🏛️ Government Job Alert

MNNIT Allahabad Project Scientist Recruitment 2026

Motilal Nehru National Institute of Technology Allahabad

📍
Location
Uttar Pradesh
📅
Last Date
17 Jun 2026
💼
Salary
Rs. 49,000 per month

MNNIT Allahabad Project Scientist Recruitment 2026

Motilal Nehru National Institute of Technology Allahabad

SP
By Sneha Patel • 04 Jun 2026
Central Government Jobs 📍 Uttar Pradesh

📅 Important Dates

Application Start27 May 2026
Last Date to Apply17 Jun 2026

📋 Vacancy Details

Post NameProject Scientist
Total Vacancies1
QualificationM.Tech, B.E./B.Tech, or M.Sc in relevant fields with GATE/NET qualification and experience
SalaryRs. 49,000 per month
Application FeeRefer to official notification
Selection ProcessShortlisting based on merit and project needs, followed by interview and document verification

📝 Detailed Notification Information

Overview of MNNIT Allahabad Project Scientist Recruitment 2026

The Motilal Nehru National Institute of Technology (MNNIT) Allahabad has announced a recruitment notification (Advt No: 01/Project staff/2026) for the position of Project Scientist. This is a contractual engagement for a single vacancy. Interested and eligible candidates are required to submit their applications through the offline mode before the stipulated deadline.

DetailsInformation
Post NameProject Scientist
Vacancy1
SalaryRs. 49,000 per month
Application ModeOffline
Last Date2026-06-17

Eligibility for MNNIT Allahabad Project Scientist Position

Candidates must meet one of the following academic and research criteria to be considered for the position:

  • M.Tech or equivalent: In GIS & Remote Sensing, Computer Science and Engineering, or Electronics Engineering with at least 60% marks (or 6.5 CPI). For SC/ST/PwD candidates, the requirement is 55% marks (or 6.0 CPI).
  • B.Tech/B.E.: With at least 70% marks (or 7.5 CPI) and a minimum of 2 years of relevant experience in research, teaching, design, or development. For SC/ST/PwD candidates, the requirement is 65% marks (or 7.0 CPI).
  • M.Sc or equivalent: In GIS & Remote Sensing or Computer Science with at least 70% marks (or 7.5 CPI) and a minimum of 2 years of relevant experience. For SC/ST/PwD candidates, the requirement is 65% marks (or 7.0 CPI).

Additionally, candidates must have qualified for the National Eligibility Test (CSIR-UGC NET) or GATE.

Steps to Apply for MNNIT Allahabad Project Scientist Recruitment

  1. Download the official application form available at the MNNIT Allahabad website.
  2. Fill out the form accurately, ensuring all personal and educational details are verified.
  3. Attach self-attested copies of all mandatory educational certificates, research/teaching experience proof, and ID documentation.
  4. Dispatch the completed application via Speed Post or Registered Post to the address specified in the official notification.
  5. Ensure the application reaches the office on or before 2026-06-17.

Important Considerations for Applicants

Warning: Ensure your application is sent via traceable postal services (Speed/Registered Post). Applications received after the deadline due to postal delays will not be considered. Always keep a photocopy of the submitted application and proof of postage for your records.

Frequently Asked Questions

  • Q: Is there any application fee for this post?
    A: Please refer to the official notification PDF for specific details regarding application fees.
  • Q: What is the selection process for the Project Scientist post?
    A: Candidates will be shortlisted based on merit and project requirements, followed by an interview and document verification process.
  • Q: Where can I find the application form?
    A: The application form is provided as part of the official advertisement document on the MNNIT Allahabad website.

📝 How to Apply

Download application from official website, fill correctly, attach self-attested documents, and send via speed/registered post.

📁 Explore More Opportunities

SP
Written By
Sneha Patel
Government Exam Strategist

Sneha Patel is a certified career strategist specializing in government competitive examinations. With her background in Economics and Data Analysis, she provides data-driven insights on exam patterns, cut-off trends, and preparation strategies.

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