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- Applications closed — 15 Aug 2026
This recruitment closed on 15 Aug 2026
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AIIMS Delhi Project Research Scientist-I Recruitment 2026
All India Institute of Medical Sciences, New Delhi (AIIMS New Delhi) - Department of Onco-Radiology, Dr. B.R.A. Institute Rotary Cancer Hospital (IRCH), AIIMS New Delhi
Published Source: Official Notification Report an error
Vacancy
1
Job Type
Contract
Full time
Apply By
15 Aug 2026
About This Job
Project Research Scientist-I vacancy in AIIMS Delhi. PhD/M.Tech in Data Science, Physics or Electronics eligible. Apply by 15 Aug 2026 via email.
AIIMS New Delhi is hiring 1 Project Research Scientist-I for a research project in the Department of Onco-Radiology at Dr. B.R.A. Institute Rotary Cancer Hospital (IRCH). If you have a Ph.D. or M.Tech in Data Science, Physics, Electronics or a related engineering field, you can apply by email. The last date to apply is 15 August 2026. The upper age limit is 35 years, as per project norms.
AIIMS New Delhi Project Research Scientist-I Recruitment 2026
All India Institute of Medical Sciences (AIIMS), New Delhi has invited applications for 1 Project Research Scientist-I post under a research project titled "Development of Non-Invasive Machine Learning Based method to predicting axillary Lymph Node metastasis in Breast Cancer Patients using ultrasound". This project is based in the Department of Onco-Radiology at Dr. B.R.A.-IRCH, which is one of India's leading government cancer treatment and research hospitals, located within the AIIMS New Delhi campus.
The project aims to build a non-invasive machine learning tool that can help doctors predict whether breast cancer has spread to the axillary lymph nodes, using only ultrasound images — reducing the need for invasive biopsies. This role is ideal for candidates with a strong machine learning and deep learning background who want to apply their technical skills to real medical imaging data and cancer research. Both PhD holders and postgraduates with relevant project or internship experience can apply. This is a project-based contractual position tied to the duration of the funded research project.
Who Can Apply?
- Qualification (Option 1): Ph.D. or M.Tech in Data Sciences, Physics/Applied Physics, Electronics or Bioinformatics, or an equivalent engineering background, with a focus on Machine Learning and Deep Learning Platform Development (SDE-level, meaning software-development-engineer level coding ability).
- Qualification (Option 2): Postgraduate Degree (M.Sc./M.A./M.Tech or equivalent) in Cognitive Sciences, Psychology, Applied Psychology, Bioinformatics, Computer Science, Electronics, Artificial Intelligence, Data Science, Informatics and Communication, Operational Research, or an equivalent field, along with relevant project or internship experience in Imaging, Radiomics, Genetics and AI/ML.
- Desirable: UGC NET-JRF qualified candidates in Physics, Psychology, Electronics, IT or a similar subject are preferred.
Age Limit
- The upper age limit is 35 years, as per project norms.
Selection Process
Selection for this project post follows these stages:
- Screening of Applications: Your CV is reviewed against the eligibility criteria listed above.
- Interview: Only shortlisted candidates are called for an interview to assess your technical and research skills.
No TA/DA will be provided by the investigators or the institute for attending the interview. There is no written exam for this post — selection is purely on the basis of your CV and interview performance.
How to Apply
- Prepare your CV in a single PDF file, highlighting your machine learning and imaging-related project experience.
- Email your CV to drekta.project@gmail.com.
- Use the subject line: "Application for the Post of PRS-I".
- Send your application before 15 August 2026, 5:00 PM.
Only online (email) applications are considered for screening — physical/postal applications will not be entertained. Keep an eye on your email for the interview call if you are shortlisted.
Important Dates
- Notification Date: 30 July 2026
- Last Date to Apply (by Email): 15 August 2026, 5:00 PM
Responsibilities
- Develop and train machine learning and deep learning models for medical image analysis
- Analyze ultrasound imaging data to help predict axillary lymph node metastasis
- Write and maintain code for SDE-level platform development
- Collaborate with radiologists and clinicians on the research project
- Prepare technical documentation and progress reports
- Support data collection, preprocessing and quality checks for the imaging dataset
- Present research updates and findings to the project team
- Assist in preparing manuscripts and reports for publication
Eligibility Criteria
Minimum Qualification
Ph.D. or M.Tech in Data Sciences, Physics/Applied Physics, Electronics or Bioinformatics, or equivalent engineering background with focus in Machine Learning and Deep Learning Platform Development (SDE-level); or a Postgraduate Degree (M.Sc./M.A./M.Tec...
Preferred Qualification
UGC NET-JRF qualified in Physics, Psychology, Electronics, IT or similar subject
Required Skills
Machine Learning, Deep Learning, medical imaging/radiomics experience
Age Limit
18 - 35 years
Am I eligible?
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- This post needs a higher qualification than the one selected.
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Selection Process
- 1 Document Verification
- 2 Interview
Additional Requirements
Computer Knowledge Required
How to Apply
Application Mode: Online
Required Documents:
- Curriculum Vitae (CV) in single PDF format
Frequently Asked Questions
The last date to email your application is 15 August 2026, 5:00 PM.
You need a Ph.D. or M.Tech in Data Science, Physics, Electronics or Bioinformatics with a Machine Learning/Deep Learning background, or a relevant postgraduate degree with project experience in imaging and AI/ML.
Send your CV in a single PDF to drekta.project@gmail.com with the subject "Application for the Post of PRS-I" before the last date.
Shortlisted candidates based on CV screening are called for an interview. No TA/DA is provided for the interview.
The upper age limit is 35 years, as per project norms.
Important Dates
Notification
30 Jul 2026
Application Start
30 Jul 2026
Last Date to Apply
15 Aug 2026
Job Locations
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