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SRM University-AP
1 month ago
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Fully Funded PhD in Groundwater Contamination Mapping using Remote Sensing, GIS, AI/ML and Data Science SRM University–AP in India
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD for 3 years, covering the doctoral research period from January 2027 to December 2029. No stipend amount or tuition details are specified in the post.
Deadline
Oct 12, 2026
Country
India
University
SRM University-AP
Ongoing programICIQ Fully-Funded PhD Programme
by Institute of Chemical Research of Catalonia (ICIQ)
The ICIQ Fully-Funded PhD Programme supports doctoral research in chemistry and related fields in Spain, offering salaried pre-doctoral contracts, social security coverage, and advanced research training.
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About this position
Fully funded PhD opportunity at SRM University–AP in collaboration with UN-SPIDER UK RSO and the University of Lancashire, UK.
Research theme: Groundwater contamination mapping using remote sensing, geospatial analysis, artificial intelligence, and data science. The project focuses on developing advanced approaches for mapping, monitoring, and assessing groundwater contamination by integrating satellite data, GIS/geospatial techniques, and AI/ML, with an emphasis on sustainable groundwater resource management and disaster risk reduction.
Supervision: Dr Suraj Bhagat (SRM University–AP), Dr Kausik Das (SRM University–AP), and Dr Komali Kantamaneni (University of Lancashire, UK).
Relevant study areas: Environmental Science, Hydrology, Geology, Geospatial Analytics, Earth Observation, GIS, Remote Sensing, Computer Science, AI/ML, and Data Science.
Funding: Fully funded for 3 years, with the programme running from January 2027 to December 2029.
Deadline: 12 October 2026.
Contact: Dr. Suraj Kumar Bhagat, [email protected]
Funding details
Fully funded PhD for 3 years, covering the doctoral research period from January 2027 to December 2029. No stipend amount or tuition details are specified in the post.
What's required
Candidates interested in Remote Sensing, GIS, AI/ML, Environmental Science, Hydrology, Geology, Geospatial Analytics, and Computer Science are encouraged to apply. The post does not specify degree class, GPA, language test, or prior publication requirements.
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