Assistant Professor in Computer and Research Methods in Strength and Conditioning

School of Global Studies, JAIN University; Bengaluru; Presencial; INR 700 000 - 1 100 000; Tempo integral

Resumo da oferta

The School of Global Studies at JAIN (Deemed-to-be University) in Bengaluru invites applications for an Assistant Professor in Computer and Research Methods in Strength and Conditioning. The role blends computational techniques with sports science research, teaching lectures, labs, and supervising projects for undergraduate and postgraduate learners.

The ideal candidate has a strong data analytics background, research design skills, and experience with educational technology.

Qualificações

• Strong foundation in computer applications or data analytics within sports science or related fields.
• Experience with research design, quantitative and/or qualitative methods, and academic writing.
• Ability to deliver lectures, labs, and assessments for undergrad/PG learners.
• Competence with educational technologies and LMS to support teaching.

Responsabilidades

• Design and deliver coursework integrating computational techniques with research methods for sports performance.
• Plan and teach lectures, labs, and seminars; supervise student projects and research.
• Develop learning materials connecting theory with practice; collaborate with colleagues and industry partners.
• Advise students; participate in departmental meetings; contribute to scholarly activities like publishing.

Conhecimentos

Data analytics

Research design

Lecturing

Educational technology

Interdisciplinary collaboration

Communication

Formação académica

Master’s/PhD in related field

Descrição da oferta de emprego

Company Description

The School of Global Studies at JAIN (Deemed-to-be University), in partnership with UCAM Spain, is a multidisciplinary academic school offering globally aligned and industry-integrated programs. It provides practical, career-focused education across domains such as business, artificial intelligence, data analytics, sports performance, hospitality, creative technology, and entrepreneurship. Teaching and learning emphasize hands-on projects, labs, industry collaboration, and international exposure. This approach enables learners to build strong professional skills, gain a global perspective, and graduate with clear career readiness. Faculty members join an innovative environment that values interdisciplinary work and applied learning.

Role Description

The Assistant Professor in Computer and Research Methods in Strength and Conditioning will design and deliver coursework that integrates computational techniques with research methodologies relevant to sports performance and strength and conditioning. The role involves planning and teaching lectures, labs, and seminars; supervising student projects and research; and developing learning materials that connect theory with practical applications. The faculty member will collaborate with colleagues and industry partners to keep the curriculum aligned with current practices, contribute to academic advising, and participate in departmental meetings and school initiatives. Scholarly activities such as conducting research, publishing, and presenting at conferences are encouraged to strengthen the program’s academic profile. This is a contract, on-site role based in Bengaluru.

Qualifications

• Strong foundation in computer applications or data analytics within sports science, strength and conditioning, or related fields.
• Experience with research design, quantitative and/or qualitative methods, and academic writing in sports performance or allied disciplines.
• Ability to develop and deliver clear, engaging lectures, practical sessions, and assessments for undergraduate and/or postgraduate learners.
• Competence in using educational technologies, learning management systems, and digital tools to support teaching and student engagement.
• Master’s degree or PhD in Sports Science, Strength and Conditioning, Exercise Physiology, Data Analytics, Computer Science, or a closely related field.
• Demonstrated research output through publications, conference presentations, or applied projects is highly desirable.
• Strong communication, mentoring, and collaboration skills, with the ability to work in an interdisciplinary and culturally diverse environment.
• Industry or applied experience in strength and conditioning, sports performance analysis, or coaching is an added advantage.