PhD fellowship in Remote Sensing and Deep Learning at KU SCIENCE IGN
1350 København, Region Hovedstaden, Denmark -
Full Time


Start Date

Immediate

Expiry Date

31 Mar, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Education Management

Description

The Department of Geosciences and Natural Resource Management invites applicants for a PhD fellowship in Earth Observation using state-of-the-art satellite remote sensing systems. The PhD position is part of Center for Remote sensing and Deep Learning of Global Tree Resources funded by the Danish National Research Foundation, which focuses on the critical role of trees in terrestrial ecosystems, such as climate regulation, biodiversity support, and local livelihoods.

WHO ARE WE LOOKING FOR?

We are seeking a highly motivated scholar with good interpersonal and communication skills. Fluency in spoken and written English is a requirement. As criteria for the assessment, emphasis will also be laid on Python programming skills and relevant experience in remote sensing and deep learning. Experience with handling and processing large image datasets and scientific publications are an advantage. Prior experience with remote sensing of tree resources is considered an advantage but is not formal a requirement.

Responsibilities
  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact journals
  • Write and defend a PhD thesis on the basis of your projec
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