Job

Preferred: M.Tech./M.E./M.S./BS-MS in Computer Science, Data Science, Artificial Intelligence, or Computer Science and Engineering with a minimum CPI of 6.5, awarded within the last five years.
OR
B.Tech./B.E. in Computer Science and Engineering, Electronics and Communication, Electrical, Instrumentation, or allied disciplines with: A minimum CPI of 6.5 and a valid GATE score, OR A minimum CPI of 8.0 from IITs/IISc/IISERs, in which case GATE score is not required.
Desirable Qualifications: Prior research or project experience in image processing, image compression, machine learning, or deep learning will be given preference.

Project Title: LHFIC-Earth: Towards Learned High-Fidelity Image Compression of Earth Observation Data for Onboard Processing
Funding Agency: Anusandhan National Research Foundation (NRF), Government of India
Scheme: SERB Prime Minister's Early Research Grant

Duration:
Initial appointment for 1 year, extendable up to a maximum of 3 years or until project completion, based on performance and availability of funds.

Fellowship:
₹37,000 + HRA per month for the first two years
₹42,000 + HRA per month for the third year

Age Limit:
Upper age limit is 35 years at the time of application. Relaxation in age for SC/ST/OBC/PD candidates will be provided as per Government of India norms.

Candidates will be shortlisted for interview based on their CV, qualifications and experience. Interested candidates are requested to send their application along with a detailed CV, including a list of academic marksheets, publications, awards, research internships, GATE/NET Score Card. Only shortlisted candidates will be called for interview and the candidates are required to attend at their own expenses, no TA/DA will be provided. During interview, the knowledge of candidates will be assessed in the areas of physics, numerical/ computational methods and programming.