Senior Project Associate

Krea University; Tirupati; On-site; INR 469,000 - 562,000; Full time

Job summary

Krea University in Sri City invites applications for the position of Senior Project Associate on the ISRO RESPOND project titled “Large and small-scale ionospheric plasma irregularities using airglow imaging and GNSS TEC measurements“. The project is a two-year collaboration with Physical Research Laboratory (PRL) to develop low-cost imagers and ML-based data analysis to study ionospheric irregularities.

The candidate should have a strong background in machine learning, physics, and data

Qualifications

• Four years of research and development experience in industry or academia.
• MSc/BS-MS/BE/BTech in CS/Data Science/Physics/Geophysics or related field.
• ME/MTech/Integrated Masters in CS/Data Science/Space Science and two years of experience.
• PhD in CS/Space Physics/Atmospheric Sciences/Geosciences or related discipline.

Responsibilities

• Assist in gathering and analyzing datasets for the project.
• Develop machine learning and data analysis algorithms to process imaging data.
• Support overall administrative and research activities of the project.
• Collaborate with Krea University and PRL on data integration and study design.

Skills

Machine learning

Space plasma physics

Atmospheric science

Python

MATLAB

Education

MSc / BSc (Honours) / BE / BTech in CS/DS/Physics/Geophysics

ME/MTech / Integrated Masters in CS/DS/Space Science

PhD in CS / Space Physics / Atmospheric Sciences

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:

Interested candidates may apply by sending a single PDF file containing their cover letter, detailed curriculum vitae, and scanned copies of marksheets and certificates to [e-mail] with the subject line ‘Application for Senior Project Associate in ISRO RESPOND project’.

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

• Deadline: 13 September 2026

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