Call for Prospective MSCA Postdoctoral Fellows in AI-Based Earth Observation Applications

PhDFinder; Town of Exeter (WI); On-site; USD 60,000 - 80,000; Full time

Job summary

A leading university in the UK is inviting applications for the Marie Skłodowska-Curie Postdoctoral Fellowship focused on AI-based Earth observation applications. Candidates will engage in groundbreaking research on forest monitoring and various applications of remote sensing. Strong mentorship and access to specialized tools will be provided to support research activities.

Qualifications

• PhD holder by the submission deadline.
• Less than 8 years of postdoctoral research experience.
• Demonstrated interest or experience in AI and remote sensing.

Responsibilities

• Conduct research on AI-based applications using Earth observation data.
• Focus on forest monitoring and land change detection.
• Utilize in-house tools for scalable EO time-series generation.

Skills

AI

Remote Sensing

Machine Learning

Time-series Analysis

Data Science

Education

PhD

Job description

Call for Prospective MSCA Postdoctoral Fellows in AI-Based Earth Observation Applications

Call for Prospective MSCA Postdoctoral Fellows in AI-Based Earth Observation Applications

3 days ago Be among the first 25 applicants

University: University of Exeter

Country: United Kingdom

Deadline: 2024-09-11

Fields: Computer Science, Environmental Science, Remote Sensing, Geography, Data Science

The University of Exeter invites applications from qualified postdoctoral researchers for the Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA PF) in the area of AI-based applications utilizing Earth Observation data. The research group, led by Dr. Miltiadou in the Department of Computer Science, focuses on the intersection of remote sensing, time-series analysis, and machine learning, with applications in forest monitoring, land cover change, and multi-source Earth Observation data integration.

Requirements

– Hold a PhD by the submission deadline.

– Have less than 8 years of postdoctoral research experience.

– Must not have resided or carried out their main activity in the United Kingdom for more than 12 months in the three years prior to the deadline.

– Demonstrated interest or experience in AI, remote sensing, or related fields.

Research Topics Include, But Are Not Limited To

– Identification of forest fire drivers

– Classification of forest types and tree species using satellite data

– Ray-tracing methods for estimating forest canopy gaps

– Correlation of carbon/vegetation models with EO time-series

– UAV flight planning for forestry applications

– Land change detection for UNESCO site protection

The group offers access to in-house tools such as PlotToSat for scalable EO time-series generation and DASOS for LiDAR data harmonisation, as well as strong mentorship for the MSCA PF application process.

Interested candidates are invited to send their CV and arrange a meeting to discuss potential project ideas for the application.

Contact/Application Information

Dr. Miltiadou

Email: [e-mail]

Further information: https://lnkd.in/d2muVMeG

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