Project Associate – Machine Learning for Climate-Resilient Agriculture

IIT (BHU) is seeking a Project Associate for a DST-funded research project on Machine Learning for Climate-Resilient Agriculture in Varanasi, India. The role involves conducting research, developing computational models, and collaborating on data analysis. Candidates should have a Master's degree in Computer Science, Data Science, or Mathematics, with a maximum age of 35. The position offers a salary of ₹31,000 per month and is temporary until August 2025.
Job Title: Project Associate – Machine Learning for Climate-Resilient Agriculture

Summary:

Applications are invited for one Project Associate position to work on a DST-funded research project titled The position is purely temporary and co-terminus with the project, which is sanctioned until August 2025.

Designation: Project Associate

Subject Area: Computer Science, Data Science, Mathematics, Machine Learning

Location: Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi

Eligibility/Qualification:
• Essential Qualification: First-class Master’s degree in Computer Science, Data Science, Mathematics, or equivalent
• Upper Age Limit: 35 years (Relaxable by 5 years for reserved category candidates)

Job Description:
• Conduct research in machine learning applications for analyzing traditional Indian agricultural practices.
• Develop and test computational models to assess climate change vulnerabilities in agriculture.
• Collaborate with researchers for data collection, processing, and model evaluation.
• Prepare research reports and assist in project documentation.

Salary: ₹31,000/- per month (for six months, extendable based on project requirements)

How to Apply:

Interested candidates must send their detailed CV, including academic records (mark sheets & certificates) and any relevant research or work experience, to Dr. Ruchir Gupta, Associate Professor, Department of Computer Science and Engineering, IIT (BHU), Varanasi, at rgupta.cse@iitbhu.ac.in within three weeks from the date of advertisement.

Last Date to Apply: Within three weeks from the date of advertisement.

Note: No TA/DA will be provided for attending the interview.

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