Ph.D. Position

Ph.D. Position in Multimodal Geospatial AI: Deep Learning for Multispectral, Hyperspectral and SAR Earth Observation

The Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, invites applications from highly motivated candidates for a Full-Time Ph.D. position under the guidance of

Dr. J. Aravinth

About the Project

Research Problem

• Massive volumes of Multispectral, Hyperspectral, and Synthetic Aperture Radar (SAR) data create challenges in storage, transmission, and real-time processing.
• Effective integration of complementary spectral, spatial, and structural information from heterogeneous sensors remains a significant research challenge.
• High dimensionality, data redundancy, and varying sensor characteristics often limit the accuracy and efficiency of Earth observation systems.

Objective

• Develop AI-driven frameworks for multi-sensor data fusion, hyperspectral band selection, data compression, and image reconstruction.
• Design intelligent and computationally efficient models for extracting meaningful information from multisource remote sensing data.

Expected Outcomes

• Novel deep learning models for Multispectral–SAR and Hyperspectral–SAR data fusion.
• Efficient band selection, compression, and reconstruction techniques for high-dimensional remote sensing data.
• Improved accuracy reduced computational complexity, and enhanced interpretability of Earth observation products.

Potential Applications

• Precision Agriculture and Crop Health Monitoring
• Drought Assessment and Climate Resilience Studies
• Flood Mapping and Disaster Management
• Water Quality Monitoring
• Mineral Exploration and Geological Mapping
• Environmental Monitoring and Sustainable Resource Management

Eligibility

Candidates with any of the following qualifications are encouraged to apply:

• M.Tech./M.E. in Electronics and Communication Engineering, Computer Science and Engineering, Information Technology, Signal Processing, Artificial Intelligence, Machine Learning, Data Science, Remote Sensing, Geoinformatics, or related disciplines.

• M.Sc. in Remote Sensing, Geospatial Science, Physics, Mathematics, Computer Science, Artificial Intelligence, Data Analytics, or allied fields with a strong quantitative background.

Desired Skills

• Programming experience in Python, MATLAB, or related scientific computing environments.

• Knowledge of Machine Learning, Deep Learning, Computer Vision, Image processing.

• Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras and experience handling large-scale datasets.

Prior research/publication experience is desirable but not mandatory.

Funding & Research Support

✅ Fellowship of ₹30,000–₹40,000 per month, with enhanced opportunities up to ₹55,000 per month

✅ Research infrastructure support up to ₹10 Lakhs

✅ Publication support up to ₹6 Lakhs

✅ International collaboration and conference travel funding

✅ Innovation, patent, and startup ecosystem support

Location

Campus: Coimbatore

How to Apply

Project Code:CBEECE002

Click the Project Code above to view the project details and apply through the admissions portal.

For project-specific queries, contact:

Dr. J.Aravinth

[Confidential Information]

Applications will be reviewed on a rolling basis until the position is filled.

#PhDPosition #ResearchOpportunity #ResearchScholar #DoctoralResearch #ArtificialIntelligence #ComputerScience #EngineeringResearch #Innovation #ResearchCareers #HigherEducation