Senior Project Associate

Krea University; Tirupati; On-site; INR 438,000 - 593,000; Full time

Benefits offered by this job

On-site at Sri City campus

Collaboration with PRL

Job summary

Krea University invites applications for a Senior Project Associate under the ISRO RESPOND project at the Sri City campus. The role collaborates with PRL to develop low-cost imagers and ML-based data processing for ionospheric studies, with a focus on GNSS TEC integration.

Candidates should have a strong background in machine learning, physics, and data handling, and will contribute to dataset gathering and interdisciplinary research activities within a two-year project.

Qualifications

• Four years of research and development experience in industrial or academic institutions or science and technology organizations.
• Experience with machine learning methods and data analysis is desirable.
• Knowledge of Python and MATLAB programming is desirable.

Responsibilities

• Develop low-cost imagers for observing ionospheric irregularities in airglow lines.
• Develop ML-based automatic data analysis and sequestration algorithms.
• Gather, analyze datasets, and support administrative and research activities of the project.

Skills

Machine Learning

Deep Learning

Python

MATLAB

Data analysis

Fundamental Physics

Education

M.Sc./BS-MS/4-year B.Sc (Honours)/B.E./B.Tech in CS/DS/Physics/Atmospheric Science/Geophysics

M.E./MTech./Integrated Masters in CS/Data Science/Space Science and Technology/Instrumentation

Ph.D. in CS/Space Physics/Atmospheric Sciences/Geosciences

Job description

Applications are invited for the position of Senior Project Associate under ISRO RESPOND project titled Large and small-scale ionospheric plasma irregularities using airglow imaging and GNSS TEC measurements.

This is a two-year project involving collaboration between Krea University and Physical Research Laboratory (PRL).

The primary work location would be Krea University campus in Sri City.

The aim of the project is to develop low-cost imagers to capable of observing ionospheric irregularity structures in the faint oxygen airglow lines emanating from the thermosphere-ionosphere region. In addition, machine learning based automatic sequestration and data analysis algorithms should be developed to process the images. These datasets will be invaluable to study the large-scale ionospheric plasma irregularities and they will be co-studied using existing GNSS TEC measurements from Physical Research Laboratory (PRL) and Krea University.

The candidate should possess knowledge of machine learning and deep learning methods, fundamental physics, be passionate about research, assist in gathering and analyzing datasets, and support overall administrative and research activities of the project wherever

required.

Essential Qualifications:

M.Sc./BS-MS/Four-year B.Sc. (Honours)/B.E./B.Tech. in Computer Science, Data

Science, Physics, Atmospheric Science, Meteorology, Space Physics, Geophysics, or a

related discipline and four years of research and development experience in industrial or

academic institutions or science and technology organizations.

(OR)

M.E./ MTech./Integrated Masters in Engineering or Technology in Computer Science,

Data Science, Space Science and Technology, Instrumentation and two years of

experience in industrial or academic institutions or science and technology organizations.

(OR)

Ph.D. in Computer Science, Space Physics, Atmospheric Sciences, Geosciences, or a

related discipline.

Desirable Skills: Knowledge on Machine learning methods, Space Plasma Physics,

Atmospheric Science, Proficiency in Python and MATLAB programming.

• Job Location: Sri City
• Salary: Rs. 42000/- per month + 10% HRA.
• Duration: The initial offer will be for six months and renewable subject to satisfactory performance. The position is temporary and co-terminus with the project with a maximum duration of 2 years.

Application Process:

For any inquiries regarding the project and nature of research, please email [e-mail] (kindly do not send applications to this email id)

• Deadline: 20 October 2026

Only shortlisted candidates will be contacted regarding further examination and interview.