IIT Kanpur Project Assistant Recruitment 2026

IIT Kanpur is hiring 1 Project Assistant (PA) in the Department of Aerospace Engineering for an ANRF sponsored research project. If you have a B.Tech, B.Sc. or equivalent degree in a listed engineering/science discipline, you can apply online through the official Google Form. The last date to apply is 27 June 2026. Salary is a consolidated Rs. 32,400 per month.

Indian Institute of Technology Kanpur (IIT Kanpur) Project Assistant Recruitment 2026 - 1 Post

Indian Institute of Technology Kanpur (IIT Kanpur) has released Advertisement No. P.Rect./R&D/2026/121 for a Project Assistant under the project titled Physics-informed Machine Learning for Enhanced Turbine Blade Flow Predictions: Bridging Experiments and Computations. The role sits in the Department of Aerospace Engineering and is linked to an ANRF sponsored research project. This is a research project role with online interview selection, so it is best suited for candidates who can connect fluid mechanics, coding and machine learning.

The appointment is purely temporary and will initially be offered for one year. Extension may be given based on performance and project funding, up to the project duration. If you are aiming for hands-on research exposure at an IIT, this post gives you a chance to work around turbomachinery flows, computational methods and physics-informed machine learning.

Project focus: The project title points to physics-informed machine learning for turbine blade flow prediction. That means the work may involve reading flow data, helping with computation, preparing scripts and supporting research discussions around experiments and simulations. If you have done academic work in fluid mechanics, CFD, Python/MATLAB or machine learning, mention it clearly while applying.

Why this role matters: The post is small in vacancy count, but it is a useful research entry point at IIT Kanpur. The advertisement asks for immediate joining after selection, so keep your availability clear. Since the salary is fixed at Rs. 32,400 per month and the initial appointment is for one year, candidates should treat this as a project-based research assignment rather than a permanent institute post.

Who Can Apply?

Minimum Qualification

• Degree: You need B.Tech, B.Sc. or an equivalent degree with a strong academic record.
• Accepted fields: Aerospace Engineering, Mechanical Engineering, Chemical Engineering, Computer Science, Civil Engineering, Physics, Mathematics or a related discipline.
• Core requirement: You should have a basic understanding of fluid mechanics and turbomachinery flows.

Desirable Skills

• Programming: Experience in scientific programming, coding or machine learning will help your application.
• CFD exposure: Experience in Computational Fluid Dynamics (CFD) is desirable.
• Communication: Good written and oral communication skills are preferred because the project involves research reporting and team discussion.

Age Limit

• The official advertisement does not mention a minimum or maximum age limit for this Project Assistant post.
• No separate age relaxation details are given in the notice.

Salary

• Selected candidate will get a consolidated salary of Rs. 32,400 per month.
• The notice does not mention DA, HRA, TA or any separate allowances for this project appointment.
• The pay is attached to a temporary research project position, not a regular government pay scale.

Application Fee

• Application fee: The IIT Kanpur notice does not mention any fee for this recruitment.
• Payment mode: Not applicable because no fee is stated in the advertisement.

Application tip: Use the form to show how your degree connects with fluid mechanics, turbomachinery, coding or machine learning. The advertisement specifically values scientific programming and CFD exposure, so include projects, internships or coursework that prove those skills. Keep the explanation short but concrete, because the project team will use it for shortlisting before the online interview.

Selection Process (No Written Exam)

IIT Kanpur will shortlist applicants and conduct the selection through an online interview. Only shortlisted candidates who meet the minimum eligibility and relevant experience expectations will be contacted.

1. Application Screening: The project team will review the online applications for qualification, academic record, fluid mechanics basics and relevant skills.
2. Shortlisting: Shortlisted candidates will be informed through email.
3. Online Interview: Interviews will be conducted online, so keep email and internet access ready.
4. Immediate Joining: The selected candidate is expected to join immediately after selection.

How to Apply

1. Open the official application form at forms.gle/1zstXrD1Dcf17qWC6.
2. Fill in your personal details, education details and contact information carefully.
3. Mention your degree discipline, academic record and any scientific programming, machine learning or CFD experience.
4. Submit the online form before 27 June 2026.
5. Check your email regularly because shortlisted candidates will be contacted by IIT Kanpur.

Before submitting: Check that your contact email is correct, because shortlisted candidates will receive interview communication by email. Also keep a short summary of your degree discipline, academic record and relevant technical skills ready so the form clearly matches the advertisement requirements.

Important Dates

• Advertisement Number: P.Rect./R&D/2026/121
• Last Date to Apply: 27 June 2026
• Interview Date: To be informed by email to shortlisted candidates
• Expected Joining: Immediately after selection

• Support research work on turbine blade flow prediction under the ANRF project
• Assist with scientific programming, data handling and machine learning workflows
• Work on fluid mechanics and turbomachinery flow-related analysis
• Help with Computational Fluid Dynamics inputs, outputs and result interpretation
• Prepare figures, notes and progress material for project discussions
• Coordinate with the Principal Investigator and research team for assigned tasks
• Maintain clear records of simulations, code changes and research observations