🎓 Angrau Teaching Associate Recruitment 2026 Walk-in

The Acharya N.G. Ranga Agricultural University (ANGRAU) has announced a Walk‑in Interview for the post of Teaching Associate (Full‑Time) in Artificial Intelligence and Machine Learning at Dr. NTR College of Agricultural Engineering, Bapatla. This opportunity is offered on a contractual basis for a period of 11 months. Eligible candidates with strong academic and research backgrounds in AI, ML, Computer Science, or Data Science are invited to attend the interview. 🤖

📅 Important Details

  • 🗓️ Date of Notification: 8 June 2026
  • 👥 Post: Teaching Associate (Contract Basis, Full‑Time)
  • 🏫 Department: Basic Engineering and Applied Sciences
  • 📍 Venue: Dr. NTR College of Agricultural Engineering, Bapatla
  • 🕒 Date & Time of Interview: 17 June 2026 at 11:00 AM
  • 📄 Reporting Time: 10:00 AM on 17 June 2026

💼 Post Details

Post No. of Posts Duration Remuneration Age Limit
Teaching Associate (AI & ML) 01 11 months from the date of joining 💰 ₹ 61,000 + HRA (for Master’s Degree holders)
₹ 67,000 + HRA (for Ph.D. holders)
🔞 40 years (Men), 45 years (Women)

🎓 Essential Qualifications

  • Ph.D. in Artificial Intelligence / Machine Learning / Computer Science OR
  • Master’s Degree in AI / Machine Learning / Computer Science Engineering / Data Science OR
  • Bachelor’s Degree (4 or 5 years) in relevant discipline with first division or equivalent grade point average.
  • Minimum 3 years of teaching or research experience evidenced by Fellowship / Associateship / Training / other engagements.
  • At least one research paper published in a Science Citation Index (SCI) / NAAS rated ≥ 4.0 / Scopus Indexed / Thomson Reuters impact factor journal.
  • Candidates with postgraduate degree in Basic Sciences (3‑year Bachelor’s + 2‑year Master’s) must have qualified NET.

📋 Application Procedure

Interested candidates should attend the Walk‑in Interview on 17 June 2026 at 11:00 AM in the chamber of the Associate Dean, Dr. NTR College of Agricultural Engineering, Bapatla. Candidates must bring all original certificates along with one set of self‑attested photocopies and other relevant documents.

Applications on plain paper with bio‑data, attested copies of supporting documents, and No Objection Certificate (if employed) should be submitted at the venue by 10:00 AM on the day of the interview.

⚠️ Important Notes

  • 🚫 No TA/DA will be paid for attending the interview.
  • 🕒 The appointment is purely temporary and contractual for 11 months or until regular staff is appointed.
  • 📄 The selected candidate will undergo a medical examination at their own expense before appointment.
  • 📢 The Associate Dean reserves the right to cancel or postpone the interview due to unavoidable circumstances.
  • ✅ The decision of the selection committee is final and binding in all respects.

🌐 Official Contact

Institute: Dr. NTR College of Agricultural Engineering, Bapatla 
University: Acharya N.G. Ranga Agricultural University (ANGRAU) 
Website:https://angrau.ac.in

📋 Selection Procedure and Interview Process

The recruitment for the post of Teaching Associate (Full‑Time) in Artificial Intelligence and Machine Learning at Dr. NTR College of Agricultural Engineering, Bapatla will be conducted through a Walk‑in Interview. Candidates possessing the required qualifications and experience are invited to attend the interview directly at the specified venue.

🧾 Step‑by‑Step Process

  1. 📅 The Walk‑in Interview will be held on 17 June 2026 at 11:00 AM.
  2. 🕙 Candidates must report by 10:00 AM with their application and documents.
  3. 🏢 Venue: Chamber of the Associate Dean, Dr. NTR College of Agricultural Engineering, Bapatla.
  4. 📄 Candidates should bring all original certificates along with one set of self‑attested photocopies.
  5. 🧾 Application must be submitted on plain paper with bio‑data and attested copies of supporting documents.
  6. 📋 Employed candidates must produce a No Objection Certificate (NOC) from their employer.
  7. ⚖️ Selection will be based on academic qualifications, research experience, and interview performance.

🧠 Evaluation Criteria

  • 🎓 Academic excellence in Artificial Intelligence, Machine Learning, Computer Science, or Data Science.
  • 🧪 Research experience evidenced by publications in SCI/Scopus/NAAS‑rated journals.
  • 💬 Communication and teaching skills relevant to engineering and applied sciences.
  • 📈 Practical experience in AI/ML applications and data‑driven research.
  • 🌟 NET qualification (for candidates from Basic Sciences background).

💼 Contract Terms and Conditions

The appointment will be on a purely temporary and contractual basis for a period of 11 months from the date of joining. The engagement will automatically terminate after completion of the contract period or upon appointment of regular staff, whichever is earlier.

📜 Key Contract Clauses

  • 🕒 The engagement is temporary and does not confer any right to regular appointment in the University or any government organization.
  • ⚖️ No TA/DA will be paid for attending the interview.
  • 📄 The selected candidate must undergo a medical examination at their own expense before appointment.
  • 📅 Either party may terminate the contract by giving one‑month notice or paying one‑month salary in lieu of notice.
  • 🚫 Candidates cannot surrender one‑month salary instead of serving the notice period; full notice must be served.
  • 📋 Leave and other benefits will be governed by institutional policy for contractual staff.

