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:
- Sports Technology & Innovation: Expertise in AR/VR training environments, Wearable IoT, and Sports Digital Twins.
- Sports Management & AI Analytics: Focus on Machine Learning for talent scouting, drafting, and fan engagement economics.
- Human Performance & Neuro-Optimization: Mastery of biomechanics, flow-state engineering, and neural-tracking.
- Sports Medicine & Regenerative Science: Knowledge of Sports Genomics, precision nutrition, and injury prediction via AI.
- 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.
