Junior Research Fellow (JRF) Recruitment 2026 at NIT Karnataka Surathkal – ANRF Funded UAV Computer Vision Research Project

Junior Research Fellow (JRF) Recruitment 2026 at NIT Karnataka Surathkal – ANRF Funded UAV Computer Vision Research Project

Position Overview

About the Opportunity

The National Institute of Technology Karnataka, Surathkal (NITK Surathkal) invites applications from eligible Indian nationals for one Junior Research Fellow (JRF) position under an ANRF-funded research project in the Department of Mathematical and Computational Sciences.

The selected candidate will work on the project:

“Real-Time Target Detection in Low-Light Vision from UAV for Military Surveillance”

The research focuses on computer vision, machine learning, low-light image analysis, UAV-based vision systems, and real-time target detection.

Essential Qualification

Candidates should possess an appropriate combination of undergraduate and postgraduate qualifications in areas such as:

• Computer Science and Engineering

• Information Technology

• Artificial Intelligence

• Machine Learning

• Data Science

• Mathematics

• Related / suitable specialization

Eligible qualifications include B.E./B.Tech./B.Sc. along with M.E./M.Tech./M.Sc., as applicable to the relevant discipline.

Candidates should have a minimum of:

• 60% aggregate marks, or

• 6.5/10 CGPA

from a recognized technical institute or university.

GATE / NET

Candidates who have qualified GATE / NET at least once during their academic career will be preferred, but the qualification is not mandatory.

Desirable Qualification

Candidates should preferably have knowledge in:

• Computer Vision

• Machine Learning

Experience Required

No separate mandatory professional experience requirement is specified in the advertisement.

Research or project exposure in the following areas may be particularly relevant:

• Computer Vision

• Object / Target Detection

• Machine Learning

• UAV Vision Systems

• Low-Light Image Processing

• Artificial Intelligence

Project Area

The research project broadly focuses on:

• Computer Vision

• Machine Learning

• Artificial Intelligence

• Real-Time Target Detection

• Low-Light Vision

• UAV / Drone-Based Imaging

• Image Processing

• Military Surveillance Technology

Remuneration

First Two Years

INR 37,000 per month + 20% HRA

Third Year

INR 42,000 per month + 20% HRA

The fellowship will apply up to the completion of the project and subject to the availability of project funding.

Appointment Duration

The initial appointment will be for:

1 Year

The position may be extended for up to 3 years, subject to satisfactory performance and project requirements.

Age Limit

Candidates should preferably be:

Below 35 years of age

Candidates should refer to the complete official notification for any applicable relaxation provisions.

Nature of Appointment

• Junior Research Fellow

• Temporary and full-time position

• ANRF-funded research project

• Initial tenure of 1 year

• Extendable up to 3 years subject to satisfactory performance

• Based in the Department of Mathematical and Computational Sciences

How to Apply

Interested candidates should send:

• Detailed CV

• Prescribed application form

• Scanned copies of UG and PG certificates

• Grade / mark sheets

• GATE / NET scorecard, if applicable

• Aadhaar Card

• Class 10 and Class 12 mark sheets

• Experience certificates, if applicable

• Publications and other relevant supporting documents

All documents should be combined into a single PDF file not exceeding 5 MB.

Application Email: pushpajitkhaire@nitk.edu.in

Email Subject: Application for the position of JRF (ANRF-RT-UAV)

Application Deadline: October 7, 2026, up to 5:00 PM

Only shortlisted candidates will be informed through email.

PhD Opportunity

Selected candidates are encouraged to register for a Ph.D. at NITK Surathkal, subject to fulfilment of the institute’s academic and administrative requirements.

Job Domain: Engineering and Technology / Computer Vision / Machine Learning / Artificial Intelligence / UAV & Drone Technology

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