PhD in Running Performance Determinants: Field & Lab

Immigration Policy Lab; Zürich; Sur place; CHF 60 000 - 75 000; Plein temps

Avantages offerts par ce poste

State-of-the-art lab facilities

Family-friendly employer

Diversity & Equal opportunities

Climate-neutral sustainability

Résumé du poste

ETH Zurich invites applications for a PhD position focusing on determinants of human performance during running. The role involves designing and running laboratory and field studies, testing new hypotheses and publishing results, with opportunities to test ideas through longitudinal training studies.

You will collaborate across ETH domains, present at conferences, and contribute to teaching and supervision of students in a dynamic, interdisciplinary setting.

Qualifications

• Master’s degree in health sciences, human movement sciences, life sciences, or medicine.
• Solid background in biomechanics with hands-on testing experience.
• Strong foundation in exercise physiology.
• Proficient in R and/or Python coding and statistics.
• Proactive, inquisitive, self-motivated and team-oriented personality.
• Excellent communication and academic qualifications.
• Experience in coaching at different levels is welcome.

Responsabilités

• Design, execute and publish studies on determinants of running performance.
• Collaborate within ETH Domain using new technologies in sports science.
• Present work at national and international conferences.
• Support teaching and co-supervise BSc and MSc students.

Connaissances

Biomechanics

Exercise physiology

R programming

Python programming

Statistics

Teamwork

Communication skills

Coaching experience

Formation

Master’s degree in Health Sciences and Technology, Human Movement Sciences, Life Sciences, or Human Medicine

Outils

R

Python

Description du poste

ETH Zurich invites applications for a PhD position focusing on determinants of human performance during running. The role involves designing and running laboratory and field studies, testing new hypotheses and publishing results, with opportunities to test ideas through longitudinal training studies.

You will collaborate across ETH domains, present at conferences, and contribute to teaching and supervision of students in a dynamic, interdisciplinary setting.