Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior has opened a fresh project position for a Research Assistant/Intern on AgriCide, an AI-guided autonomous agricultural robot being developed for targeted micro-dose herbicide weed control. The official advertisement is dated 19 October 2026, and applications close on 29 October 2026. The role is especially relevant for candidates who want hands-on exposure to artificial intelligence outside a conventional software-only environment. Work on the project can include computer vision and deep learning for crop and weed detection, autonomous navigation, sensor fusion, robot design, LiDAR and stereo-camera integration, embedded systems, robotic control and field testing. The position carries a verified stipend of ₹18,000 per month and is initially offered for six months, with possible quarterly renewal depending on performance, funding and the remaining project period. At a basic level, candidates should be pursuing or have completed a B.Tech or other undergraduate programme related to the project. Prior exposure to Python, C++, OpenCV, PyTorch, TensorFlow, ROS, embedded systems or robotics can strengthen an application but is listed as desirable rather than a mandatory qualification. Hybrid work may sometimes be permitted, although in-person participation is preferred.
Recruitment Overview
| Particular | Details |
|---|---|
| Organisation | Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior |
| Project | AgriCide: An AI-Guided Autonomous Robot for Targeted Micro-Dose Herbicide Weed Control |
| Sponsor | AgriHub, IIT Indore under MeitY |
| Position | Research Assistant/Intern |
| Advertisement date | 19 October 2026 |
| Last date to apply | 29 October 2026 |
| Location | Gwalior, Madhya Pradesh |
| Work mode | In-person preferred; hybrid may sometimes be permitted |
| Initial tenure | 6 months |
| Stipend | ₹18,000 per month |
| Application mode | Online form |
| Interview | Shortlisted candidates will be informed by email |
Position Details
The advertisement refers to a Research Assistant/Intern position for the AgriCide project. It does not publish a separate vacancy-count figure, so no vacancy number has been invented in this package.
The work is research- and prototype-oriented, with a strong focus on applying AI and robotics to precision agriculture.
Basic Eligibility
Candidates should be pursuing or have completed a B.Tech or another undergraduate programme in an area related to the project.
The public qualification summary is intentionally concise. Applicants should read the official notice before applying and judge whether their academic field meaningfully connects with AI, robotics, electronics, computer science, embedded systems, agricultural automation or another project-relevant area.
Desirable Technical Exposure
| Area | Useful experience |
|---|---|
| Programming | Python or C++ |
| Computer vision | OpenCV |
| Deep learning | PyTorch or TensorFlow |
| Robotics | ROS / ROS2 |
| Hardware | Embedded systems and sensors |
| Design | CAD and robotic platform work |
| Navigation | Autonomous navigation and sensor fusion |
| Field work | Data collection, calibration and testing |
These skills are desirable, not stated as mandatory. Prior internship or sponsored-project experience is also preferred.
Project Work
AgriCide is intended to develop an AI-enabled autonomous agricultural robot capable of supporting targeted weed-control operations. Depending on project needs, the selected candidate may contribute to computer-vision pipelines, deep-learning models, robotic platform integration, sensor fusion, navigation, arm or end-effector control, calibration and laboratory or field trials.
The project therefore combines machine learning with physical systems rather than limiting the role to model training alone.
Stipend and Tenure
The verified stipend is ₹18,000 per month, subject to monthly progress assessment.
The initial engagement is for six months. It may be renewed quarterly, subject to performance, funding availability and project duration. The advertisement also states that the position can be terminated during the engagement.
Age Limit and Application Fee
The official advertisement does not state an age limit and does not state an application fee.
Candidates should not rely on third-party assumptions for either field.
Selection Process
There is no mass written examination mentioned in the notice.
Applications will first be reviewed for completeness and suitability. Only shortlisted candidates will be informed by email about the next stage, including the interview process.
Important Dates
| Event | Date |
|---|---|
| Official advertisement date | 19 October 2026 |
| Last date to submit application | 29 October 2026 |
| Interview | To be notified to shortlisted candidates by email |
How to Apply for ABV-IIITM Gwalior AgriCide AI Recruitment 2026
- Open the official ABV-IIITM Gwalior recruitment page and confirm that the AgriCide Research Assistant/Intern position remains active.
- Read the official one-page advertisement carefully before completing the form.
- Use the Eligibility Pre-check to compare the basic academic requirement with your profile.
- If you plan to highlight previous internships or project work, use the Work Experience Calculator to organise the dates accurately without double-counting overlaps.
- Prepare academic and project records using the Government Job Document Checklist.
- Because the deadline is close, add 29 October 2026 to the Application Deadline Planner and set yourself an earlier personal submission target.
- Complete the official online application form and attach all requested documents.
- Recheck the form before submission. The advertisement states that incomplete forms or missing documents will not be considered.
- Monitor the email address used in the application for shortlisting or interview communication.
For a broader application workflow, see How to Apply for Government Jobs in India.
Documents to Keep Ready
| Document / record | Why it matters |
|---|---|
| Current academic records | To support the B.Tech/UG status entered |
| Resume / CV | To present relevant AI, robotics and project exposure |
| Project or internship evidence | Useful for demonstrating practical work |
| Technical portfolio or repository links | Helpful where permitted for showing hands-on ability |
| Supporting certificates | To substantiate claims made in the application |
| Application acknowledgement | Keep a record after submission |
Candidate Notes
- This is a project research role, not a permanent institute appointment.
- The strongest fit is for candidates comfortable working across both AI software and physical robotic systems.
- In-person work is preferred even though limited hybrid work may sometimes be permitted.
- The stipend is subject to monthly progress assessment.
- Field testing may require travel for data collection.
- Check the official recruitment page again before applying in case the institute posts an update.
Important Links
| Link | Purpose |
|---|---|
| Official ABV-IIITM Recruitment Page | Current vacancy status |
| Official AgriCide Advertisement | Detailed recruitment terms |
| Official Online Application Form | Submit application |
| ABV-IIITM Gwalior | Institute website |
FAQ
What is the position advertised by ABV-IIITM Gwalior?
The institute is inviting applications for a Research Assistant/Intern on the AgriCide AI-guided autonomous agricultural robotics project.
What is the last date to apply?
The application deadline is 29 October 2026.
What is the stipend?
The verified stipend is ₹18,000 per month, subject to monthly progress assessment.
What is the basic qualification?
Candidates should be pursuing or have completed a B.Tech or another undergraduate programme related to the project.
Is prior AI or robotics experience mandatory?
The notice lists hands-on experience with AI, computer vision, robotics and related tools as desirable rather than mandatory.
How long is the appointment?
The initial term is six months, with possible quarterly renewal depending on performance, funding and project duration.
Is the role fully remote?
No. The advertisement says in-person work is preferred, although hybrid work may sometimes be permitted.
How will candidates be selected?
Applications are shortlisted first, and only shortlisted candidates will receive further interview-stage communication by email.