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Two postdoc positions in Deep Learning for Remote Sensing Data

KU - SCIENCE - DATALOGISK INSTITUT - UP1

København, Storkøbenhavn

Indrykket
30-06-2020
Kontakt
KU - SCIENCE - DATALOGISK INSTITUT - UP1
Universitetsparken 1
2100
København Ø
Tlf
35332328
Praktisk information
Oprettet
30-06-2020
Udløber
01-07-2020
Kviknummer
330275778
Jobtype
Fuldtid
Arbejdsområde
Forskning og undervisning
Stillingsbetegnelse
Post. Doc.
Erfaringer - I højere grad
Ikke angivet (Forskning og udvikling)
Sprog
Dansk Læse/ tale

We are looking for two postdocs in the field of deep learning applied to remote sensing data at the Department of Computer Science (DIKU) and/or the Department of Geosciences and Natural Resource Management (IGN) at the University of Copenhagen. They will have the opportunity to join our team working on remote sensing and machine learning for monitoring, predicting, and simulating changes in ecosystems at large scale. The goal is to improve our knowledge on ecosystem changes to support assessment of land degradation, mitigation of poverty, and climate change management. This requires basic research in machine learning for large-scale spatio-temporal data.

The postdocs’ duties will include research within deep learning and the analysis of remote sensing data as well as teaching. The post may also include performance of other duties.

Successful candidates must have demostarted their ability to publish in top tier venues in machine learning and/or remote sensing.

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

The positions will be for 3 years and is open from 1 September 2020, 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.

Terms of employment
The positions are 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.

The starting salary is currently up to DKK 437.843 including annual supplement (+ pension up to DKK 74.871). 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
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers
The deadline for applications is 1 Juli 2020, 23:59 GMT +2.

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 http://employment.ku.dk/faculty/recruitment-process/.

Interviews will be held on 1 August 2020.

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KU - SCIENCE - DATALOGISK INSTITUT - UP1
Universitetsparken 1
2100
København Ø
Tlf
35332328
Praktisk information
Oprettet
30-06-2020
Udløber
01-07-2020
Kviknummer
330275778
Jobtype
Fuldtid
Arbejdsområde
Forskning og undervisning
Stillingsbetegnelse
Post. Doc.
Erfaringer - I højere grad
Ikke angivet (Forskning og udvikling)
Sprog
Dansk Læse/ tale
Beliggenhed