Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Marburg
- Working Model
- Onsite
Job Summary
In this professorship, you will develop innovative data science methods in the field of sports and health, enhance the analysis of multimodal data, and apply machine learning for decision support.
Your role in the team
- The professorship represents the field of Data Science in Sports and Health in research and teaching.
- It is conceived as a methodologically oriented cross-sectional professorship within sports science and motology and serves to sustainably embed data science methods.
- The focus is on the development and application of innovative methods in statistics, machine learning, and artificial intelligence to support data-driven decision-making in sports, movement, health, and medical contexts.
- The person to be recruited should preferably pursue at least one of the three main areas: development and application of pattern recognition methods in multimodal movement and health data (e.g., wearables, video, image, questionnaires, interview data, clinical data), development and application of simulation and forecasting models in sports, movement, and health contexts, including medically compatible prevention, rehabilitation, and care contexts, also e.g., through augmented reality and visual analytics, development and application of edge and wearable computing, including real-time analysis, algorithmic efficiency, and validation of non-invasive measurement systems.
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Our expectations of you
Education
- A completed academic university degree in Sports Science, Mathematics, Computer Science, or a related relevant field, an outstanding doctorate, and a special pedagogical aptitude are prerequisites.
- A connection to at least one focal topic of the Department of Educational Science and Sports Science and a profile area of Philipps University of Marburg, as well as a commitment to the promotion of early career researchers, are desirable.
- We also welcome active participation in interdisciplinary and university-wide research consortia as well as the willingness to take on responsibilities in academic self-administration.
Qualifications
- Furthermore, you possess internationally recognized expertise in the fields of Data Science, Statistics, or Machine Learning or Artificial Intelligence with a clear connection to sports, movement, health, and medicine.
- You demonstrate this through relevant international peer-reviewed publications and conference activities.
- Furthermore, the conceptual development of the degree programs at the Institute of Sports Science and Motology as well as the conduct of English-taught courses in both departments are desired.
Experience
- Experience in successfully securing third-party funding, university teaching experience, as well as interdisciplinary research experience or collaborations, are expected.
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What we offer
- The Philipps University, founded in 1527, offers award-winning teaching for around 22,000 students and addresses important issues of our time through excellent research across various scientific disciplines.
- The employment prerequisites are governed by Sections 67 and 68 of the HessHG.
- Philipps University places great importance on intensive support for students and doctoral candidates and expects faculty to have a strong presence at the university.
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Benefits
Work-Life-Integration
Topics You Will Work On
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About Your Employer
Philipps-Universität Marburg
Founded in 1527, Philipps-Universität is one of the most traditional universities in Germany. With around 25,700 students, it makes up more than a quarter of Marburg's population, and besides a scientific campus outside the center, many institutes and research facilities are spread throughout the city center. Even today, the literary saying goes: "Other cities have a university, Marburg is one."
Description
- Founding Year
- 1527
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Employer reviews
by devworkplaces.com
Total
(1 Review)2.7
Culture
2.6Workingconditions
3.2Engineering
2.5Career Growth
2.7
Professorship for Data Science in Sports and Health
- Location
- Marburg
- Working Model
- Onsite
- Diversity
- Open for all genders
