KGMU Junior Research Assistant Recruitment 2026

King George's Medical University (KGMU), Lucknow is hiring 1 Junior Research Assistant (JRA) in the Department of Radiodiagnosis. If you have an M.Sc in Life Science, Physics, or Chemistry, or a B.Tech/M.Tech in CS, EC, EE, or Biomedical Engineering, you can apply online through Google Form. The last date to apply is 18 May 2026 before 5:00 PM. Upper age limit is 28 years. The interview is scheduled for 21 May 2026 at KGMU Lucknow.

King George's Medical University (KGMU) Junior Research Assistant Recruitment 2026 - 1 Post

King George's Medical University (KGMU), Lucknow has released a notification for 1 Junior Research Assistant position under the CST-UP funded project titled "Multiparametric MRI-Based Radiomics and Machine Learning Models for Diagnosis and Classification of Renal Tumors". The project is supervised by Dr. Durgesh K. Dwivedi, Additional Professor, Department of Radiodiagnosis, KGMU. This is a contractual position for 1 year, renewable annually based on performance. Selected candidates may also be considered for admission to KGMU's PhD programs as regular full-time scholars if they meet the eligibility criteria.

Who Can Apply?

Educational Qualification

• M.Sc. in Life Science, Physics, or Chemistry, or equivalent degree, OR
• B.Tech / M.Tech in Computer Science (CS), Electronics & Communication (EC), Electrical Engineering (EE), or Biomedical Engineering, or equivalent
• You must have good grades in both graduation and post-graduation examinations

Preferred Qualifications

• Candidates who have secured first division in all examinations will be preferred
• Qualifying NET / GATE or equivalent national level examination is preferred
• Programming experience, especially in MATLAB, is a plus
• Interest in Renal Cancer, Cancer Biology, AI, and MRI research
• Strong analytical, writing, and communication skills

Age Limit

• Upper age limit: 28 years as on 1 April 2023
• Age relaxation is available as per the norms of UP Council of Science and Technology (UP-CST)

Salary

• Emoluments will be paid as per the UP-CST norms for the project (Ref: CST/D-1381, Dated 20/10/2023)
• Duration: 1 year (contractual, renewable annually based on performance)
• Exact monthly stipend is not mentioned in the notification — please check with the Principal Investigator

Selection Process (No Written Exam)

Selection will be based on:

1. Shortlisting of candidates based on application, CV, and research statement
2. Personal Interview on 21 May 2026 at 10:30 AM at the Office of the HOD, Department of Radiodiagnosis, KGMU, Lucknow
3. Document Verification with original certificates at the time of interview

Note: The interview is in-person only. No online interview will be conducted. No call letters will be sent separately, and no TA/DA will be provided for attending the interview.

How to Apply

1. Read the official notification PDF carefully to check eligibility
2. Fill the online Google Form linked in the notification (login to your Google account is required) by 18 May 2026 before 5:00 PM
3. Keep your CV ready with contact details (email, phone), parent's name, permanent address, subjects studied, year of passing, and percentage/CGPA for 10th, 12th, graduation, and post-graduation
4. Prepare a research statement describing your motivation for research
5. Keep self-attested copies of degrees, mark sheets, experience certificate, and testimonials ready
6. Attend the interview in person on 21 May 2026 at 10:30 AM at the HOD Office, Department of Radiodiagnosis, KGMU, Lucknow with all original documents
7. For technical queries, email the Principal Investigator at durgeshdwivedi@kgmcindia.edu

Important Dates

• Notification Date: 6 May 2026
• Last Date to Apply Online: 18 May 2026 (before 5:00 PM)
• Interview Date: 21 May 2026 (10:30 AM)
• Venue: Office of the HOD, Department of Radiodiagnosis, KGMU, Lucknow

• Conduct advanced MRI research on Renal Tumor diagnosis and classification
• Analyse multiparametric MRI techniques and their correlation with histopathology and biomarkers
• Develop and test Radiomics and Machine Learning models for renal tumor classification
• Use MATLAB and other programming tools for image and data analysis
• Maintain accurate research records and prepare reports for the Principal Investigator
• Assist in writing research papers, manuscripts, and presentations
• Coordinate with clinicians for patient data collection and histopathology correlation
• Participate in project meetings and contribute to research discussions