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SRM University-AP

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 flag

Country

India

University

SRM University-AP

Ongoing program

ICIQ Fully-Funded PhD Programme

by Institute of Chemical Research of Catalonia (ICIQ)

Fully Funded
PhD
Up To 4 Years
Spain

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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Keywords

Computer Science
Data Science
Geology
Environmental Science
Remote Sensing
Geography
Hydrology
Artificial Intelligence
Spatial Analysis
Earth Science
Earth Observation
Environmental Sustainability
Disaster Risk Reduction
Statistics
ML

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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