At a Glance
- Tasks: Develop deep learning models for land cover classification and change detection.
- Company: Cranfield University, a leader in environmental research and innovation.
- Benefits: Opportunity to publish in top journals and present at major conferences.
- Other info: Work remotely with access to high-performance computing resources.
- Why this job: Join an interdisciplinary team and make a real impact on environmental monitoring.
- Qualifications: Experience in AI, deep learning, and remote sensing required.
The predicted salary is between 63000 - 77000 £ per year.
Cranfield University seeks a Postdoctoral Researcher to develop and apply deep learning for land cover classification and change detection using multi-source aerial and satellite imagery.
You will work in the Landscape Observatory at Cranfield, collaborating with an interdisciplinary team, publishing in top journals, and presenting at major conferences.
The role emphasizes HPC/GPU support and scalable AI for environmental monitoring.
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Postdoc: AI Remote Sensing for Landscape Change in Cranfield employer: UK Space Jobs
Lockheed Martin is an exceptional employer, offering a dynamic work environment where employees are valued and supported in their professional growth. With a strong commitment to employee wellbeing, the company provides competitive salaries, flexible working options including a potential 4-day week, and a comprehensive benefits package that includes private medical insurance and educational assistance. Located in the North East, Lockheed Martin is at the forefront of advancing the space sector, providing unique opportunities for collaboration and innovation while contributing to national security.
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We think you need these skills to ace Postdoc: AI Remote Sensing for Landscape Change in Cranfield
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