Fellowship Position Within Dronesensors for Monitoring of Solar Cells University of Oslo, Institute of Technology Systems

The University of Oslo is Norway's oldest and highest ranked research and education institution with 28,000 students and 7,000 employees. Professional breadth and internationally recognized research environments make UiO an important social player. 

 

The Department of Technology Systems (ITS) is a newly established department at the Faculty of Mathematics and Natural Sciences at the University of Oslo. ITS has taken over the business at UNIK since January 2017. The institute is located in Kjeller, the Research Park, which is one of Norway's largest research and development environments. ITS collaborates with Kjellermiljøet and the business community, while it is closely integrated with complementary activities at UiO at Blindern. The institute has two subject sections: Section for Energy Systems and Section for Autonomous Systems and Sensor Technologies. An important goal of ITS is to provide a wider offer at UiO within applied technology.

 

Fellowship position within dronesensors for monitoring of solar cells

 

Position as a fellow within dronesensors for monitoring solar systems available at the Institute of Technology Systems.

 

No one can be added for more than one fellowship period at the University of Oslo.

 

The scholarship is for four years, with 25% duty work geared towards innovation in connection with the assignment.

 

Description of the position

 

The task is part of an innovation project in the field of "Autonomous monitoring, control and protection of renewable energy infrastructure", which comprises four doctoral projects. The innovation project will be carried out at the Department of Technology Systems (ITS) at Kjeller, in cooperation with the Defense Research Institute (FFI), the Department of Energy Technology (IFE) and in collaboration with relevant groups at the Department of Informatics (IFI) and the Department of Physics (FI) at UiO Blindern.

 

A central theme for this task will be the development and testing of droner imaging systems. The goal is to collect good data for diagnostics of defects in solar panels. Current imaging techniques include thermal imaging, multispectral imaging and low beam imaging. One aim would be that the drones system autonomously customizes the flight pattern by processing the data retrieved, for example, to capture close-ups as needed. The work will take place in close collaboration with FFI's large and active academic environments within sensors, imaging and autonomous systems.

 

It is planned to make a demonstrator in collaboration with the other PhD projects in the project, as part of the innovation work.

 

Qualifications

 

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be an internationally leading research faculty. Candidates will be selected in line with this ambition and are expected to be in the upper level with regard to academic qualifications.

 

Applicants must have a master's degree in physics, electronics, cybernetics or equivalent.

 

It is important to master programming well, preferably in languages like C ++, Matlab or Python, and also have an interest in experimental work.

 

Good manufacturing ability written and oral in Norwegian (or another Scandinavian language).

 

Good cooperation skills and English skills will also be emphasized.

 

Since the project will work closely with FFI, and may include technologies regulated by the Foreign Ministry's export control regulations, the candidate must be able to be safe.

 

This is an educational position where the aim is to complete a research education up to the doctorate. Admission to the faculty's doctoral program is a prerequisite for appointment as a fellow student. An application for admission to the PhD program must be delivered to the department within two months after the start date. For more information, see the stipulation of the terms of employment in the fellowship:

 

http://www.lovdata.no/for/sf/kd/xd-20060131-0102.html#1-3

http://www.mn.uio.no/forskning/doktorgrad-karriere/forskerutdanning/

General requirements for English proficiency for applicants from non-EU / EEA countries:

http://www.mn.uio.no/english/research/phd/application/application.html

 

Payment:

Position code 1017, Salary: NOK 436 900 - 490 900 per. year, depending on competence / seniority.

 

The application must contain:

  • Letters
  • CV (full overview of education, practice and academic work - publications)
  • Copies of diplomas, grades, certificates and any professional work that they will be taken into account in the assessment
  • Name and contact information of 2-3 references (name, attachment to applicant, e-mail address and phone number)

 

Applications with attachments must be submitted via our electronic recruitment system, please click "Search Position". For education outside Scandinavia, we ask for an explanation of the character system. We note that all documentation must be in English or a Scandinavian language.

 

UiO has a takeover agreement for all employees, with the aim of ensuring the rights of research results, etc.

 

UiO has a staff policy goal to achieve a balanced gender mix and recruit people with immigrant backgrounds.

 

According to section 25, second paragraph of the Publicity Act, information about the applicant may be published even if the applicant has requested not to be listed on the applicant list.

 

For further information contact:

 

Dr. Stian Løvold, stian.lovold@its.uio.no tel .: 941 90 920, Professor-II Torbjørn Skauli, torbjorn.skauli@ffi.no , tel: +47 9229 9254 or Professor-II Erik Marstein, erik .stensrud.marstein @ ife.no , tel .: +47 9011 7762.

 

For questions concerning the recruitment system, Job Norway, please contact: Nina Holtan, Human Resources Consultant , nina.holtan@mn.uio.no , tel: +47 22 85 44 24.


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