Deep Learning - Associate Professor Vacancy in Udupi, Karnataka
Shri Madhwa Vadiraja Institute of Technology & Management
Job Description
Job Overview
Shri Madhwa Vadiraja Institute Of Technology & Management invites applications for the ASSOCIATE PROFESSOR Deep Learning Position in Udupi, Karnataka. The Department of Computer Science and Engineering houses a strong research group in artificial intelligence, with active projects in neural networks, computer vision, and natural language processing. The institute has collaborations with industries in Bengaluru and Mangaluru, ensuring real-world relevance of academic work.
What You Will Do
Teach undergraduate and postgraduate courses in Deep Learning, Machine Learning, and Artificial Intelligence at Shri Madhwa Vadiraja Institute Of Technology & Management. The ASSOCIATE PROFESSOR Deep Learning Job in Udupi requires designing syllabi aligned with current research trends and industry needs. Lead laboratory sessions on TensorFlow, PyTorch, and CUDA programming for hands-on student learning.
Engage in high-impact research in Deep Learning applications such as healthcare diagnostics, autonomous systems, or financial forecasting. Publish findings in peer-reviewed journals indexed in Scopus and Web of Science. Contribute to funded projects under the institute’s AI research cluster to strengthen its reputation.
Guide final-year B.Tech and M.Tech students in their capstone projects and dissertations. Supervise doctoral candidates pursuing Ph.D. in Deep Learning at Shri Madhwa Vadiraja Institute Of Technology & Management. Serve on academic committees and represent the department in national conferences.
Eligibility Criteria
Ph.D. in Computer Science, Electronics, or related field with specialization in Deep Learning is mandatory for the ASSOCIATE PROFESSOR Deep Learning Vacancy in Udupi. Post-doctoral research or industry experience in AI labs is strongly preferred. Candidates with UGC-NET with JRF or CSIR-NET qualification will receive preference during selection.
Minimum four years of teaching or research experience in an AI-related domain is required. Prior experience in curriculum development for Deep Learning courses is desirable. Familiarity with MOOC platforms and NPTEL courses will be considered an asset.
Research Opportunities
Shri Madhwa Vadiraja Institute Of Technology & Management offers collaborative research projects with government agencies and private partners in Karnataka. Faculty can apply for seed grants under the institute’s AI innovation fund to support prototype development. Opportunities exist to publish in journals like IEEE Transactions on Neural Networks and Pattern Recognition.
The department maintains ties with IITs and NITs for joint research initiatives. Researchers can participate in hackathons and tech fests organized by the institute to showcase innovations. Access to high-performance computing clusters is provided for large-scale Deep Learning experiments.
Ph.D. Supervision
As an ASSOCIATE PROFESSOR in Deep Learning, you will guide doctoral students through their thesis journey at Shri Madhwa Vadiraja Institute Of Technology & Management. Responsibilities include formulating research problems, conducting literature reviews, and monitoring progress. You will also serve as an examiner for Ph.D. vivas conducted by other universities.
Faculty members are expected to publish at least two papers annually in Scopus-indexed journals. Supervising interdisciplinary projects combining Deep Learning with robotics or biomedical engineering is encouraged. The institute supports attendance at international conferences for presenting supervised work.
What You Get
The ASSOCIATE PROFESSOR Deep Learning Position in Udupi, Karnataka offers a consolidated salary between Rs.50,000 and Rs.65,000 per month as per UGC norms. Additional research grants are available for attending conferences and conducting experiments.
Housing assistance and medical benefits are provided to full-time faculty. Access to institutional library resources and online journals is included. Opportunities for sabbaticals and visiting scholar programs at partner institutions are available.