PhD Research Fellow in Systems Engineering - Complex integrated systems

University of South-Eastern Norway

Kongsberg

On-site

NOK 496,000 - 606,000

Full time

2 days ago
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Job summary

University of South-Eastern Norway (USN) seeks a PhD Research Fellow in Systems Engineering to develop AI-supported design methods and tools for early validation of complex, data-intensive systems. The position is hosted at campus Kongsberg, with time split between USN and CELECT partner companies, and starts by May 2027 at the latest August 2027.

You will join SFI CELECT and INRESCOS, collaborating with leading industry partners while pursuing a doctoral degree in Technology (Systems

Qualifications

  • Master's degree (120 ECTS) within Systems Engineering or related field
  • Strong interest in AI/ML and data-driven engineering
  • Excellent written and oral English language skills
  • Meet admission requirements for USN doctoral programmes within three months after starting

Responsibilities

  • Complete the doctoral programme within employment period
  • Conduct high-calibre research within CELECT framework
  • Publish in high-quality journals and conferences
  • Collaborate with CELECT partners and industry
  • Participate in INRESCOS and CELECT activities
  • Work with NISE group and partners

Skills

English proficiency
Interdisciplinary collaboration
Research skills

Education

Master's degree in Systems Engineering

Job description

PhD Research Fellow in Systems Engineering - Complex integrated systems

University of South-Eastern Norway

Stillingstittel PhD Research Fellow in Systems Engineering – AI tools for early validation and development of compl

PhD Research Fellow in Systems Engineering – AI tools for early validation and development of complex integrated systems
Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in the future?

Some of tomorrow's most innovative systems are shaped by weather, ocean currents and thousands of design choices. How do you know that the design will work before it is built? Help engineers find out with the use of AI. We are looking for a PhD research fellow in Systems Engineering.

About the position

Do you want to help engineers design data-intensive systems where huge amounts of data and a vast design space make early decisions hard? Join us as a PhD research fellow at the Department of Science and Industry Systems, campus Kongsberg. Start: May 2027 (at the latest August 2027).

You will be part of SFI CELECT – the Centre for Effective Engineering and Learning in Complex Systems – whose vision is to do more with less, and faster. The centre, funded by the Research Council of Norway, brings together Norway's leading industrial companies and 30 PhD candidates across USN, NTNU and the University of Agder. You will also join the Industrial Research School in Complex Systems (INRESCOS).

Campus Kongsberg sits at the heart of one of Norway's strongest technology clusters, with world‑leading companies in maritime, defence, aerospace, energy and subsea technology. Research and industry work side by side – giving you a unique network and strong career opportunities in industry or academia.

The position is a three‑year educational position with pure organised research training. A four‑year appointment with 25% career‑advancing may be considered.

You must apply for and be admitted to the doctoral programme in Technology (Systems Engineering) within three months of starting. The programme includes courses of about six months (30 ECTS), an independent thesis, research dissemination, a trial lecture and a public defence.

Your main supervisor will be Professor Kristin Falk. Your workplace will be shared between campus Kongsberg and one or several CELECT partner companies: depending on the project, you will spend between 3 and 30 months located at a company's premises. You are expected to be present at campus or at the company during ordinary working hours.

About the doctoral project

The aim of this PhD is to develop AI‑supported design methods and tools that enable early validation of complex, data‑intensive integrated systems.

Data‑intensive systems have huge design spaces, and their behaviour emerges from many interacting factors. Design and operation become intertwined – and today's methods catch problems too late.

In this PhD you will develop AI‑supported design assistance: methods and tools, backed by digital twins, that help engineers explore large design spaces and validate systems early. Questions you could explore:

  • How are data‑intensive systems designed and validated in industry today?
  • How can AI and digital twins support early design decisions?

You will help shape the final research questions together with your supervisors and industry partners.

The PhD project is part of SFI CELECT , headed by Professor Kristin Falk. Industrial cases will be selected among CELECT partners such as Kongsberg Maritime, Kongsberg Defence & Aerospace, Siemens Energy, H. Henriksen, Umoe Mandal andcDynamics. Using industry as your laboratory, you will work alongside engineers and systems architects on real development projects.

This position is one of several related CELECT PhD positions at USN: it focuses on early design and validation, and complements positions on life‑cycle management of long‑living systems (PhD1.4), early systems integration in systems‑of‑systems (PhD1.5) and competence development for industry (PhD5.1).

You will be part of the Norwegian Industrial Systems Engineering Research Group ( NISE ).

Duties
  • Complete the doctoral programme up to completion of the doctoral degree within the employment period
  • Conduct high‑calibre research within the framework described above
  • Academic publications in high‑quality journals and conferences
  • Actively work with companies in an industry‑as‑laboratory environment, combining qualitative and quantitative research
  • Report progress and deliver outputs to the CELECT centre
  • Participate in the Norwegian Industrial Systems Engineering Research Group ( NISE )
  • Active involvement in SFI CELECT's doctoral team across NTNU, USN and UiA, including the research school INRESCOS, and participation in common workshops, learning events and courses
  • Participate in international activities such as conferences and/or research stays at foreign research and educational institutions
  • Be prepared for changes in your work tasks after appointment
Qualifications

All items are requirements,unless it is specified that they are preferred qualifications.

