Job Opportunity at SKUAST-Kashmir: Senior Research
Job Opportunity at SKUAST-Kashmir: Senior Research Fellow under Agri-Excellence Project (Salary ₹49,560)
This project, titled “Application of Electronics and ICT in Himalayan Region Crop Management (Agri-Excellence)”, aims to revolutionize the agricultural practices of the Himalayan region through advanced technology and innovation. Under this initiative, researchers will explore how Artificial Intelligence (AI), robotics, and electronic systems can transform traditional farming into more efficient, data-driven, and sustainable methods.
About the Project
Agriculture remains the backbone of Jammu and Kashmir’s economy, and SKUAST-K has consistently been at the forefront of bringing modern scientific innovation to local farming. The Agri-Excellence Project focuses on integrating electronics, sensors, and ICT tools to enhance crop productivity and efficiency, especially for high-value crops like saffron, which is an integral part of Kashmir’s cultural and economic heritage.
The project particularly emphasizes the development of an Agri-bot (agricultural robot) for weed management in saffron fields—a task that is both labor-intensive and time-consuming when done manually. By introducing automation in saffron cultivation, the project aims to reduce workload, minimize errors, and increase yield.
This initiative also aligns with the broader national goal of Digital Agriculture, encouraging innovation-driven research and entrepreneurship in the agri-tech sector.
Position Overview
Position Title: Senior Research Fellow (SRF)
Number of Vacancies: 01
Monthly Salary: ₹49,560
Project Name: Application of Electronics and ICT in Himalayan Region Crop Management (Agri-Excellence)
Sub-Project: Saffron Improvement Programme (SIP)
Project Duration: The position is purely contractual and co-terminus with the project duration.
Key Responsibilities
The selected SRF will work closely with the project’s principal investigator and research team at SKUAST-K’s Centre for Artificial Intelligence and Machine Learning (CAIML). The role will involve a mix of laboratory research, field trials, and prototype development.
Primary duties will include:
- Designing, assembling, and testing sensor-based systems for field data collection.
- Developing algorithms and control systems for the Agri-bot.
- Programming and integration of software modules using Python or C/C++.
- Collaborating with agricultural scientists to ensure the developed technology aligns with on-ground needs.
- Preparing progress reports, research papers, and assisting in technical documentation.
The SRF will also contribute to the university’s broader efforts to make technology-driven agriculture accessible to small and marginal farmers in the Himalayan region.
Eligibility Criteria
Candidates must meet at least one of the following educational qualifications:
- M.Tech in Electronics and Communication Engineering (ECE) with a valid GATE/NET qualification.
- Ph.D. in a relevant discipline (Electronics, Communication, or similar).
- OR M.Tech with at least two years of relevant experience in related research or development work.
Required Skills and Experience
The ideal candidate should possess hands-on experience and strong theoretical knowledge in the following domains:
- Sensor Integration: Ability to work with IoT and sensor modules for agricultural monitoring.
- Circuit Design and Hardware Prototyping: Understanding microcontrollers, PCB design, and hardware debugging.
- Programming Expertise: Proficiency in Python and C/C++, with experience in robotics or embedded systems.
- Data Handling & AI Concepts: Basic understanding of AI, data analytics, and automation tools will be an added advantage.
Apart from technical expertise, the university values candidates who demonstrate teamwork, research aptitude, and a passion for applying technology to solve real-world agricultural challenges.
Application Process
Interested candidates must apply in the prescribed format available on the official SKUAST-K website: www.skuastkashmir.ac.in.
Applicants are required to submit a hard copy of the completed application form along with:
- Detailed Curriculum Vitae (CV)
- Academic qualification certificates
- Experience certificates (if any)
- Proof of NET/GATE qualification
- Copies of publications, patents, or research work (if applicable)
All documents must be sent or delivered by hand to the following address:
Office of Incharge/Head,
Centre for Artificial Intelligence & Machine Learning (CAIML),
Discovery Building, SKUAST-K, Shalimar, Srinagar – 190025
Last Date to Apply: October 17, 2025 (up to 4:00 PM)
Applications received after the deadline will not be considered.
Selection Procedure
The selection process will involve shortlisting based on academic merit, experience, and research potential. Shortlisted candidates will be invited for an interview, which may be conducted in person or online, depending on the university’s discretion.
Important Note:
- No TA/DA (Travel Allowance/Dearness Allowance) will be paid for attending the interview.
- The date and time of the interview will be communicated via email or through the official SKUAST-K website.
Candidates are advised to regularly check their emails and the university’s official notifications for updates.
About SKUAST-Kashmir
The Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir (SKUAST-K) is a premier agricultural university in the Union Territory of Jammu & Kashmir, established to promote education, research, and extension in agricultural and allied sciences.
Located in the scenic Shalimar campus of Srinagar, SKUAST-K has evolved into a hub of innovation and interdisciplinary research. Its collaborations with national institutions and ministries—like MeitY, ICAR, and DST—reflect its growing focus on integrating technology, AI, and sustainable farming practices for the region’s agricultural upliftment.
Through projects like Agri-Excellence, SKUAST-K is shaping the next generation of researchers and technologists who will lead India’s transformation in smart and sustainable agriculture.
Why This Role Matters
Kashmir’s saffron cultivation, famous worldwide for its quality, has long suffered due to traditional manual processes, unpredictable weather, and high labor costs. Introducing automation through Agri-bots and smart monitoring can be a game-changer.
This research could not only improve saffron yield and quality but also set a precedent for using AI-driven solutions in other Himalayan crops like apple, walnut, and paddy.
By joining this project, the selected SRF won’t just gain valuable research experience — they’ll actively contribute to transforming Kashmir’s agricultural landscape.
Contact Information
For any queries or clarifications regarding the position or application process, candidates can reach out to:
📧 Email: plagri-excellence@skuastkashmir.ac.in
Issued by:
Dr. Syed Zamoor Hussain
Professor & Chief Principal Investigator
Agri-Excellence Programme, Division of Food Science and Technology (FST),
SKUAST-K, Shalimar, Srinagar
Official Notification Reference:
Advertisement Notice No. AU/FST/MeitY/2025/M-1/409-411
Dated: 07 October 2025
Final Thoughts
This recruitment drive is an excellent opportunity for young engineers and researchers who wish to work at the intersection of technology and agriculture. SKUAST-K’s initiative showcases how higher education institutions are embracing AI, machine learning, and robotics to address local challenges and promote sustainable development in rural India.
For those passionate about innovation and societal impact, this is not just a job — it’s a chance to contribute to a scientific movement that blends traditional wisdom with modern technology.
In summary:
- Post: Senior Research Fellow (SRF)
- Salary: ₹49,560/month
- Qualification: M.Tech (ECE) with GATE/NET or Ph.D. in relevant field
- Skills: Sensor integration, circuit design, programming (Python/C++)
- Project: Agri-Excellence (Saffron Improvement Programme)
- Apply By: October 17, 2025
- Official Website: www.skuastkashmir.ac.in
Pervaiz Khan
Tech journalist with 3+ years' experience covering AI, jobs & education. Exploring tech's impact on our future.
