Machine Learning - Assistant Professor Vacancy in Udupi, Karnataka
Shri Madhwa Vadiraja Institute of Technology & Management
Job Description
Role Summary
Shri Madhwa Vadiraja Institute Of Technology & Management is inviting applications for an ASSISTANT PROFESSOR – Machine Learning vacancy in Udupi. The Department of Computer Science and Engineering maintains an active research culture with ongoing projects funded by Karnataka State Council for Science and Technology. Recent publications in IEEE and Elsevier journals have strengthened the department’s reputation in applied machine learning.
Day-to-Day Duties
Teach undergraduate and postgraduate courses in Machine Learning, Deep Learning, and Data Science with a focus on practical implementations. Develop and update curriculum aligned with UGC model syllabi for ASSISTANT PROFESSOR Machine Learning positions in Karnataka universities. Conduct lab sessions using Python, TensorFlow, and PyTorch to ensure hands-on learning for students.
Coordinate industry-sponsored mini-projects that allow students to solve real-world problems using Machine Learning techniques. Supervise final-year B.Tech and M.Tech projects in domains such as computer vision, NLP, and predictive analytics. Organize workshops and guest lectures by experts from companies like Infosys, Wipro, and local startups in Udupi.
Publish research findings in Scopus-indexed journals and present papers at national conferences. Contribute to funded projects under the institution’s TEQIP-III and DST-SERB schemes. Maintain active collaboration with faculty from NIT Surathkal and Manipal Academy of Higher Education.
Required Qualifications
PhD in Computer Science, Machine Learning, or a closely related field is mandatory for the ASSISTANT PROFESSOR Machine Learning position in Udupi. Candidates with post-doctoral research experience in AI/ML will receive preference during selection. UGC-NET with JRF or CSIR-NET qualification is required if the PhD is not completed.
A minimum of one year of teaching or research experience in a university or R&D organization is expected. Familiarity with Kaggle competitions and GitHub repositories demonstrating machine learning models will be considered an advantage. Proficiency in programming languages such as Python, R, and C++ is essential.
Research Opportunities
Shri Madhwa Vadiraja Institute Of Technology & Management offers research funding through internal seed grants and external agencies like AICTE and VGST. Faculty members can lead interdisciplinary projects combining machine learning with healthcare diagnostics, agricultural yield prediction, and coastal monitoring in Udupi district.
Collaborative opportunities exist with institutions under the Visvesvaraya Technological University cluster. Access to high-performance computing clusters is provided for large-scale model training and simulations. Faculty are encouraged to apply for international conferences such as ICML and IJCAI to present their work.
Research Leadership
Guide doctoral students registered under VTU in areas including reinforcement learning and explainable AI. Serve as a member of the Board of Studies to shape new elective courses in Machine Learning. Participate in thesis evaluation committees for PhD scholars across Karnataka universities.
Review manuscripts for journals indexed in Scopus and Web of Science to maintain academic standards. Organize national-level hackathons focused on ethical AI and responsible data science. Mentor student teams for competitions like Smart India Hackathon and ACM India events.
Perks and Pay
The ASSISTANT PROFESSOR Machine Learning vacancy in Udupi offers a consolidated pay package of Rs.30,000 to Rs.50,000 per month as per UGC norms. Additional research incentives are available for publications in Q1 journals and patent filings.
Faculty members receive support for attending conferences, including registration and travel within India. Contributions to sponsored projects are recognized through performance-linked bonuses. Housing assistance and medical benefits are provided as per institutional policy.
The role is full-time and located on the scenic campus near Udupi, close to the Arabian Sea and Malnad region. Professional development funds are allocated annually for attending advanced courses in AI and cloud computing platforms.