Junior Research Assistant JRA Machine Learning

Shiv Nadar University; Uttar Pradesh; Remote; INR 284,000 - 341,000; Full time

Job summary

Shiv Nadar University invites applications for a Junior Research Assistant in Machine Learning under a CSTUP-funded project in the Computer Science & Engineering department. The role supports facial paralysis research and ML methodology development, with guidance from Dr. Nazil Perveen.

Located in Delhi-NCR, the position is open to eligible Indian citizens residing in Uttar Pradesh. The stipend is INR 28,000 per month including HRA, for a duration of 24 months (initial 12 months, extendable by

Qualifications

• M.Sc. (CSE), MCA, B.E./B.Tech. (CSE) or equivalent degree in Computer Science.
• First class in graduate and postgraduate examinations.
• Maximum age: 28 years as of 1st April of the application year.
• CSIR/UGC-NET/GATE qualified candidates encouraged to apply.
• Women and differently-abled candidates encouraged to apply.

Skills

Computer Vision

Deep Learning

MediaPipe

OpenCV

PyTorch

TensorFlow

Education

M.Sc. (CSE)

MCA

B.E./B.Tech. (CSE)

Tools

Git

Docker

Job description

Junior Research Assistant JRA Machine Learning

• Position: JRA position in a CSTUP-funded machine learning research project
• Job Id: 3740
• School: School of Engineering (SoE)
• Department: Computer Science & Engineering

Applications are invited for the post of Project Research Scientist in a CSTUP-funded research project titled "Quantitative Evaluation of Facial Paralysis Severity to Enhance Patient Self-Tracking and Clinical Decision-Making Using Machine Learning Methodologies", under the supervision of Dr. Nazil Perveen, Department of Computer Science and Engineering, Shiv Nadar University, Delhi-NCR.

• Indian citizens residing in Uttar Pradesh are eligible.
• M.Sc. (CSE), MCA, B.E./B.Tech. (CSE) or equivalent degree in Computer Science.
• First class in graduate and postgraduate examinations.
• Maximum age: 28 years as of 1st April of the application year.
• CSIR/UGC-NET/GATE qualified candidates are encouraged to apply.
• Women and differently-abled candidates are encouraged to apply.

Desirable Qualifications

• Experience in Computer Vision, Deep Learning, MediaPipe, OpenCV, PyTorch or TensorFlow.
• Experience in model deployment and web/mobile application development.
• Knowledge of clinical facial paralysis assessment scales and medical datasets.
• Research experience, publications, Git, Docker and clinical collaboration skills.

Project Duration

24 months (initially 12 months on a temporary basis, extendable by another 12 months).

Stipend

INR 28,000 per month, including HRA, as per guidelines.

Last Date to Apply

6th December 2026

Only shortlisted candidates will be contacted and may be invited for an online interview.