PhD Fellowship in Energy Systems and Artificial Intelligence

Unist; Stavanger; Hybride; NOK 522 000 - 638 000; Plein temps

Avantages offerts par ce poste

Norwegian language courses

Health services

Public transport subsidy

Pension scheme

Inclusive workplace

Résumé du poste

University of Stavanger invites applications for a PhD fellowship in Energy Systems and Applied AI at the Department of Energy and Petroleum Engineering. The role focuses on fast, accurate AI-driven modeling for real-time optimization of energy systems, with a strong emphasis on shallow geothermal energy and sustainable solutions.

The PhD leads to a doctoral degree with coursework, research, and a public thesis defence, within a three-year pure research training period.

Qualifications

• Five-year master's degree in a relevant field or equivalent qualification.
• Strong knowledge of energy systems and energy technologies.
• Proficiency in English (written and spoken).
• Experience with AI, ML, and data-driven modeling methods.

Responsabilités

• Carry out independent PhD research leading to a doctoral thesis.
• Develop AI-enabled models for energy-system optimization and control.
• Collaborate with national and international research communities and industry partners.

Connaissances

Energy systems

AI/ML

Data modeling

Programming

Analytical skills

Formation

Five-year master's degree in a relevant field

Description du poste

Department of Energy and Petroleum Engineering

Organisation/Company University of Stavanger Department Department of Energy and Petroleum Engineering Research Field Technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Nov 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The University of Stavanger invites applicantsfor a position as PhDFellow in Energy Systems and Artificial Intelligence at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering.

The PhD fellowship leads to a doctoral degree and gives you the opportunity to develop research expertise in an active and stimulating academic environment. Through the doctoral education, you will acquire knowledge, skills and experience that qualify you for a further career in research, higher education, and other knowledge-intensive sectors.

The successful candidate will be admitted to the PhD programme in Science and Technology. The programme includes coursework, an independent research project culminating in a doctoral thesis, participation in national and international research communities, dissemination of research, a trial lecture, and a public defence of the thesis. For more information about the PhD education at UiS, please visit our website.

The position is for three years of pure research training.

As a PhD Fellow at UiS, you will receive supervision and support for your academic and professional development through mentoring, skills development, and career planning.

Research Topic

We are seeking highly motivated and talented candidates for a PhD position at the intersection of Energy Systems and Applied Artificial Intelligence (AI). As the urgency of addressing climate change continues to grow, innovative solutions that reduce emissions, improve energy efficiency, and support sustainable energy systems are more important than ever.

This PhD project focuses on the development of fast, accurate, and robust models for the real-time optimization and control of energy systems, with shallow geothermal energy as a central research area. The project will investigate how AI-driven modeling, system integration, and advanced operational strategies can enhance the performance, efficiency, and flexibility of modern energy systems.

Research Environment and Infrastructure
The successful candidate will have the opportunity to work with cutting-edge energy technologies at the University's Energy Central, a unique living laboratory for research, development, and demonstration of sustainable energy solutions.

• 120 geothermal boreholes, including 10 dedicated research wells equipped with different borehole heat exchanger designs
• Two large-scale commercial heat pumps, each with a heating capacity of 1.3 MW
• A research-scale heat pump utilizing supercritical CO₂ as the working fluid, serving as a testbed for data generation, system analysis, and methodology development
• Three gas-fired boilers and two electric boilers
• Thermal energy storage in the form of a hot-water accumulator
• Dry coolers and associated energy infrastructure
  

This advanced facility is equipped with state-of-the-art monitoring and measurement systems, providing high-quality data for the development and validation of digital twins and AI-based models for techno-economic optimization of integrated energy systems.
A key objective of the project is to incorporate forecasting methods and external data sources, including weather conditions, electricity prices, fuel costs, and emission pricing, to support intelligent and economically optimal system operation.

Why Join This PhD Project?

This PhD position provides a unique opportunity to conduct high-impact research in a highly applied environment, utilizing state-of-the-art energy infrastructure and extensive real-world operational data. The project combines advanced AI methodologies with practical energy-system challenges, offering excellent opportunities for academic development, industrial collaboration, and contribution to the green energy transition.

If you are passionate about sustainable energy systems and eager to apply artificial intelligence to solve real-world energy challenges, we encourage you to apply.

