Post-Doctoral Fellow Recruitment 2026 at IISER Pune – Computer Science & Meteorology

Postdoc Positions
POSTED ON
21/08/2026

Post-Doctoral Fellow Recruitment 2026 at IISER Pune – Computer Science & Meteorology

The Indian Institute of Science Education and Research Pune (IISER Pune) invites applications from eligible Indian nationals for 01 Post-Doctoral Fellow position on a purely temporary and contractual basis. The opportunity is suited to researchers with expertise in Computer Science, Meteorology, quantitative methods, Python, machine learning and weather/climate data analysis.


Position Overview

Particulars

Details

Institute

Indian Institute of Science Education and Research Pune (IISER Pune)

Position

Post-Doctoral Fellow

Number of Posts

01

Advertisement No.

70/2026

Advertisement Date

20 August 2026

Appointment Type

Purely Temporary and Contractual

Research Areas

Computer Science, Meteorology, Quantitative Methods, AI/ML & Weather Modelling

Remuneration

Not visible in the provided advertisement excerpt

Duration

Not visible in the provided advertisement excerpt

Application Deadline

Not visible in the provided advertisement excerpt

Location

Pune, Maharashtra, India


Research Focus

The position involves research at the intersection of meteorology, computational methods, artificial intelligence and data-driven weather modelling.

Relevant research areas include:

  • Meteorological data analysis

  • Numerical weather modelling

  • Global circulation models

  • Artificial Intelligence-based weather models

  • Machine Learning and quantitative analysis

  • Computational approaches to atmospheric and weather processes


Essential Qualifications

Candidates should possess:

  • Ph.D. in Computer Science, Meteorology, or another relevant quantitative discipline.

Candidates who have submitted their Ph.D. thesis may also apply.


Desirable Qualifications

Preference will be given to candidates having experience in one or more of the following areas:

  • Strong experience with Python

  • Experience with data-analysis libraries and frameworks, particularly:

    • PyTorch

    • scikit-learn

  • Experience handling meteorological datasets

  • Prior experience analysing meteorological processes using:

    • Numerical Weather Models

    • Global Circulation Models

    • AI-based Weather Models

  • Machine Learning and data-driven modelling

  • Quantitative scientific computing and analysis


Key Responsibilities

The selected Post-Doctoral Fellow is expected to contribute to research activities involving:

  • Analysis and processing of meteorological datasets.

  • Application of Python-based computational and machine-learning methods.

  • Development and evaluation of data-driven weather and atmospheric models.

  • Analysis of meteorological processes using numerical or AI-based modelling frameworks.

  • Scientific research, data interpretation and preparation of research outputs.

  • Collaboration with project investigators and other researchers.


How to Apply

Interested and eligible candidates should apply according to the procedure prescribed in IISER Pune Advertisement No. 70/2026.

Candidates should keep relevant documents ready, including:

  • Updated Curriculum Vitae (CV)

  • Ph.D. degree certificate or proof of thesis submission

  • Academic certificates and mark sheets

  • Research experience details

  • Publication list

  • Relevant programming / computational research experience

  • Other supporting documents prescribed by IISER Pune

Applicants should refer to the complete official advertisement for the application form/link, deadline, fellowship, tenure and selection procedure.


Important Dates

Event

Date

Advertisement Date

20 August 2026

Application Deadline

Refer to the complete official advertisement

Interview / Selection Date

To be notified by IISER Pune


About IISER Pune

Indian Institute of Science Education and Research Pune (IISER Pune) is an Institute of National Importance dedicated to high-quality education and research in the basic sciences and interdisciplinary areas. The Institute supports advanced research spanning science, computation, data-driven methods and emerging technologies.

Official Website: https://www.iiserpune.ac.in/

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