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BSSRVV Guest Faculty Recruitment 2026 | Computer Science Walk-in Interview

Birangana Sati Sadhani Rajik Vishwavidyalaya Guest Faculty Recruitment 2026

Walk-in Interview for Guest Faculty (Computer Science & Engineering) | Assam

Birangana Sati Sadhani Rajik Vishwavidyalaya (BSSRVV), Golaghat, Assam — a State University under BSSRV Act 2020, Government of Assam and recognized by UGC, has released an official notification inviting applications for Guest Faculty engagement in the Department of Computer Science and Engineering through Walk-in Interview.

This recruitment is suitable for candidates looking for Guest Faculty jobs in Assam, Computer Science teaching jobs, and University walk-in interviews 2026.


🔹 Short Information – BSSRVV Guest Faculty Recruitment 2026

Birangana Sati Sadhani Rajik Vishwavidyalaya invites eligible and interested candidates to attend a Walk-in Interview for engagement as Guest Faculty in Computer Science / Computer Engineering / Information Technology and allied disciplines. The engagement will be purely temporary and governed by University norms.


📅 Date, Time & Venue of Interview

Particular

Details

Interview Date

09 February 2026

Reporting Time

On or before 10:30 AM

Interview Time

11:00 AM sharp

Venue

Office of the Vice Chancellor, Birangana Sati Sadhani Rajik Vishwavidyalaya, Golaghat, Assam

⚠️ Candidates reporting after 10:30 AM will not be allowed to appear.


📊 Vacancy Details- BSSRVV Guest Faculty Recruitment 2026

Post Name

Department

Guest Faculty

Computer Science & Engineering

(Number of posts not specified in the notification.)


🎓 Eligibility Criteria (As per AICTE / UGC Norms)

Essential Qualification

  • B.E./B.Tech and M.E./M.Tech in:
    • Computer Science
    • Computer Engineering
    • Information Technology
    • Allied relevant disciplines
  • First Class or equivalent in either Bachelor’s or Master’s Degree

Desirable Qualification

  • Ph.D. and/or NET / SET / SLET qualification (wherever applicable) will be considered an added advantage

📝 Application Procedure- BSSRVV Guest Faculty Recruitment 2026

1.     Candidates must apply online through the official recruitment portal of BSSRVV:
👉 www.online.bssrv.ac.in

2.     After successful submission, candidates must:

o    Take a printout of the online application form

o    Bring it at the time of interview

3.     Candidates must also produce:

o    Original certificates

o    One set of self-attested photocopies of all relevant documents for verification


📄 Documents Required at Interview

Candidates should carry:

  • Printed copy of online application form
  • Educational qualification certificates & mark sheets
  • NET / SET / SLET / Ph.D. certificate (if applicable)
  • Experience certificates (if any)
  • Caste / PwD certificate (if applicable)
  • Any other relevant supporting documents

💰 Remuneration- BSSRVV Guest Faculty Recruitment 2026

  • Remuneration and terms of engagement will be governed by University rules and norms
  • The engagement is purely temporary

⚠️ General Instructions

  • Engagement will be on a temporary basis only
  • The University reserves the right to modify or cancel the advertisement or selection process without assigning any reason
  • Candidates must strictly adhere to reporting time

 


 

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FAQs – BSSRVV Guest Faculty Recruitment 2026

Q1. What is the interview date for BSSRVV Guest Faculty Recruitment 2026?
👉 09 February 2026

Q2. Which department is this recruitment for?
👉 Computer Science and Engineering

Q3. Is NET mandatory?
👉 NET/SET/SLET is desirable, not mandatory. Ph.D. holders will be given preference.

Q4. Is this a permanent job?
👉 No, this is a temporary Guest Faculty engagement.

Q5. What is the mode of selection?
👉 Walk-in Interview only.

 


 

 

Disclaimer

The exam results and marks published on this website are meant solely for the convenience of candidates and should not be considered as official or legally binding documents. While we have made every effort to ensure the accuracy of the information provided, we cannot accept responsibility for any unintentional mistakes that may appear in the results or marks. Additionally, we disclaim any liability for any loss or damage that may arise due to inaccuracies, omissions, or errors in the information displayed on this site.

 

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