- Project Title: Generative AI-driven model for Prediction and Early Diagnosis of Cancers using multimodal data integration with emphasis on Epigenomic data from Breast tissues (healthy, apparently healthy, and tumor).
- Funding Agency: Science and Engineering Research Board (SERB), Government of India.
- Project Duration: 3 years (Year 1 & 2: Rs. 37,000/month, Year 3: Rs. 42,000/month).
- Engagement Type: Temporary/Contractual, co-terminus with project completion.
- Location: Department of Life Science, NIT Rourkela, Odisha.
- Role involves AI model development, wet-lab experimentation, data integration, and scientific manuscript preparation.
NIT
🔒 Closed
🎓 Master's Degree
🎓 M.Sc.
Junior Research Fellow (JRF) - Generative AI for Cancer Prediction
National Institute of Technology Rourkela
Total Vacancies
1
Job Location
Rourkela, Odisha
Apply Deadline
19 Aug 2026
🚫 Applications Closed
📄 View PDF Notification
📋 Recruitment Overview
| Organization | National Institute of Technology Rourkela (NIT Rourkela) |
| Job Category | Technical |
| Eligibility Qualification | Master's Degree (masters-degree), M.Sc. (m.sc.) |
| Number of Vacancies | 1 Posts |
| Salary / Pay Scale | ₹37,000 - ₹42,000 Per Month |
| Gender Eligibility | both |
| Experience Required | Minimum 1 year of hands-on research experience in molecular biology, AI model development, or related fields. |
| Application Fee | - No application fee for this position. |
📄 Details & Description
🎓 Eligibility Criteria
- Educational Qualification: M.Sc. with NET/GATE qualification.
- Required Skills: Hands-on research experience in project management, molecular biology experimentation, AI model development, multimodal gene expression data integration, scientific writing, and laboratory inventory management.
- Preferred Skills: Research experience in generative AI, epigenetics data handling, advanced wet-lab techniques (molecular biology, biochemical assays), cancer cell line and tumor sphere culture, coding, and computational analysis.
- Desired Expertise: AI model development for gene expression data analysis, multimodal data integration, validation, and proficiency in scientific manuscript preparation.
- Publications: Prior research publications in relevant fields are highly desirable.
- Required Skills: Hands-on research experience in project management, molecular biology experimentation, AI model development, multimodal gene expression data integration, scientific writing, and laboratory inventory management.
- Preferred Skills: Research experience in generative AI, epigenetics data handling, advanced wet-lab techniques (molecular biology, biochemical assays), cancer cell line and tumor sphere culture, coding, and computational analysis.
- Desired Expertise: AI model development for gene expression data analysis, multimodal data integration, validation, and proficiency in scientific manuscript preparation.
- Publications: Prior research publications in relevant fields are highly desirable.
⚙️ Selection Process
- Selection will be based on a walk-in (offline) interview.
- Interview Date: 19th August 2026.
- Interview Time: 10:30 AM.
- Venue: Department of Life Science, NIT Rourkela.
- Candidates must bring original and self-attested copies of all required documents.
- Interview Date: 19th August 2026.
- Interview Time: 10:30 AM.
- Venue: Department of Life Science, NIT Rourkela.
- Candidates must bring original and self-attested copies of all required documents.
🏷️ Category Eligibility & Reservations
All categories (General, OBC, SC, ST, EWS) are eligible.
📂 Required Documents
- Duly filled application form (available on NIT Rourkela website).
- Self-attested copies of educational certificates (M.Sc. degree, NET/GATE scorecard).
- Proof of research experience (publications, project reports, or certificates).
- Experience certificates from previous employers (if applicable).
- Caste certificate (if applicable for reservation category).
- Passport-sized photographs (2 copies).
- Aadhaar Card or any government-issued ID proof.
- No Objection Certificate (NOC) from current employer (if employed).
- Self-attested copies of educational certificates (M.Sc. degree, NET/GATE scorecard).
- Proof of research experience (publications, project reports, or certificates).
- Experience certificates from previous employers (if applicable).
- Caste certificate (if applicable for reservation category).
- Passport-sized photographs (2 copies).
- Aadhaar Card or any government-issued ID proof.
- No Objection Certificate (NOC) from current employer (if employed).
💳 Application Fee Details
- No application fee for this position.
❓ Frequently Asked Questions
Q.
What is the duration of the project for which the Junior Research Fellow (JRF) position is being offered?
The project duration is from 22nd May 2029 to 21st May 2032, with the fellowship position co-terminus with the project completion.
Q.
What are the essential qualifications required for the JRF position?
Applicants must have an M.Sc. degree with NET/GATE qualification and hands-on research experience in project management, molecular biology experimentation, AI model development, multimodal gene expression data integration, scientific writing, and laboratory inventory management.
Q.
Is prior research publication experience mandatory for this position?
Yes, prior research publications and experience in advanced wet-lab techniques, such as molecular biology and biochemical assays, are required.
Q.
What are the key responsibilities of the JRF in this project?
The JRF will plan and manage projects, conduct laboratory experiments, collect and analyze research data, develop and validate AI models, integrate multimodal gene expression datasets, prepare scientific manuscripts, review literature, and maintain lab inventory records.
Q.
How will the selection process be conducted for this position?
The selection process will be conducted through a walk-in (offline) interview on 19th August 2026 at 10:30 AM in the Department of Life Science.