Assistant Professor of Computer Vision and Machine Learning for Earth Observation Data

Department of Computer Science
Faculty of Science
University of Copenhagen

The Department of Computer Science (DIKU) at the University of Copenhagen invites applicants for a temporary assistant professorship in Computer Vision and Machine Learning for Earth Observation Data. The position is part of the Global Wetland Center (GWC), funded by the Novo Nordisk Foundation. The project ends 1 December 2029.

The assistant professorship is for is for four years starting 1 November 2024 or as soon as possible thereafter. There is possibility for extension.

The GWC contributes to the development of wetland-based climate change mitigation strategies through a combination of biogeochemical and hydrological modelling, satellite remote sensing and use of artificial intelligence techniques. The center is a collaboration between two departments from the University of Copenhagen (Department of Geosciences and Natural Resource Management and Department of Computer Sciences), DHI A/S, and GEUS (The Geological Survey of Denmark and Greenland).

The assistant professor’s duties will primarily include research within the GWC, including obligations with regard to publication/scientific communication, student supervision and research-based teaching with associated examination obligations. To a limited extent this may also include performance of other duties.

Applicants must hold a PhD degree in computer science, applied mathematics, geomatics, or related disciplines.  The position requires genuine interest in interdisciplinary research and a strong background in computer vision and machine learning as demonstrated by publications in top-tier computer science publication venues (NeurIPS, CVPR, ICML, ICCV, ECCV, etc.).

In addition, applicants should have experience in geoscience, geography, environmental sciences, ecology, or related disciplines as demonstrated by publications in top-tier journals in remotes sensing and ecology.  Experience in working with different remote sensing modalities is required. Knowledge in differentiable programming is a plus.

Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Christian Igel (igel@di.ku.dk).

The position is open from 1 November 2024 or as soon as possible thereafter.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Assessment of applicants will primarily consider their level of documented, internationally competitive research. The ability to attract external funding will be considered together with outreach qualifications. Teaching qualifications are not mandatory but documented teaching qualifications and teaching experience will be considered.

Six overall criteria apply for assistant professor appointments at the University of Copenhagen. The six criteria (research, teaching, societal impact, organisational contribution, external funding and leadership) are considered a framework for the overall assessment of candidates. Furthermore, each candidate must be assessed according to the specific requirements stated in the job advertisement.

Please read more at https://jobportal.ku.dk/videnskabelige-stillinger/kriterier-for-videnskabelige-stillinger/dokumenter-til-meritering/5a_Criteria_for_recognising_merit_-Assistant_professors.pdf

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

• Curriculum vitae
• Diplomas (Master and PhD degree or equivalent)
• Research plan – description of current and future research plans
• If available, description and documentation of teaching and supervision experience and qualifications- please describe and document:
  • Experience with supervision of BSc and MSc students
  • Teaching experience
  • Formal pedagogical training
• Complete publication list
• Separate reprints of 5 particularly relevant papers

The deadline for applications is 1 September 2024, 23:59 CEST

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.