi.science) to engage in both research and teaching within the field of data science and analytics. Our particular research focus is on un- covering the link between 24-hour activity, sedentary behavior, and . In addition to research, you will teach data science and machine lear- ning to international students from diverse backgrounds, including .You are the perfect candidate if you enjoy research and evidence-ba- . YOUR TASKS: o Exploring the applications of data-driven and machine lear- ning methods (including both deep learning and traditional approaches) for making sense of large-scale data obtained from wearable activity trackers.
o Contribute to teaching activities (2 SWS) for our English- . This will in- . o Writing research papers and your doctoral thesis o Collaborating actively with other team members working in the same projects or on similar topics WE OFFER- o The support of experienced and enthusiastic machine lear- ning experts and sport scientists where you can share your . o Team-oriented cooperation in a committed, international, . o A modern equipped workplace in a new building expected to be completed in 2024 with fair and flexible working hours o Cutting-edge facilities for human movement analysis inclu- . YOUR QUALIFICATION : o We are looking for an enthusiastic, self-motivated scientific employee with strong interests in data-driven health and . o A recent MSc degree in artificial intelligence, biomedical engineering, data science, statistics, health sciences, in- formation technology, computer sciences or other relevant fields with good grades.
The degree must be completed . o Experience and background in signal processing, machine learning, and deep learning through research or course work o Solid knowledge of programming in Python and R, espe- . o Desire and demonstrated ability to take part in teaching . o Fluent written and oral English skills and good communica- tion skills, as well as strong communication and teamwork . THE FOLLOWING IS VIEWED POSITIVELY:
o Experience in working with population-based studies. o Experience in health wearables, particularly wearable ac- . o Experience in scientific publishing o Capability to do research or teaching independently
We promote diversity and equal opportunities.
Convince us with your . Applications from woman will be given preferential treatment in accordance with the legal regulations.
Are you interestedl Then please send us your application (cover let- ter, CV, previous degrees, transcript of records and contact infor- .01.2025, quoting the reference number w64-24 to: Technische Universität Dortmund Institut für Sport und Sportwissenschaft /Sekretariat Otto-Hahn-Straße 3 44227 Dortmund For further questions please contact:
JProf.
Dr. Vahid Farrahi .Farrahi [at] tu-dortmund.de ) Scientific employee in artificial intelligence in sport and sport sciences- Computer Science - Informatique - Informatik
- Sport - Sport - Sport
- Reference: jobs.myscience.de/id201859