PhD Candidate in Physics-informed Learning-based Control

Arbeidsplassen; Trondheim; On-site; NOK 551,000; Full time

Job summary

A leading Norwegian university in Trondheim is offering a funded PhD position in the field of Physics-informed Learning-based Control. The successful candidate will engage in interdisciplinary research, collaborate with experts, and contribute to innovative methodologies that integrate physics with machine learning. This role offers a vibrant research environment and opportunities for international collaboration.

Benefits

Career guidance during PhD period

Favorable benefits as a member of the Norwegian Public Service Pension Fund

Qualifications

• Completion of a master’s degree with a grade of B or better.
• Ability to document suitability for education leading to a PhD degree.
• Experience in machine learning and programming.

Responsibilities

• Perform research in the domain of Physics-informed Learning-based Control.
• Publish results in top-tier journals and conferences.
• Collaborate with PhD candidates and researchers.

Skills

Machine learning

Python programming

MATLAB programming

Very good English skills (written and oral)

Education

Master’s degree in systems and control engineering

Job description

PhD Candidate in Physics-informed Learning-based Control

NTNU, 7491 Trondheim

About the position

We are offering a fully funded PhD position in the field of Physics-informed Learning-based Control. This interdisciplinary research area bridges control theory, machine learning, and physics-based modeling to develop intelligent systems that are both data-efficient and physically consistent. The successful candidate will contribute to advancing novel methodologies that integrate domain knowledge with learning algorithms to tackle complex dynamical systems.

The PhD offers the opportunity to work in a vibrant research environment at the Department of Engineering Cybernetics and NORCE, alongside experts in control systems, machine learning, and applied physics, and to contribute to foundational research at the intersection of automatic control and physics-informed machine learning.

The position is associated with the center for research-based innovation DigiWells: Digital Well Center for Value Creation, Competitiveness and Minimum Environmental Footprint. The center provides a collaborative environment consisting of researchers at NORCE, industry partners, professors from University of Stavanger, NTNU, University of Bergen and a total of 17 PhD students and postdocs.

The successful candidate will be expected to fit in and contribute to this multidisciplinary environment. There will also be opportunities to collaborate and visit the center’s international partners: Stanford University, TU Clausthal, University of the Basque Country, and UT Austin.

The position reports to Professor Ole Morten Aamo as the main scientific supervisor of the research.

Duties of the position

• Perform research in the domain of the position described above and complete the doctoral education.
• Collaborate with PhD Candidates and other researchers in DigiWells.
• Publish research results in top-tier journals and at international conferences.
• Co-supervise MSc theses.
• Be prepared for changes to your work duties after employment.

Required selection criteria

The main qualification requirement is completion of a master’s degree or second degree (equivalent to 120 credits) in systems and control engineering (or equivalent) with a grade of B or better on NTNU’s grading scale. Applicants with no letter grades from previous studies must have an equally good academic foundation. Applicants who are unable to meet these criteria may be considered only if they can document that they are particularly suitable candidates for education leading to a PhD degree.

• Academic background as listed above
• Training in machine learning
• Very good English skills (written and oral)
• Very good computer programming skills in Python and/or MATLAB

Required qualifications (documentation required)

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) in engineering cybernetics at NTNU.

Preferred selection criteria

• Knowledge and skills in estimation theory (state observers, parameter identification), adaptive control, model predictive control, modelling and simulation, machine learning.
• Practical experience with the above.

Personal characteristics

The candidate is expected to:

• Be scientifically curious and open to new research challenges
• Demonstrate independence and persistence in addressing technical problems
• Be flexible and reliable, with the ability to work effectively independently and as part of a team

Emphasis will be placed on personal and interpersonal qualities.

We offer

• Exciting and stimulating tasks in a strong international academic environment
• Career guidance and follow-up during the PhD period
• Open and inclusive working environment with dedicated colleagues
• Favorable benefits as a member of the Norwegian Public Service Pension Fund (SPK)

You will be employed as a PhD Candidate at NTNU and will have access to employee benefits and discounts.

Diversity

Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the population’s collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.

At NTNU we want to increase the proportion of women in scientific positions. We have measures to promote equality.

Salary and conditions

In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800 per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.

The employment period is 3 years. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before the end of the employment period, the employment period can be extended by 10 weeks.

For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Engineering Cybernetics within three months of your employment contract start date, and that you participate in an organized doctoral program throughout the period of employment.

The position is conditional on external funding.

As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.

For the necessary academic and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

About the application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian or English.

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.

The application must include:

• Transcripts and diplomas for BSc and MSc degrees
• CV
• Copy of MSc thesis. If you have recently submitted your MSc thesis, you can attach a draft of the thesis. You can still apply if you haven’t yet submitted your MSc thesis, but documentation of a completed MSc degree must be presented before taking up the position
• Short letter of motivation (400 words/1 page)
• Possibly publications etc. other relevant research work (at most two, must be relevant for the position)
• Documentation of machine learning training
• Documentation of language skills
• Documentation of computer programming skills
• Names and contact information of minimum two relevant referees

If all or parts of your education have been taken abroad, attach documentation of the scope and quality of your entire education, both Bachelor's and Master's. If your institution uses a diploma supplement, attach this. If you have a statement from the Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.

Joint work will be considered. If it is difficult to identify your contribution to joint work, attach a brief description of your participation.

When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing candidates.

NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and COARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU’s social mission).

The appointment is carried out in accordance with the principles of the State Employees Act and Export control. Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.

Please note that the person hired will work with critical infrastructure and areas affected by controls on the export of strategic goods, services and technology. Candidates who do not meet the requirements for the necessary security clearance, access clearance and authorization as described in relevant acts cannot be considered.

General information

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.

If you think this position looks interesting and in line with your qualifications, you are welcome to apply.

If you have any questions about the position, please contact Professor Ole Morten Aamo, email: [e-mail]. If you have any questions about the recruitment process, please contact HR Consultant Berit Dahl, e-mail: [e-mail].

Application deadline: 26.10.2025.

For practical information about working at NTNU, please visit this webpage.

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is among the best in the world. Professional subsidized day-care for children is easily available. Trondheim offers education opportunities (including international schools) and opportunities to enjoy nature, culture and family life with low crime rates and clean air quality.

Om bedriften

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Engineering Cybernetics (ITK)