Ledig stilling ved UiT Norges arktiske universitet

2-3 Postdoctoral Research Fellows (3 years) addressing Machine / Deep Learning, Multi-Sensor Data Fusion, and Scalable Computing in Remote Sensing

Deadline: 08.03.2020

The Faculty of Science and Technology

UiT The Arctic University of Norway with its main campus located in Tromsø is the northernmost university in the world. Its focus on climate and environment is clearly dictated by the geographical location at the edge of the Arctic. The main task of the Faculty of Science and Technology is to conduct research and teaching at high national and international level. Prioritized research areas include energy, climate, environment, maritime, marine, nano-, space-, and information technology; addressing both general topics and topics relevant for the High North.

UiT The Arctic University of Norway

UiT is a multi-campus research university in Norway and the northernmost university of the world. Our central location in the High North, our broad and diverse research and study portfolio, and our interdisciplinary qualities make us uniquely suited to meet the challenges of the future. At UiT you can explore global issues from a close-up perspective.

Credibility, academic freedom, closeness, creativity and commitment shall be hallmarks of the relationship between our employees, between our employees and our students and between UiT and our partners.

The position

The Department of Physics and Technology at UiT The Arctic University of Norway announces 2-3 vacant positions as Postdoctoral Research Fellow in machine/deep learning, multi-sensor processing, and scalable computing in remote sensing for large-scale Arctic applications. The appointments are for a period of three years, with the possibility of up to one year’s extension if teaching duties are undertaken.

The positions are funded by the Centre for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA) and the “Extreme Earth”-project. CIRFA is a Centre for Research-based Innovation, financed by the Research Council of Norway together with the Centre’s research and user partners. “Extreme Earth” was granted by the by Horizon 2020 under the call: H2020-ICT-2018-2020, and involves cooperation with some highly ranked European research groups in remote sensing, computer science and machine learning. The positions are all affiliated to the Department of Physics and Technology, Faculty of Science and Technology, UiT The Arctic University of Norway.

The Department of Physics and Technology consists of six research groups: (1) Complex Systems Modelling, (2) Earth Observation, (3) Sustainable Energy, (4) Machine Learning, (5) Space Physics, and (6) Ultrasound, Microwaves and Optics. The department provides education at the Bachelor, Master, and PhD levels, and comprises 21 permanent scientific employees, and a technical/administrative staff of 12 persons.

The successful candidates will work at CIRFA.

Appointment to the positon of Postdoctoral Research Fellow is mainly intended to provide qualification for work in top academic positions. It is a prerequisite that the applicant be able to carry out the project over the full course of the employment period. No person may hold more than one fixed-term position as a Postdoctoral Research Fellow at the same institution.

The position can/will additionally be assigned to teaching and related work for UiT in an amount equivalent to a maximum 25 % of a full-time employment.

CIRFA and The Extreme Earth project

CIRFA does research on integrated remote sensing for Arctic operations by developing data analysis methods and technologies for reliably characterizing and monitoring the physical Arctic environment. It has seven multi-disciplinary research partners with expertise in remote sensing, oceanography, meteorology, and polar research, and nine user partners. See http://cirfa.uit.no/ for more information.

The Extreme Earth project does complimentary research to CIRFA by investigating deep learning architectures and algorithms for surface mapping from multi-sensor Copernicus data. Over the Polar regions, the technology will be applied to perform long-term temporal and large-scale spatial characterization of the sea ice cover and its complicated internal dynamics. See http://earthanalytics.eu/ for more information for more information

The project/position's field of research

The positions will be 100% devoted to research connected to the application areas of CIRFA (sea ice, met ocean, oil spill) and the Polar use case of Extreme Earth project (ice charting). The research will address studies of machine learning and deep learning methods for effective processing of large-scale, multi-modal remote sensing data, in which synthetic aperture radar (SAR) data will be a main data source, and high-performance, scalable distributed computing related to the above described application areas. The work will be synchronized with ongoing research in CIRFA and Extreme Earth.

