Job Description

Applications are invited for the Senior Project Associate for the MoES funded project under Deep Ocean Mission scheme in the School of Computer Science and Engineering (SCOPE), at Vellore Institute of Technology (VIT), (MoES/PAMC/DOM/58/2023 (E-14510) Title of the Project : Design and Development of Machine Learning Models and Expert System for Automated Characterization of Underwater Species: Indian Scenario Qualification : BE/B.Tech(CSE/IT/ECE/EEE) with Four years’ experience in Research and Development in Industry and Academic Institutions or Science and Technology Organizations and Scientific activities and Services OR Doctoral Degree in Engineering/Technology/MS from a recognized University/Equivalent Describe if any Candidates who have knowledge in programming, app development, image processing, full stack development, machine learning, deep learning and computer related field will be given preference Stipend : Rs. 42,000/- per month (as per eligibility) + HRA (as per norms) Sponsoring Agency : Ministry of Earth sciences, Government of India, New Delhi . Duration : 24 Months Principal Investigator : Dr. Swathi J N, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Co-Principal Investigator : Dr. Boominathan P, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Dr. Shashank Mouli Satapathy, Professor School of Computer Science and Engineering, Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Send your resume along with relevant documents pertaining to the details of qualifications, scientific accomplishments, experience (if any) and latest passport size photo etc. on or before ( 5/6/2025) through online http://careers.vit.ac.in No TA and DA will be paid for appearing the interview. Shortlisted candidates will be called for an interview at a later date which will be intimated by email. The selected candidate will be expected to join at the earliest.