PhD Research Fellow in Control Theory and Optimization for Edge Computing

Universitetet I Oslo

Kjeller

On-site

NOK 551,000 - 595,000

Full time

2 hours ago
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Benefits offered by this job

Pension scheme
Career development opportunities
Location near Oslo

Job summary

The University of Oslo invites applications for a PhD Research Fellow in Control Theory and Optimization for Edge Computing at the Department of Technology Systems, Campus Kjeller. Start date earliest 01.01.2027 and latest 01.07.2027.

The fellowship period is three years, with a possible fourth year for teaching or research assistance. The candidate will be affiliated with the Section for Autonomous Systems and Sensors at ITS and work on real-time edge computing for control and AI in the

Qualifications

  • Required qualifications: Master’s degree or equivalent in applied mathematics, engineering, computer science, control theory.
  • Required qualifications: English language proficiency (fluent oral and written).
  • Candidates must complete all master requirements by 31.12.2026 if not yet finished.

Skills

Fluent English

Education

Master’s degree in applied mathematics, engineering, computer science or control theory
M.Sc.-level degree with four years Norwegian educational equivalence
Bachelor’s degree with minimum C in Norwegian system
Master’s degree with minimum B in Norwegian system

Job description

PhD Research Fellow in Control Theory and Optimization for Edge Computing

We invite applications for a PhD Research Fellow position in Control Theory and Optimization for Edge Computingavailable at Department of Technology Systems.

Starting date earliest at 01.01.2027 and no later than 01.07.2027.

The fellowship period is three years.

A fourth year may be considered and it will involve 25 % of other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

No one can be appointed for more than one PhD Research Fellowshipperiod at the University of Oslo.

Place of work is Department of Technology Systems at Campus Kjeller.

The place of work is Department of Technology Systems at Campus Kjeller. The position is associate with the newly established Norwegian Maritime AI Centre . Here you will work together with other PhD candidates and researchers, as well as world leading industry partners.

The candidate will be affiliated with the Section for Autonomous Systems and Sensors at ITS. The section engages in control theory and real-time optimization for various applications.

This project focuses on real-time edge computing for control and AI in the maritime domain. Several research and industrial partners are a part of this project. The ideal candidate would combine strong computational skills with domain knowledge in either control theory or optimization, plus demonstrated ability to apply AI/ML methods to physical problems.

Jarli & Jordan/ UiO

Whatskillsareimportantinthisrole?

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

  • Master’s degree or equivalent in applied mathematics, engineering, computer science, control theory. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English

Candidates who have not yet completed their master’s degree must have completed all requirements for the degree by 31.12.2026.

Desired qualifications:

  • Relevant experience in marine technology and AI will be advantageous, or a domain that has transferable knowledge, such as aerospace engineering
  • Knowledge about control theory and optimization
  • Knowledge about machine learning methods such as neural networks, reinforcement learning, etc.

Language requirement:

  • Good oral and written communication skills in English

Grade requirements: The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • Ability to work both independently and as part of a team
  • Ability to work precise in a structured manner and swiftly adapts to new tasks
  • Good communication and collaboration skills
  • Positive attitude and the ability to handle hectic periods

Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.

Colourbox

We can offer you
  • A pleasant and stimulating work environment
  • A workplace with good development and career opportunities
  • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
  • Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund
We need different perspectives in our work

UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no .

We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one?

We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.

If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).

The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here .

General information

The best qualified candidates will be invited for interviews.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25 . When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us.

The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 26 500students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The University of Oslo (UiO) is expanding the activity at Campus Kjeller to strengthen our education, research, and innovation in technology for a sustainable future. UiO is a well-ranked research university where the Department of Technology Systems at Kjeller (ITS) is focused on applied research in sustainable energy, autonomous systems, space, and security. At Kjeller, ITS is co-located with the Norwegian Defense Research Establishment (FFI) and the Institute for Energy Technology (IFE), which both offer rich opportunities for collaboration. ITS also has a range of interdisciplinary research collaborations that include the UiO Blindern Campus and Oslo Science City, as well as many other national and international institutions and industries.

ITS offers several master level programmes, alone and jointly with other departments: Renewable energy systems, Cybernetics and autonomous systems, Robotics and intelligent systems, and Information security. ITS also hosts the Centre for Space Sensors and Systems (CENSSS), which incorporates operation of an instrument on the NASA Perseverance rover on Mars. A new master program in Space systems is in the planning stage. The department currently has 9 permanent scientific staff, approximately 35 adjunct staff from the research institutes at Kjeller and from industry, as well as about 20 PhD candidates. This position is part of an ongoing expansion of the UiO activity at Campus Kjeller. Campus Kjeller is located 20 km northeast of Oslo, between the city center and Oslo Airport. It is a 20 minutes commute with public transportation from Oslo city center to the campus.

Questions about the position

For further information please contact: Mathias Hudoba de Badyn

Associate Professor

Associate Professor

For questions regarding Jobbnorge, please contact Elin Thoresen

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