IIT Palakkad SRF Data Science Recruitment 2026
Indian Institute of Technology Palakkad (IIT Palakkad) - ANRF ARG Project - Data Science
Vacancy
1
Salary
₹42,000 - ₹42,000
Job Type
contract
full time
Apply By
10 Jul 2026
About This Job
Senior Research Fellow vacancy in IIT Palakkad. B.Tech/M.Tech with 2 yrs JRF research exp eligible. Salary: Rs 42,000. Last date: 10 Jul 2026.
About This Job
IIT Palakkad is hiring 1 Senior Research Fellow (Data Science) for an ANRF ARG funded project. If you have B.E./B.Tech or M.E./M.Tech in CS, Data Science or Electrical Engineering and 2 years of research experience with JRF, you can apply by email. The last date to apply is 10 July 2026. Salary is Rs. 42,000 per month, with HRA as per Government of India rules.
Indian Institute of Technology Palakkad SRF Data Science Recruitment 2026 - 1 Post
Indian Institute of Technology Palakkad (IIT Palakkad) has released Ref. IITPKD/2026/024/DS/SAB for a Senior Research Fellow position in Data Science. The project areas are Generative AI, graph generation and deep learning. This is a contract research role, initially for 6 months, with possible extension for another 3 years or more based on performance and fund availability.
Who Can Apply?
Essential Qualification
- Engineering degree: You need B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science or Electrical Engineering from a reputed institution with a good academic record.
- Research degree route: A Master's degree by Research in Engineering/Technology with a good academic record is also accepted.
- Experience: You need at least 2 years of research experience with JRF.
Required and Desirable Skills
- Programming: Python, machine learning, TensorFlow, good programming ability and mathematical skills are required.
- Research record: The notice asks for an excellent research record in machine learning on graphs.
- Publications: Publications in machine learning are desirable.
- Project fit: The project is connected with Generative AI, graph generation and deep learning.
Age Limit
- Preferred maximum age is 35 years as on the closing date of application.
- The closing date is 10 July 2026.
- Age relaxation: OBC, SC, ST, PWD candidates and women applicants get relaxation as per Government of India norms.
Salary
- The monthly salary is Rs. 42,000.
- HRA is provided with salary as per Government of India rules.
- The notice states that this salary scale is the highest in the SRF category.
- You need to arrange your own accommodation and one laptop or desktop.
Selection Process
The notification does not mention a written exam. IIT Palakkad will review applications sent to the official email and contact suitable applicants as per project requirements.
- Email Application: Send your resume and certificates in one PDF before 10 July 2026.
- Application Review: The project team will check qualification, 2 years JRF research experience, skills and research fit.
- Further Communication: Shortlisted applicants should follow instructions sent by IIT Palakkad.
How to Apply
- Prepare your resume and certificates from Class X onward.
- Combine the resume and certificates into one PDF file.
- Email the PDF to sahely@iitpkd.ac.in.
- Use the subject line Application for Senior Research Fellow - IITPKD/2026/024/DS/SAB.
- Send the email before 10 July 2026.
- Be ready to join immediately after receiving the offer letter if selected.
Project Work and Conditions
The work area is Generative AI, graph generation and deep learning, with special focus on machine learning on graphs. This role suits candidates who already have research exposure and can work independently with Python, machine learning, TensorFlow and mathematical modelling.
The appointment is initially for 6 months. It may be extended for another 3 years and possibly more, depending on satisfactory performance and fund availability. The selected candidate is expected to join immediately after receiving the offer letter.
Required Documents
- Resume
- Certificates for educational qualifications starting from Class X
- Documents supporting JRF research experience
- Publication proof, if available
Application Readiness
Before you email the application, prepare one PDF that includes your resume and certificates for educational qualifications starting from Class X. The notification specifically asks for a single PDF, so avoid sending multiple attachments. Use the subject line Application for Senior Research Fellow - IITPKD/2026/024/DS/SAB so that your email is mapped to the correct Data Science project.
The role is based at IIT Palakkad, and the notice says you need to arrange your own accommodation and one laptop or desktop. You should apply only if you can join quickly, because the selected candidate is expected to join immediately after receiving the offer letter. This is important for a project appointment where timelines depend on fund availability and active research work.
Research Fit
This SRF role expects prior research maturity. The PDF asks for at least 2 years of research experience with JRF, an excellent research record in machine learning on graphs, and publications in machine learning as a desirable point. Your resume should therefore show research problems handled, graph or machine-learning work done, and any paper or preprint details clearly.
The project areas are Generative AI, graph generation and deep learning. The required skills include Python, machine learning, TensorFlow, strong programming ability and mathematical skills. If your experience includes graph neural networks, generative models, deep learning experiments, model evaluation or mathematical modelling, highlight those details in a simple and direct way.
Important Dates
- Notification Date: 17 June 2026
- Application Start: 17 June 2026
- Last Date to Apply: 10 July 2026
- Joining: Immediate joining expected after receiving the offer letter
Responsibilities
- Work on Generative AI, graph generation and deep learning research tasks
- Build and test Python and TensorFlow models for machine learning on graphs
- Use strong programming and mathematical skills to support project experiments
- Analyse results and prepare research notes, reports and updates
- Contribute to publications and research documentation where required
- Maintain organized code, experiment logs, data files and certificates for review
Eligibility Criteria
Minimum Qualification
B.E./B.Tech or M.E./M.Tech in Computer Science/Data Science/Electrical Engineering, or Master's degree by Research in Engineering/Technology with good academic record; at least 2 years of research experience with JRF
Preferred Qualification
Excellent research record in machine learning on graphs; publications in machine learning are desirable
Required Skills
Python, Machine Learning, TensorFlow, good programming skills, mathematical skills, research experience in machine learning on graphs
Age Limit
18 - 35 years (as on 10 Jul 2026)
Age Relaxation:
- Relaxation for OBC/SC/ST/PWD candidates and women applicants as per Government of India norms
Experience
2.0 - No limit years
Salary & Compensation
Pay Scale
Monthly salary of Rs. 42,000 for Senior Research Fellow
Allowances
HRA is provided with salary as per Government of India rules. Candidate must arrange own accommodation and laptop/desktop.
Additional Requirements
Computer Knowledge Required
How to Apply
Application Mode: online
Click the "Apply Now" button to visit the official application portal.
Required Documents:
- Resume
- Certificates for educational qualifications starting from Class X
- Proof of 2 years research experience with JRF
- Publication proof if available
Frequently Asked Questions
The last date to apply is 10 July 2026.
The salary is Rs. 42,000 per month, and HRA is provided as per Government of India rules.
You need B.E./B.Tech or M.E./M.Tech in CS/Data Science/Electrical Engineering, or a Master's degree by Research, plus 2 years JRF research experience.
Email your resume and certificates in one PDF to sahely@iitpkd.ac.in with the prescribed subject line.
On This Page
Important Dates
Notification
17 Jun 2026
Application Start
17 Jun 2026
Last Date to Apply
10 Jul 2026
Job Locations
Categories
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