ANGRAU Teaching Associate Recruitment 2026 - Walkin

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• Updated June 10, 2026 11:14 AM
• by Deepika B Officially Verified
• Applications closed on 17 June 2026. The original recruitment details are preserved below.
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• Acharya N.G. Ranga Agricultural University (ANGRAU) Teaching Associate (Contract Basis) in Artificial Intelligence and Machine Learning Notification 2026 has been released on 08 June 2026 on the official website of ANGRAU. A total of 1 vacancy has been announced through the ANGRAU Teaching Associate Recruitment 2026.
• Candidates up to 45 years of age who possess a Ph.D. in Artificial Intelligence, Machine Learning, or Computer Science, or a Master's Degree in Artificial Intelligence, Machine Learning, Computer Science Engineering, or Data Science with the prescribed experience, research publication, and NET qualification (where applicable) are eligible to apply for this Teaching Associate vacancy. The selection process will be conducted through a Walk-in Interview scheduled on 17 June 2026.
• Candidates can download the official notification PDF and attend the walk-in interview with all required original documents, self-attested photocopies, and recent passport-size photographs on the prescribed date.

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ANGRAU Teaching Associate Recruitment 2026 - Overview

ANGRAU Teaching Associate Vacancy 2026 Notification PDF

• Candidates should download and read the ANGRAU Jobs 2026 notification PDF carefully to check vacancy details, eligibility, age limit, and application instructions. The notification also includes important dates and selection process details. The direct download link is available in the Important Links section below.
• Download ANGRAU Teaching Associate Job 2026 Notification PDF

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ANGRAU Teaching Associate Recruitment 2026 - Vacancy Details

ANGRAU Teaching Associate Recruitment 2026 - Eligibility Criteria

• Ph.D. in Artificial Intelligence / Machine Learning/ Computer Science or Master's Degree in Artificial Intelligence/ Machine Learning/Computer Science Engineering/ Data Science with Bachelor's Degree of 4/5 years having first division or equivalent.
• 3 years teaching/research experience.
• One SCI/NAAS rated ≥4.0 Scopus Indexed / Thomson Reuters impact factor Journal paper.
• NET qualification if applicable.

ANGRAU Teaching Associate Recruitment 2026 - Age Limit

• Maximum Age Limit: 45 years
• Age Relaxation: 40 years for Men, 45 years for Women

ANGRAU Teaching Associate Recruitment 2026 - Salary / Stipend

• For Master's Degree holders: Rs. 61,000/- per month + HRA
• For Ph.D. holders: Rs. 67,000/- per month + HRA

ANGRAU Teaching Associate Recruitment 2026 - Important Dates

ANGRAU Teaching Associate Recruitment 2026 - Selection Process

• Walk-in Interview
• Document Verification

ANGRAU Teaching Associate Recruitment 2026 - Important Links

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Q2. What is the educational qualification required for this post?

• Candidates must possess a Ph.D. or Master's Degree in Artificial Intelligence/Machine Learning/Computer Science/Data Science, along with a Bachelor's Degree of 4/5 years with first division and relevant experience.

Q3. Is there any application fee for this recruitment?

• No, there is no application fee mentioned for any category (General/OBC, SC/ST) for this recruitment drive.

Q4. What is the age limit for the Teaching Associate position?

• The maximum age limit for candidates applying for the Teaching Associate post is 45 years. Age relaxation is applicable as per government norms.

Q5. What is the salary offered for the Teaching Associate role?

• The salary offered is Rs. 61,000/- per month + HRA for Master's Degree holders and Rs. 67,000/- per month + HRA for Ph.D. holders.

Q6. How many vacancies are available?

• There is one vacancy for the post of Teaching Associate (Contract Basis) in Artificial Intelligence and Machine Learning.

Q7. What is the selection process for this recruitment?

• The selection process will involve a Walk-in Interview followed by Document Verification.

Q9. What documents should I carry for the walk-in interview?

• Candidates must carry all original documents, self-attested photocopies of certificates, ID proof, and recent passport-size photographs.