SVNIT Assistant Professor Recruitment 2026

SVNIT Assistant Professor Recruitment 2026

Sardar Vallabhbhai National Institute of Technology Surat - Computer Science and Engineering; Artificial Intelligence

Vacancies

2

Salary

₹56,100 - ₹177,500

Job Type

Contract

Full time

Apply By

14 Sep 2026

About This Job

Assistant Professor Grade-II vacancies in SVNIT CSE and AI. Pay: Rs. 56,100-1,77,500. Last date: 14 Sep 2026. Apply online.

SVNIT Assistant Professor Recruitment 2026: Overview

Sardar Vallabhbhai National Institute of Technology Surat (SVNIT), an Institute of National Importance under the Ministry of Education, is recruiting Assistant Professor Grade-II faculty for computing disciplines. The rolling advertisement covers the Department of Computer Science and Engineering and the Department of Artificial Intelligence. Academic specialisation is central to scrutiny — the institute will compare the area of your PhD with the discipline listed in its detailed annexure before considering the application further.

This faculty role combines teaching, research and institutional work in an institute offering undergraduate, postgraduate and doctoral programmes. You should be ready to teach core and specialised courses, guide student projects and build a research programme that fits the department. SVNIT also expects faculty members to contribute to academic quality and the wider development of the institute, so the role goes beyond classroom delivery.

Posts and Disciplines

  • Computer Science and Engineering: Faculty work can span core computing subjects, laboratory courses, student projects and research that matches the specialisation listed in Annexure II.
  • Artificial Intelligence: The role supports teaching and research in AI-focused programmes, with the PhD specialisation used as a key screening filter.

Post-wise Duties

Computer Science and Engineering

You will teach computing courses, guide laboratory and project work, and develop discipline-aligned research. You may also help with curriculum review, academic committees and departmental activities.

Artificial Intelligence

You will support AI teaching, supervise student research and build scholarly work in the advertised specialisation. The department may also need your help with laboratories, seminars and collaboration across programmes.

Service Conditions and Caveats

  • Statutory eligibility: Educational qualifications, experience, credit points and other service conditions follow Schedule E of the NIT Statutes and the later Ministry of Education amendments.
  • Specialisation check: An application can be screened out when the PhD area does not match the required specialisation in Annexure II.
  • Screening discretion: SVNIT may consider another suitable specialisation and may adopt an appropriate process for deciding who is called for interview.
  • PwD reservation: The Government of India reservation rule applies, but temporary disability classified as likely to improve is not accepted for reservation under the notice. Progressive, non-progressive or not-likely-to-improve conditions are treated as eligible.
  • Repeat interview restriction: People who have already appeared before the selection committee for this post two or more times under the advertisements listed in the notice should not apply again.

Application Submission Notes

Apply through SVNIT's online recruitment portal only; the institute says applications sent through another mode will not be accepted. After online submission, SVNIT must also receive the downloaded, signed and completed application by 21 September 2026. Follow the detailed portal and institute instructions for dispatch and enclosures.

If you apply under OBC-NCL or EWS, include a valid certificate issued on or after 1 April 2026. Review Annexure II before choosing a department, because the declared specialisation is used during scrutiny and a mismatch can end the application before interview.

Responsibilities

  • Teach undergraduate and postgraduate courses in the assigned discipline
  • Plan lectures, laboratory sessions and fair student assessments
  • Guide student projects, dissertations and doctoral research
  • Develop research proposals and publish discipline-relevant work
  • Support curriculum review and academic quality activities
  • Manage departmental laboratories, seminars and technical events
  • Contribute to institute committees and academic administration

Eligibility Criteria

Minimum Qualification

Essential educational qualification, experience and credit points as prescribed in Schedule E of the NIT Statutes; the PhD specialisation must match Annexure II

Preferred Qualification

Excellent academic record, commitment to quality teaching and research, and contribution to institutional development

Required Skills

Teaching, research, student guidance and expertise in the relevant Computer Science and Engineering or Artificial Intelligence specialisation

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Salary & Compensation

Pay Scale

7th CPC Pay Level 10 (Rs. 56,100-1,77,500)

Selection Process

  1. 1 Interview
  2. 2 Document Verification

How to Apply

Application Mode: Both

Click the "Apply Now" button to visit the official application portal.

Required Documents:

  • Downloaded, signed and completed application
  • Valid OBC-NCL or EWS certificate issued on or after 2026-04-01, if applicable
  • Qualification, experience and credit-point evidence required by the detailed instructions

Frequently Asked Questions

You must submit the online application by 14 September 2026 at 5:00 PM. The signed downloaded copy must reach SVNIT separately by the stated receipt deadline.

You must meet the Schedule E qualification, experience and credit-point rules, and your PhD specialisation must match the relevant area in Annexure II.

Apply through the SVNIT online recruitment portal, then send the downloaded, signed and completed application according to the institute's instructions.

The post is in 7th CPC Pay Level 10, Rs. 56,100 to Rs. 1,77,500.

SVNIT will scrutinise applications against the required specialisation and other conditions before calling shortlisted candidates for an interview.

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