PhD Project in Image analysis of hyperspectral UAV remote sensing

at  KU SCIENCE IGN

The Department of Geosciences and Natural Resource Management invites applicants for a PhD fellowship in the use of multi- and hyperspectral UAV data for studying biogenic volatile organic compound (BVOC) emissions from Arctic tundra. The project is part of the research project “AVOCA”, funded by the Villum Foundation.
Start date is (expected to be) 1 January 2025 or as soon as possible thereafter.

WHO ARE WE LOOKING FOR?

We are looking for candidates within the field(s) of computer vision, computer science, or geosciences. Applicants should have MSc degree and a record with interest in image analysis and/or remote sensing. Candidates should have skills and experience in programming and image data analysis, and good communication skills in spoken and written English.

QUALIFICATIONS NEEDED FOR THE REGULAR PROGRAMME

To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database .

WE ARE LOOKING FOR THE FOLLOWING QUALIFICATIONS:

• Professional qualifications relevant to the PhD project
• Relevant publications
• Relevant work experience
• Other relevant professional activities
• Curious mind-set with a strong interest in Image analysis
• Good language skills

• 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