Suraj Bhagat

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_ .” Applications are reviewed on a rolling basis. Deadline: 2026-08-10.