  • Master's degree (120 ECTS credits) (or equivalent qualifications) within Systems Engineering, Systems Architecture, mechanical, electrical, marine or software engineering, cybernetics, mechatronics, computer science or a similar relevant engineering discipline
  • Documented knowledge of relevant methodologies, both quantitative and/or qualitative, at master's level
  • Weighted average grade of B or higher on the master's degree and thesis
  • The master’s thesis must have been submitted for assessment by the application deadline for the position and approved before starting in the position
  • Understanding of and interest in AI/ML and data‑driven engineering is preferred
  • Knowledge of systems architecting, model‑based systems engineering, simulation or digital twins is preferred
  • Industrial experience from development of complex or integrated systems (for example maritime, aerospace, manufacture) is preferred
  • Proficiency in a Scandinavian language, or Norwegian at level B2, is preferred
  • Excellent written and oral English language skills
  • Meet the formal requirements for admission to USN's doctoral programmes and the Faculty of Technology, Natural Sciences and Maritime Sciences' doctoral programme in Technology , with the topic of Systems Engineering, no later than three months after starting in the position
Personal qualities

In order to be able to complete a doctoral degree, you need to be able to:

  • demonstrate motivation and potential for research in the field
  • work independently, but also participate in teamwork
  • work in a structured way, set goals, and make plans to achieve them
  • present and discuss your research with other academics
  • get involved and contribute constructively with feedback
  • work constructively under pressure or in the face of adversity
  • show curiosity and strong motivation for the subject area
  • analyse data, assess different perspectives, and draw well‑founded conclusions
  • work collaboratively in an industrial setting with the CELECT partners
  • be flexible and open to adjusting the project plan as necessary
  • have the academic skills and personal qualities to be able to complete the doctoral programme within the employment period
When assessing applications, particular importance will be attached to:
  • Formal qualifications
  • The personal qualities mentioned above
  • Motivation letter
  • Qualifications and experience in systems architecting, systems modelling, digital twins or closely related fields
Requirements for proficiency in English

This position requires good English language skills. International applicants must document this with a valid certificate from one of the following tests. Specific requirements regarding grades can be found on our webpage English requirement for programmes and subjects taught in English at USN .

  • TOEFL – Test of English as a Foreign Language, Internet‑Based Test (IBT)
  • IELTS – International English Language Testing Service
  • Certificate in Advanced English (CAE) or Certificate of Proficiency in English (CPE) from the University of Cambridge
  • PTE Academic – Pearson Test of English Academic

The following applicants are exempt from the requirements listed above:

  • Applicants with one year of completed university studies in Australia, Canada, Ireland, New Zealand, UK or USA
  • Applicants who have completed a master’s degree with English as the language of instruction in an EU or EEA country
  • Applicants who are exempt based on the Norwegian Directorate for Higher Education and Skills (HK-dir)’s GSU list (Higher Education Entrance Qualification for foreign applicants)

Applicants from Norway can confirm their English language skills by submitting their upper secondary school diploma.

Requirements for proficiency in Norwegian

The position has no formal requirement for proficiency in Norwegian. Proficiency in a Scandinavian language, or Norwegian at level B2 ( language levels as defined by HK-dir ), is preferred.

Applicants who wish this to be taken into account must document their language skills in the application (see How to apply).

Requirements regarding a licence and/or security clearance

The applicant must meet the requirements for authorization for restricted. You can read more about security clearance on the websites of the National Security Authority and the Civil Clearance Authority . For the position, an export licence is also required, and the applicant must meet the requirements for this. You can read more about export licences on DEKSA's website .

Motivation letter

Applicants must submit a motivation letter with the application. This should be short and concise, maximum 500 words.

The final project description and work plan will be prepared in consultation with the supervisor(s) during the first three months of the employment period. It is a prerequisite that you complete the project during the employment period.

What we offer
  • Organised research training in a large undertaking with an important social mission
  • Careers advice and guidance throughout the entire doctoral programme. Together we will draw up a career plan that includes the skills and knowledge you will acquire
  • An inclusive working environment with ambitious colleagues
  • The opportunity to take Norwegian language courses
  • Salary in accordance with the Norwegian State salary scale for PhD research fellows (position code 1017) NOK 550,800. In special cases, code 1378 may be used. Any further increases in pay grade will be based on length of service in the position
  • Deductions will be made from your salary in order to make statutory contributions to the Norwegian Public Service Pension Fund on your behalf
  • Membership in the Norwegian Public Service Pension Fund , ensuring favourable pension, insurance and loan schemes
Diversity

We believe that diversity is a resource in our work and learning environment. Different experiences and backgrounds contribute to different perspectives and better solutions to challenges that need to be solved.

We are committed to respecting each other's differences and will facilitate employees with disabilities. We take into account your needs and your situation in different phases of life.

If you find this position interesting, we encourage you to apply, regardless of gender, disability, cultural background or whether you have been out of work for a period of time.

If there are qualified applicants with disabilities, gaps in their CV or an immigrant background, we will call at least one applicant in each of these groups for an interview. If you recognize yourself in one of these categories, you can tick the box in our job search portal.

The university aims to recruit more women to PhD positions within the field. If multiple applicants are considered to have equivalent qualifications, a woman will be given priority over a man.

General information

The Appointment Committee for Fellowship Positions (TUS) is the appointing authority for this position. Your competence for the position will be assessed by an expert committee. The expert committee will assess your competence for the position based on the documentation you have registered in Jobbnorge.

Based on the expert committee’s assessment, relevant applicants will be invited to an interview and to hold a trial lecture. References will also be obtained for relevant candidates.

Employment at USN is carried out in accordance with the principles set out in the Norwegian Civil Service Act , and the legislation that regulates the export of knowledge, technology and services. If your application is considered to be in conflict with the criteria in the latter legislation, it will be rejected without further consideration.

The University's Guidelines for Recruitment Positions provide a more detailed description of the criteria for appointment as a PhD research fellow.

As an employee of USN, you must at all times adapt to changes in the field and all organisational changes that are adopted.

Contact information

Head of Department Professor Aida Omerovic,

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