You must have a strong academic background and hold a five-year master's degree in a relevant field, or equivalent qualification, that provide a basis for undertaking doctoral studies, preferably obtained recently.

Relevant fields include:

• Mechanical Engineering
• Energy Engineering
• Thermal Engineering
• Process Engineering
• Computer Science, particularly with a focus on energy applications
• Other closely related disciplines

Your master's thesis grade and weighted average grade for the master's degree must both correspond to a grade of B or better.

• Strong knowledge of energy systems and energy technologies
• Solid understanding of artificial intelligence (AI), machine learning (ML), and data-driven modeling techniques
• Documented experience in mathematical modeling, programming, and software development
• Strong analytical and problem-solving skills
• Excellent written and oral communication skills in English

Experience in one or more of the following areas will be considered an advantage:

• AI-based optimization and control of energy systems
• Digital twins for energy applications
• Forecasting methods and predictive analytics
• Energy market analysis and decision-support systems
• Techno-economic assessment of energy technologies
• Experience with real-world energy projects, demonstration facilities, or industrial case studies

We will also place emphasis on whether you:

• demonstrate high academic integrity and a strong commitment to quality in your work
• are curious and motivated to carry out the research project and contribute to academic communities and collaboration across disciplines
• demonstrate potential for research within the field and have the personal qualities required to complete the doctoral programme within the employment period
• are able to work effectively both independently and in collaboration with other researchers
• have good collaboration skills and contribute to a constructive working environment

Proficiency in English, both written and spoken, is required for admission to the PhD programme.

International applicants who do not qualify for one of the exemptions listed below must document their English language proficiency by submitting a valid test result from one of the following tests:

• TOEFL iBT (Test of English as a Foreign Language): minimum score of 90/4.5
• IELTS Academic (International English Language Testing System): minimum score of 6.5
• Cambridge English: Certificate in Advanced English (CAE) or Certificate of Proficiency in English (CPE)
• PTE Academic (Pearson Test of English Academic): minimum score of 62

You are exempt from this requirement if you:

• have completed at least one year of university studies in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States
• have completed a master's degree taught in English in an EU/EEA country or in India
• qualify for an exemption according to the Norwegian Directorate for Higher Education and Skills (HK-dir) GSU list
• do not fall within any of the exemption categories listed above, but have resided in Norway for the past five years.

Languages ENGLISH Level Good

Research Field Technology

Additional Information

As a PhD Fellow at UiS, you will receive

• a PhD education at a university with a strong societal mission and ambitious academic goals
• an ambitious and inclusive research environment. We strive to include employees at all levels in strategic decisions and promote an informal atmosphere with a flat organisational structure.
• free Norwegian language courses if you do not have proficiency in Norwegian, Swedish, or Danish at level A2 at the time of employment.
• access to Lifekeys , a digital service that supports mental health and well-being
• salary in accordance with the State Salary Scale, code 1017, NOK 580 000 gross per year, with salary progression during the employment period. A statutory 2% contribution is deducted for membership in the Norwegian Public Service Pension Fund.
• employment with an Inclusive Workplace organisation committed to reducing sick leave and promoting and inclusive working life
• access to the Hjem-jobb-hjem programme, offering discounted public transportation to and from work
• access to comprehensive health services, generous parental leave arrangements and a well-developed welfare system.

Diversity and Inclusion

Diversity is a strength at the University of Stavanger. Different experiences, perspectives and backgrounds contribute to better solutions and a positive working and learning environment. We welcome applicants with diverse qualifications, life experiences and perspectives, and encourage all qualified candidates to apply, regardless of gender, age, disability, cultural background, or whether they have experienced periods outside the workforce. UiS is committed to supporting employees in different stages of life and to providing reasonable accommodation for employees with individual needs.

In accordance with applicable regulations, at least one qualified applicant with a disability, a gap in their CV, or an immigrant background will be invited for an interview. If this applies to you, you may indicate this in the application portal. Read more about the scheme here .

The University seeks to improve gender balance in PhD positions within this field and therefore particularly encourages women to apply. In cases where applicants are considered equally qualified, women may be given preference in accordance with applicable regulations.

Number of offers available 1 Company/Institute University of Stavanger, Department of Energy and Petroleum Engineering. Country Norway State/Province Rogaland City Stavanger Postal Code 4021 Street Kjell Arholmsgate 41