The candidates may participate in research on one or several of the below listed topics:

  • Deep learning architectures for coping with weak and scarce training data in remote sensing
  • Physics constrained machine/deep learning models in polar remote sensing applications
  • Multi-sensor data analysis for automatic information extraction
  • Multi-resolution feature extraction and analysis of remotely sensed data
  • Machine learning methodologies for spatial upscaling in remote sensing

High-performance, scalable distributed computing for Copernicus Big data processing.


Further information about the positions and project details is available by contacting:


Qualification requirements for the position as Postdoctoral Fellow 1352:

  • Norwegian doctoral degree in subject area concerned or a corresponding foreign doctoral degree recognised as equivalent to a Norwegian doctoral degree, or competence at a corresponding level documented by academic work of the same scope and quality

This postdoc position requires a Norwegian doctoral degree within a field relevant for the research theme of the positions (i.e. physics, machine learning, mathematics, statistics, or computer science), or a corresponding foreign doctoral degree recognised as equivalent to a Norwegian doctoral degree.

For each of the positions, we are looking for a strongly motivated person, who has excellent academic record and potential, with analytical and problem-solving skills. Moreover, the candidate should show a good command of English, both spoken and written.

The suitable candidate should have expertise in:

  • machine learning and/or deep learning
  • computer science and programming
  • image analysis and statistics

The following experiences would also be advantageous:

  • experience with SAR data analysis
  • experience with remote sensing and big data analysis
  • international experience

We are seeking candidates who are independent, flexible, creative, and committed to the job.

If you’re at the final stages of your PhD, you are also qualified to apply. Having a PhD degree is required before commencement in the position. If you are in the process of completing your PhD, you must document that you have submitted your PhD thesis by the application deadline and attach a statement from your supervisor concerning termination of your PhD studies.

During the assessment emphasis will be put on your potential for research, motivation and personal suitability for the position.

At UiT we put emphasis on the quality, relevance and significance of the research work and not on where the work is published, in accordance with the principles of The San Francisco Declaration on Research Assessment (DORA).

UiT wishes to increase the proportion of females in academic positions. In cases where two or more applicants are found to be approximately equally qualified, female applicants will be given priority.

We offer

We offer an interesting project funded by the Research Council of Norway, opportunities to travel and meet other leading scientists within the field, independence in work, a fantastic work environment with nice colleagues, good remuneration, and a cosy hometown of Tromsø surrounded by the stunning landscape of Northern Scandinavia.

UiT also has good welfare arrangements for employees including beneficial arrangements for pension and insurances.

Remuneration of Postdoctoral Fellow positions are in salary code 1352, normally starting on salary grade 59 on the pay scale for Norwegian state employees corresponding to approx. 43500 NOK/month. There is a 2 % deduction for contribution to the Norwegian Public Service Pension Fund. In addition, UiT pays 12 % directly to the pension fund on top of the salary.


Your application must include:

  • Application and motivation letter (max 1 page)
  • CV (max 2 pages)
  • Description of your past research project and its relevance to the advertised position (max 1 page)
  • Description of your academic production (track record) including highlights of three most important works for the advertised position (max 1 page)
  • Diplomas and transcripts
  • Three references, preferably including the PhD supervisor: Project proposal
  • Academic works, up to ten. The doctoral thesis is regarded as one work.

You must submit a project proposal that describe how you scientifically can contribute to (the project/described field of research). The proposal must include a progress plan.

The documentation must be in English or a Scandinavian language. We only accept applications sent via www.jobbnorge.no.

We look forward to receiving your application!

General information

The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants. The successful candidate must be willing to get involved in the ongoing development of their department and the university as a whole.

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. UiT and will emphasize making the necessary adaptations to the working conditions for employees with reduced functional ability

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

More information about moving to Norway and working at UiT: http://uit.no/mobility

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