IISER Pune Post-Doctoral Fellow Recruitment 2026 | 1 Vacancy

This role is ideal for recent Ph.D. graduates or candidates who have submitted their thesis in Computer Science, Meteorology, or related quantitative fields, possessing a strong academic background and a keen interest in advanced research. Candidates with hands-on experience in Python for data analysis (PyTorch, scikit-learn), meteorological dataset handling, and numerical weather model analysis are highly preferred. It suits individuals eager to contribute to cutting-edge deep learning research in atmospheric physics within a collaborative academic environment.

Candidates without a Ph.D. or thesis submission in the specified or related quantitative fields should not apply, as this is a fundamental eligibility requirement. Those seeking a permanent government position should also note that this is a purely temporary and contractual role for a period of one year, extendable based on performance. Individuals primarily looking for administrative roles or lacking a strong research aptitude in deep learning and atmospheric science would find this unsuitable.

IISER Pune is an Institute of National Importance, offering a highly prestigious research environment in basic sciences. This Post-Doctoral Fellow position provides an excellent opportunity for early-career researchers to engage in high-impact, state-of-the-art research in deep learning and atmospheric physics. While the position is temporary, it offers invaluable experience and a strong foundation for a career in academia or advanced research, enhancing one's profile within the scientific community.