Satellite Imagery & Earth Observation AI — Research Internship
3-month research internship combining satellite remote sensing with deep learning for Earth Observation analytics.
Duration
3 Months
Program Type
Deep Research Program
Mode
Online / Offline
Internship Focus
Applying deep learning to satellite imagery for land-cover mapping, change detection, or disaster monitoring research.
Program Overview
A 3-month research internship combining satellite remote sensing with deep learning. Participants work through the full Earth Observation pipeline and conduct original research in AI-based geospatial analysis, culminating in a research paper.
Research Internship Structure
Phase 1
Theory
Build advanced conceptual understanding of the selected technical domain.
Phase 2
Design
Apply engineering principles to develop and evaluate technical designs.
Phase 3
Simulation
Use appropriate engineering/software tools to model, simulate, analyze, and validate the work.
Phase 4
Research
Identify a research problem, conduct literature review, formulate methodology, perform technical analysis, and develop research findings.
Phase 5
Research Paper
Prepare a research manuscript based on the completed work.
Phase 6
Paper Publication
Guidance for research paper preparation and publication submission through an appropriate academic or research publication route.
Note: Guidance for research paper preparation and publication submission is provided. Publication acceptance is not guaranteed and depends on the review process of the target journal or conference.
What You Will Learn
Curriculum
Research Project
Develop an AI-based satellite imagery analysis system and prepare a research paper on the findings.
Who Should Join?
Skills You Will Gain
Certification
Certificate of completion and research internship certificate awarded by Aeroin EduTech upon successful project and paper submission.
Research Internship
3-Month Deep Research Program
3 Months
₹25,370
Inclusive of GST
Includes
Secure payment powered by Razorpay. No registration required.
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