Postdoctoral researcher in Active Learning for Arctic observing systems (ref 289326)

Updated: 3 months ago
Job Type: FullTime
Deadline: 05 Dec 2025

8 Nov 2025
Job Information
Organisation/Company

University of Oslo
Research Field

Geosciences
Researcher Profile

Recognised Researcher (R2)
Positions

Postdoc Positions
Country

Norway
Application Deadline

5 Dec 2025 - 23:00 (Europe/Oslo)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

37.5
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We invite applications for a postdoctoral position focused on developing actively learning observing systems for carbon, water, and energy exchange in Arctic environments. The position centers on creating frameworks that allow environmental observing systems to adapt and learn from data - identifying which measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful.

You will integrate field observations - including ground - and drone - based measurements - along with satellite data, into land - surface and boundary - layer models, drawing on the department’s unique infrastructure of eddy flux towers, drone platforms, and data assimilation frameworks. Field campaigns are planned in mainland Norway, Svalbard, and international Arctic sites. Funding is also available for conference attendances and research visits with external collaborators.

The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”:
https://www.mn.uio.no/geo/english/research/projects/activate/index.html

The researcher will be part of a growing team of researchers, postdocs and PhD students working on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289326/postdoctoral-researcher-in-active-learning-for-arctic-observing-systems


Where to apply
Website
https://www.jobbnorge.no/en/available-jobs/job/289326/postdoctoral-researcher-i…

Requirements
Research Field
Geosciences
Education Level
PhD or equivalent

Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Department of Geosciences
Country
Norway
Geofield


Contact
City

Oslo
Website

https://www.mn.uio.no/geo/english/index.html
Street

PO box 1072 Blindern
Postal Code

NO-0316
E-Mail

norbert.pirk@geo.uio.no

STATUS: EXPIRED

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