RGU Teaching Assistant (Statistics) Walk-In 2026
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RGU Teaching Assistant (Statistics) Walk-In 2026

Rajiv Gandhi University - Department of Statistics

Vacancy

1

Salary

Consolidated salary of Rs. 1,000 per class, subject to a maximum of Rs. 40,000 per month.

Job Type

temporary

full time

Apply By

22 Jul 2026

About This Job

Apply for Teaching Assistant post in RGU Statistics dept. M.Sc. Statistics with NET/JRF eligible. Walk-in on 22 July 2026.

Rajiv Gandhi University (RGU) is hiring 1 Teaching Assistant for its Department of Statistics on a temporary, semester-wise basis. If you hold an M.Sc. in Statistics with 55% marks along with UGC-NET/JRF (Ph.D. holders are exempted from NET/JRF), you can walk in for the interview directly. The walk-in interview is on 22 July 2026 at 10:00 AM at the Department of Statistics office. You will get a consolidated salary of up to Rs. 40,000 per month.

Rajiv Gandhi University (RGU) Teaching Assistant Walk-In-Interview 2026 - 1 Post

Rajiv Gandhi University (RGU), established in 2007 through an Act of Parliament of India, is a Central University located at Rono Hills, Doimukh (Itanagar), Arunachal Pradesh. The University has announced a walk-in interview for 1 Teaching Assistant post in its Department of Statistics vide Advertisement No. ET/GF-356/STAT/2021 dated 14 July 2026. No written exam is required for this post — selection is done directly through the walk-in interview. This opening suits M.Sc. Statistics graduates who have cleared NET/JRF and want teaching experience at a central university.

If unforeseen circumstances such as a natural calamity or bandh call disrupt the schedule on the interview date, the University will conduct the interview on the next working day instead. This flexibility means you should still plan to be ready on 22 July 2026 unless the department informs you otherwise.

Who Can Apply?

  • Qualification: M.Sc. with Statistics specialization, with at least 55% marks (or equivalent grade on a point-scale) from a university/institute recognized by UGC/AICTE/AIU.
  • Mandatory: You must have cleared UGC-NET/JRF.
  • Exemption: If you hold a Ph.D., you are exempted from the NET/JRF requirement.
  • Desirable: Prior teaching experience will be given preference.

Since this is a subject-specific Teaching Assistant post, make sure your M.Sc. mark sheet clearly shows Statistics as your specialization. If your NET/JRF certificate or Ph.D. degree is still pending, carry the latest provisional document along with a covering letter — the interview panel will check your eligibility documents on the spot before considering you for selection.

Salary

  • You will get a consolidated salary of Rs. 1,000 per class, subject to a maximum of Rs. 40,000 per month.
  • No other allowances are mentioned in the notification.

Because payment is linked to the number of classes you take, your actual monthly earning can vary within this ceiling depending on your teaching load during the semester.

Selection Process (No Written Exam)

Selection is based only on the walk-in interview:

  1. Document Check: Bring your original academic documents, photocopies, photo ID, and passport photos for verification at the venue.
  2. Walk-In Interview: Held on 22 July 2026 at 10:00 AM in the Office Chamber of the Department of Statistics.

How to Apply

  1. Reach the Department of Statistics, Rajiv Gandhi University, Rono Hills, Doimukh (Itanagar) by 22 July 2026, 10:00 AM.
  2. Carry a bio-data mentioning your qualification, experience, and specialization.
  3. Bring all original academic documents plus one photocopy of each.
  4. Carry a valid photo ID (Aadhaar Card, PAN Card, etc.).
  5. Bring 2 passport-size photographs.
  6. Attend the interview directly — no online application and no TA/DA is provided for attending.

Since this is a walk-in process, there is no online registration portal — simply showing up on time with the right documents is enough to be considered for the Teaching Assistant post.

Important Dates

  • Advertisement Date: 14 July 2026
  • Walk-In Interview Date: 22 July 2026
  • Interview Time: 10:00 AM

Responsibilities

  • Assist faculty members in delivering lectures and practical classes in Statistics
  • Prepare teaching materials, assignments, and evaluation sheets
  • Guide students during tutorials and lab sessions
  • Help conduct internal assessments and record student performance
  • Support the department in academic administration and documentation work
  • Maintain attendance and academic records for assigned classes

Eligibility Criteria

Minimum Qualification

M.Sc. with Statistics specialization, 55% marks (or equivalent grade) from a UGC/AICTE/AIU recognized university, with UGC-NET/JRF cleared. Ph.D. holders exempted from NET/JRF.

Preferred Qualification

Prior teaching experience

Required Skills

Teaching, subject expertise in Statistics

Am I eligible?

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Salary & Compensation

Pay Scale

Consolidated salary of Rs. 1,000 per class, subject to a maximum of Rs. 40,000 per month.

Selection Process

  1. 1 Document Verification
  2. 2 Interview

How to Apply

Application Mode: offline

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

Required Documents:

  • Original academic certificates and mark sheets
  • Photocopies of academic documents
  • Valid photo ID (Aadhaar Card, PAN Card, etc.)
  • 2 passport-size photographs
  • Bio-data with qualification, experience, and specialization details

Frequently Asked Questions

The walk-in interview for the Teaching Assistant, Department of Statistics post at Rajiv Gandhi University is on 22 July 2026 at 10:00 AM.

You need an M.Sc. in Statistics with 55% marks from a recognized university and must have cleared UGC-NET/JRF. Ph.D. holders are exempted from NET/JRF.

There is no online application. Simply attend the walk-in interview on 22 July 2026 at 10:00 AM at the Department of Statistics with your original documents.

You will get a consolidated salary of Rs. 1,000 per class, up to a maximum of Rs. 40,000 per month.

No, there is no written exam. Selection is based only on the walk-in interview.

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