Andreas Konrad
3 months ago
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PhD Opportunity in Sport Science: Training, Biomechanics, and Performance Diagnostics University of Graz in Austria
Degree Level
PhD
Field of study
Physiology
Funding
4-year PhD position at 30 h/week at the University of Graz. The post is described as a position rather than a scholarship; no stipend amount, tuition coverage, or other financial details are stated in the post.
Country
Austria
University
University of Graz

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About this position
PhD opportunity in Sport Science at the University of Graz in Austria. The position is a 4-year PhD role (30 h/week) and is suited to a highly motivated candidate interested in training science, movement science, biomechanics, physiology, and performance diagnostics.
The research focus includes resistance training, flexibility training, endurance training, biomechanical and physiological assessment methods, training interventions, and performance diagnostics. The role also mentions research, teaching, and interdisciplinary collaboration, suggesting a strong academic and applied research environment.
Desired background includes a degree in sport science or a related field. Experience with biomechanical or physiological measurement systems is an advantage, and programming skills such as MATLAB are welcome. This is a research position rather than a scholarship announcement, and no stipend amount or tuition details are provided.
Interested applicants should use the application link provided in the post and consult the University of Graz vacancy page for full instructions and requirements.
Funding details
4-year PhD position at 30 h/week at the University of Graz. The post is described as a position rather than a scholarship; no stipend amount, tuition coverage, or other financial details are stated in the post.
What's required
Applicants should have a background in sport science or a related field and a strong interest in training and movement science research. Experience with biomechanical or physiological measurement systems is an advantage, and programming skills such as MATLAB are welcome. The post is for a highly motivated PhD candidate and involves research, teaching, and interdisciplinary collaboration.
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