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

1 week ago


København, Denmark Københavns Universitet (KU) Full time

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 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).

Responsibilities:

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.

Qualifications:

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 remote sensing and ecology. Experience in working with different remote sensing modalities is required. Knowledge in differentiable programming is a plus.

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: research, teaching, societal impact, organisational contribution, external funding and leadership. Furthermore, each candidate must be assessed according to the specific requirements stated in the job advertisement.

Please read more at this link .

Application Instructions:

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:
    • 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.

Info:
Application deadline: 01-09-2024
Start date: 01-11-2024
Working hours: Full-time
Department/Location: Department of Computer Science

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