Postdoctoral Researcher in Earth Observation, University of Copenhagen, Denmark

The University of Copenhagen has four campus areas. As distances in Copenhagen are relatively small, it is easy to get from one campus to the other either by bicycle or public transportation. The campus areas are integrated into the city of Copenhagen and students use the facilities available in the city, adding a lively buzz to the streets and cafés of Copenhagen.

Postdoctoral Researcher in Earth Observation: The University of Copenhagen is seeking a highly motivated postdoctoral researcher to join our research team at the Department of Geosciences and Natural Resource Management. The successful candidate will focus on developing innovative machine learning solutions for analyzing Earth Observation (EO) data. This position is funded by a Villum Foundation grant for the Earth-INN project under the supervision of Assistant Professor Ankit Kariryaa.

Designation:
Postdoctoral Researcher

Research Area:
Foundation Models, Machine Learning, Earth Observation Data, Self-Supervised Learning

Location:
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark

Eligibility/Qualification:

  • Required:
  • PhD degree in Computer Science, Statistics, Mathematics, GIS, or a related field.
  • Experience with self-supervised learning or stable diffusion techniques.
  • Strong programming skills in Python.
  • High level of motivation and ability to conduct independent research.
  • Proven skills in writing high-quality research papers and delivering effective presentations.
  • Optional:
  • Experience with Earth Observation data and GIS tools.
  • Familiarity with computationally efficient deep learning methods.

Job Description:
The postdoctoral researcher will:

  • Conduct cutting-edge research on foundation models for Earth Observation data.
  • Explore topics such as stable diffusion and invertible neural networks for satellite image translation.
  • Develop and implement self-supervised learning methods for multi-source, multi-scale EO data.
  • Create computationally efficient algorithms for handling large-scale Earth Observation data.
  • Publish findings in leading research venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, Science, and Nature Communications.
  • Collaborate with other researchers and participate in various related duties as needed.

How to Apply:
Applicants must submit the following documents electronically:

  • Curriculum Vitae (CV)
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan detailing current and future research interests
  • Complete publication list
  • Separate reprints of three particularly relevant papers

To apply, please click the “APPLY NOW” button on the official job portal.

Last Date to Apply:
December 11, 2024, by 23:59 GMT +1

For inquiries regarding the position, please contact Ankit Kariryaa at ankit@ign.ku.dk. For more information about the Department, visit ign.ku.dk/english/.

Join us at the University of Copenhagen, where we strive to reflect the diversity of society and encourage applications from all qualified candidates.

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