Work at the intersection of AI and quantum computing at IIT Roorkee — building quantum-enhanced image-analysis systems with a ₹37,000/month fellowship plus HRA.
Overview
The Department of Computer Science & Engineering at IIT Roorkee has opened one Junior Research Fellow position for the DST-sponsored Qu-GEN project. The research combines quantum computing with machine learning and computer vision to develop quantum-enhanced approaches for complex image analysis.
The official IIT Roorkee advertisement is dated 11 September 2026, and applications are open until 20 September 2026 at 11:59 PM.
Quick Facts
- Opportunity Type: Junior Research Fellowship
- Host: Indian Institute of Technology Roorkee
- Department: Computer Science & Engineering
- Project: Qu-GEN — A versatile Quanvolutional Neural Network Library for Enhanced Image Analysis on Quantum Computers
- Sponsor: Department of Science & Technology (DST)
- Location: Roorkee, Uttarakhand, India
- Countries Involved: India
- Funding Status: Paid research fellowship
- Monthly Fellowship: ₹37,000 + HRA
- Duration: 2 years 11 months
- Nationality: Indian nationals only
- Degree: Postgraduate degree in Basic Science OR Graduate/Postgraduate degree in a Professional Course through an eligible national-level selection route
- Work Experience: Not specified as mandatory
- Research Areas: AI, machine learning, deep learning, computer vision, image processing, quantum computing, quantum machine learning
- Application Fee: None
- Deadline: 20 September 2026 at 11:59 PM IST
Funding
The selected JRF receives:
₹37,000/month + HRA
for the advertised project period of 2 years 11 months.
The position is funded under a DST-sponsored research project.
Eligibility
The official advertisement requires:
- A postgraduate degree in Basic Science OR
- Graduate/postgraduate degree in a Professional Course
- Selection through one of the specified national-level routes, including:
- CSIR-UGC NET
- GATE
- National-level examinations conducted by eligible Central Government departments/agencies/institutions such as DST, DBT, DAE, DoS, DRDO, MoE, ICAR, ICMR, IIT, IISc, IISER and NISER.
Preferred Background
The project is particularly suited to candidates with experience or strong knowledge in:
- Machine Learning
- Deep Learning
- Computer Vision
- Image Processing
- CNNs
- Machine-learning programming
- Quantum Computing
- Quantum Machine Learning
- Parameterized Quantum Circuits
- Hybrid quantum-classical algorithms.
Nationality
Indian nationals only.
Degree
Postgraduate degree in Basic Science, or a Graduate/Postgraduate degree in a Professional Course meeting the specified national-level selection criteria.
Duration
2 years 11 months.
Research Area
The project focuses on developing a hybrid quantum-classical framework for advanced image analysis.
The JRF will work on areas including:
- Quanvolutional neural networks
- Parameterized quantum circuits
- Quantum data encoding
- Quantum feature maps
- CNN integration
- Deep learning
- Image analysis
- Biomedical imaging
- Materials microstructure analysis
- Quantum-enhanced feature extraction.
The selected candidate may get an opportunity for PhD admission.
Application Process
- Prepare your CV.
- Prepare copies of your degree certificates.
- Include experience certificates if applicable.
- Include the required Aadhaar document.
- Email the application documents to the Principal Investigator.
- Submit the application by 20 September 2026 at 11:59 PM.
- Shortlisted candidates proceed through the institute’s selection/interview process.
- If selected, joining is expected as soon as possible.
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