📑 Document Verification at Interview

Candidates must produce the following documents at the time of interview:

  • Original certificates of educational qualifications (Bachelor’s, Master’s, Ph.D.).
  • Experience certificates and proof of research publications.
  • Date of birth proof (Matriculation Certificate or equivalent).
  • Identity proof (Aadhaar, PAN, Voter ID, or Driving License).
  • One recent passport‑size photograph.
  • NOC from employer (if applicable).

⚠️ Disqualification and Rejection Criteria

  • Submission of false or misleading information will lead to immediate disqualification.
  • Candidates failing to produce original documents will not be allowed to attend the interview.
  • Applications without required documents or incomplete bio‑data will be rejected.
  • Canvassing in any form will result in disqualification.

🌐 Transparency and Institutional Rights

The Associate Dean reserves the right to cancel or postpone the interview due to unavoidable circumstances. The decision of the Selection Committee will be final and binding in all respects. Updates or changes, if any, will be displayed on the official website: https://angrau.ac.in

💻 Responsibilities of Teaching Associate

The selected candidate for the Teaching Associate (AI & ML) position will play a vital role in strengthening academic and research activities in the Department of Basic Engineering and Applied Sciences. This role involves teaching, mentoring, and contributing to applied research in Artificial Intelligence, Machine Learning, and Data Science.

📌 Key Duties

  • 📖 Deliver lectures and practical sessions in Artificial Intelligence, Machine Learning, and related subjects.
  • 🧪 Guide undergraduate and postgraduate students in research projects, assignments, and laboratory work.
  • 📊 Conduct applied research in AI/ML with focus on agricultural engineering applications.
  • 📝 Prepare teaching materials, research papers, and contribute to academic publications.
  • 🤝 Collaborate with faculty members and research scholars for interdisciplinary projects.
  • 🌍 Support the integration of AI/ML technologies into agricultural practices and innovations.

🧠 Skills Required

To excel in this position, candidates must demonstrate strong academic knowledge, teaching ability, and research aptitude.

  • 🎓 Advanced knowledge in Artificial Intelligence, Machine Learning, Computer Science, or Data Science.
  • 🧮 Ability to design and implement AI/ML algorithms for practical applications.
  • 📈 Research skills with proven publications in SCI/Scopus/NAAS‑rated journals.
  • 💬 Effective communication and presentation skills for teaching and mentoring students.
  • 🧩 Problem‑solving ability and adaptability in a dynamic academic environment.
  • 🌟 Commitment to academic excellence and innovation in agricultural engineering.

🏢 Work Environment

The Teaching Associate will work in a collaborative and research‑oriented environment at Dr. NTR College of Agricultural Engineering, Bapatla. The college provides opportunities to engage in cutting‑edge research and contribute to the academic growth of students.

  • 🏫 Access to modern classrooms and laboratory facilities.
  • 👩‍🏫 Interaction with students from diverse academic backgrounds.
  • 🌍 Exposure to interdisciplinary research in engineering and agricultural sciences.
  • 📚 Scope for contributing to publications, conferences, and academic workshops.
  • ⚖️ Professional growth through teaching, research, and collaborative projects.

⚖️ Importance of the Role

The Teaching Associate (AI & ML) position is crucial for advancing education and research in emerging technologies. By integrating Artificial Intelligence and Machine Learning into agricultural engineering, the selected candidate will contribute to innovative solutions that enhance productivity, sustainability, and modernization in agriculture. 🌟

❓ Frequently Asked Questions (FAQ)

To assist applicants, here are some common queries and answers regarding the Teaching Associate recruitment at Dr. NTR College of Agricultural Engineering, Bapatla.

📌 What is the date of the interview?
The Walk‑in Interview will be held on 17 June 2026 at 11:00 AM.
📌 What is the reporting time?
Candidates must report by 10:00 AM with their application and documents.
📌 How many posts are available?
There is 1 post for Teaching Associate (AI & ML).
📌 What is the salary?
Master’s Degree holders: ₹61,000 + HRA per month. Ph.D. holders: ₹67,000 + HRA per month.
📌 What is the tenure of the appointment?
The appointment is purely temporary for 11 months or until regular staff is appointed, whichever is earlier.
📌 What is the age limit?
Maximum age: 40 years for men and 45 years for women.
📌 What qualifications are required?
Ph.D. or Master’s in AI/ML/Computer Science/Data Science, or Bachelor’s degree with first division plus relevant experience and publications. NET qualification is required for candidates from Basic Sciences background.
📌 Is this a permanent position?
No. This is a temporary contractual post with no claim for regular appointment in the University or government organizations.
📌 What documents should candidates bring?
Original certificates, self‑attested photocopies, bio‑data, NOC (if employed), and one passport‑size photograph.

🏁 Conclusion

The Teaching Associate (AI & ML) Recruitment 2026 at Dr. NTR College of Agricultural Engineering, Bapatla offers an excellent opportunity for qualified professionals to contribute to academic and research excellence in emerging technologies. With a focus on Artificial Intelligence and Machine Learning, this role bridges modern computing with agricultural engineering, fostering innovation and sustainable practices.

Candidates with strong academic backgrounds, research publications, and teaching experience are encouraged to attend the Walk‑in Interview on 17 June 2026. This position not only provides professional growth but also allows individuals to contribute to the advancement of agricultural education and technology. 🌟

By joining this project, the selected Teaching Associate will gain valuable exposure, enhance their academic career, and play a pivotal role in integrating AI/ML into agricultural engineering for the benefit of society. 🚀