Suraj Bhagat
3 months ago
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PhD in Environmental Data Science, AI/ML, Remote Sensing and Water Resources SRM University, AP in India
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position with stipend and research support, or a competitive scholarship depending on funding source. The poster also mentions a fellowship of ₹36,000 per month for the first two years and ₹41,000 per month for the subsequent two years, plus a Professional Development Grant of ₹20,000 per annum for the first two years and ₹30,000 per annum for the subsequent two years. Annual tuition is fully waived (Rs. 41,000) and subsidised boarding and lodging are offered.
Deadline
Aug 10, 2026
Country
India
University
SRM University-AP
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About this position
SRM University, AP (Centre for Interdisciplinary Research, CIDR) is inviting applications for a PhD position in Environmental Data Science / Application of AI-ML and Advanced Computing.
The project is strongly research-oriented and combines artificial intelligence, machine learning, quantum machine learning (QML), AutoML, SWAT modeling, remote sensing, geospatial analysis, and time-series analysis to solve environmental and water-resource problems. Example topics include pollution and contamination prediction, rainfall forecasting, water quality monitoring (drinking water, groundwater, rivers, aquaculture), hydrological assessment, sediment load forecasting, meteorological monitoring, and smart water/wastewater treatment.
Eligibility highlights: applicants should hold an M.Tech/MSc or equivalent in Computer Science, Civil/Environmental Engineering, Environmental Science, Geoinformatics, Remote Sensing, Atmospheric Science, or a related field. Strong Python/R programming skills, experience with ML libraries and geospatial tools, and familiarity with time-series methods, remote sensing data, SWAT or hydrologic models, and AutoML/QML are preferred. Good analytical, communication, and scientific writing skills are important; field sampling or lab analysis experience is a plus. GATE/NET qualification is preferred.
Funding: the post is described as fully funded with stipend and research support, or a competitive scholarship depending on the funding source. The poster also mentions fellowship support of ₹36,000/month for the first two years and ₹41,000/month for the next two years, plus a Professional Development Grant of ₹20,000/year for the first two years and ₹30,000/year for the subsequent two years. Annual tuition is fully waived and subsidised boarding and lodging are offered.
How to apply: email a single PDF containing your CV, a one-page research statement, and contact details of two referees to [email protected]. Use the subject line “PhD Application—Environmental Data Science_
Deadline: 2026-08-10.
Funding details
Fully funded PhD position with stipend and research support, or a competitive scholarship depending on funding source. The poster also mentions a fellowship of ₹36,000 per month for the first two years and ₹41,000 per month for the subsequent two years, plus a Professional Development Grant of ₹20,000 per annum for the first two years and ₹30,000 per annum for the subsequent two years. Annual tuition is fully waived (Rs. 41,000) and subsidised boarding and lodging are offered.
What's required
Applicants should have an M.Tech/MSc or equivalent in Computer Science, Civil/Environmental Engineering, Environmental Science, Geoinformatics, Remote Sensing, Atmospheric Science, or a related field. Strong programming skills in Python or R and experience with ML libraries and geospatial tools are expected. Familiarity with time-series methods, remote sensing data, SWAT or hydrologic models, and AutoML/QML approaches is preferred. Good analytical, communication, and scientific writing skills are required; field sampling or lab analysis experience is beneficial but not mandatory. GATE/NET qualification is preferred.
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