Assistant Professor / Associate Professor Sports Sciences (multiple areas)

Total number of vacancies: 3

Woxsen University is redefining the landscape of sports education in India. We are seeking visionary academicians and industry-practitioners for our BSc in Sports Science programa curriculum that lives at the intersection of Human Performance, Emerging Tech, and Global Management. The ideal candidate is not a traditional sports instructor but a "Technocratic Scientist" capable of bridging the gap between classical biomechanics and future-ready AI-driven performance analytics.

We are looking for experts who can lead instruction and research in our Dual-Specialization Tracks :

1. Sports Technology & Innovation: Expertise in AR/VR training environments, Wearable IoT, and Sports Digital Twins.
2. Sports Management & AI Analytics: Focus on Machine Learning for talent scouting, drafting, and fan engagement economics.
3. Human Performance & Neuro-Optimization: Mastery of biomechanics, flow-state engineering, and neural-tracking.
4. Sports Medicine & Regenerative Science: Knowledge of Sports Genomics, precision nutrition, and injury prediction via AI.
5. Sports Psychology & Mental Engineering: Advanced mental conditioning and resilience training using immersive tech.

KEY RESPONSIBILITIES

• Interdisciplinary Pedagogy: Deliver a 40% applied-learning curriculum that integrates AI, AR/VR, and Data Analytics into core sports science modules.
• Track Leadership: Mentor students in the "Dual Specialization Advantage," helping them synthesize two of the five emerging tracks.
• High-Impact Research: Conduct empirical research in sports genomics, motion capture, or predictive injury science for publication in Q1/Q2 journals.
• Industry Interface: Leverage Woxsen's 60-acre sports arena ("The League") to conduct live immersion labs and industry-linked consultancy projects.
• Lab Management: Oversee the Sports Analytics, Biomechanics, and AI Robotics labs to ensure students gain hands-on proficiency.

CANDIDATE PROFILE

Assistant Professor:

• Education: PhD in Sports Science, Kinesiology, Sports Management, or related Tech/Science fields from a reputed International or National Institute.
• Experience: 05 years of teaching/industry experience. Candidates with a strong research pipeline or experience in Sports Tech startups are highly preferred.
• Skills: Proficiency in Python, R, or AI tools for sports data is a significant advantage.

Associate Professor:

• Education: PhD with a consistently strong academic record.
• Experience: Minimum of 810 years of experience, with a proven track record of scholarly publications and successful grant applications.
• Leadership: Experience in curriculum design for interdisciplinary programs and mentoring junior faculty.