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About the position
Are you interested in Applied Artificial Intelligence, Education, and Medicine, and want to engage in research with skilled colleagues who share your interests? Maybe you can become our new colleague?
You will be affiliated with the PhD program in Technology at the Faculty of Technology, Natural Sciences and Maritime Sciences and formally employed at det USN School of business.
The PhD research fellowship is for a fixed term of three years with organized research training and is available from 01.01.2027 (or earlier if possible).
It is a condition that the person who accepts the position applies for and is granted admission to the doctoral programme in Technology within three months of starting in the position. The doctoral program includes relevant courses corresponding to approximately six months of study (30 ETCS), a thesis based on independent research, active participation in national and international research environments, relevant research dissemination, a trial lecture and public defense of the thesis. Read more about organised research training at USN on our website.
Your personnel manager will be Bjørn Hansen, the Head of Department of Business, History and Social Sciences, and your main supervisor will be Associate professor Katarina Mangaroska. The place of work will be at campus Vestfold.
About the doctoral project
The BRAIGED project aims to develop an explainable AI-driven educational diagnostic assistant enabling new research on how AI technologies create novel prerequisites, opportunities and challenges for learning, decision-making, and clinical reasoning in medicine. The project aims to move explainability beyond a purely technical feature and toward an interactive educational process that supports metacognitive reasoning, student agency, and responsible use of AI. The project will generate new knowledge and practical tools for implementing context-appropriate explainable AI solutions in medical education.
A central use case is kidney disease (e.g., CKD) and clinical reasoning using renal scintigraphy imaging alongside tabular and textual clinical data. The project integrates experiential learning models and simulation-based learning scenarios, grounded in the paradoxical inquiry framework, to recognize and embrace contradictions inherent in AI-driven medical training.
During the doctoral project, we expect you to
- Complete the doctoral program and obtain the doctoral degree within the employment period
- Conduct high-quality research within the framework of the BRAIGED project
- Develop a theoretically grounded and methodologically rigorous PhD project related to responsible, explainable and governable AI in healthcare and medical education
- Contribute to scholarly publications in high-quality international journals and conferences
- Participate actively in the research group’s activities, including seminars, workshops, project meetings and collaborative research discussions
- Participate in relevant courses offered through the doctoral program
- Contribute to interdisciplinary collaboration with researchers, healthcare professionals, educators, students and other project partners involved in BRAIGED
- Contribute to data collection and analysis (qualitative and quantitative): interviews, focus groups, surveys, usability studies and learning-scenario data
- Develop and evaluate machine learning pipelines (including preprocessing, segmentation/feature extraction, model training and validation)
- Design and test explainability methods
- Support the co-design and iterative prototyping of AI-driven educational diagnostic assistant tool
- Be prepared for changes in your work tasks after appointment
Qualifications
To be employed as a PhD candidate it is required that you have:
- Master’s degree (120 ECTS credits) (or equivalent qualifications) within Computer Science, AI, Data Science, Machine Learning; Biomedical Engineering, Medical Informatics; or a closely related 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 degree must have been obtained by the application deadline for the position
- Excellent written and oral English language skills (See “Requirements for proficiency in English)
- Meet the formal requirements for admission to USN’s doctoral programmes and Faculty for Technology, Natural Sciences and Maritime’s doctoral programme in Technology no later than three months after starting in the position
Personal qualities
In order to be able to complete a doctoral degree within the deadline, 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
- Have the academic skills and personal qualities to be able to complete the doctoral programme within the employment period
- Be flexible and open to adjusting the project plan as necessary
Requirements for proficiency in English
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.
Project description
Applicants must submit a preliminary research proposal with the application. The project description for the research project should be short and concise, maximum 2–4 pages (600-1200 words).
- Introduction (the title, main problem and research questions and the background to the project)
- State of the art (the project’s research field)
- Theory
- Methodology
- Work plan
- Bibliography
Applications with a project description exceeding 1200 words will not be processed.
The project proposal will be included in the assessment of the applicant’s competence.
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.
When assessing applications, particular importance will be attached to
- Formal qualifications
- The scientific quality, research relevance and degree of innovation of the project (see “Project description”)
- The relevance of the project to the profile of the doctoral programme (see “Project description”)
- The personal qualities mentioned above
- Strong programming skills
- Strong skills in data preprocessing and analysis
- Competence in research methods (quantitative, qualitative, or mixed-methods).
- Competence in developing and evaluating machine learning pipelines
- Familiarity with computer vision and natural language processing
- Familiarity with explainable AI techniques
- Familiarity with UX research, prototyping, and usability evaluation
- Familiarity with ethics and governance for health and educational data
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.
Welcome to USN
The University of Southeastern Norway (USN) ranks as the country's fourth largest higher education institution. We are a vibrant community of approximately 18,000 students and 1,900 employees.
Video: https://vimeo.com/898549899/60305e2540General 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. The University’s Guidelines for recruitment positions at the University of South-Eastern Norway 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.
How to apply
If you think this position looks interesting and matches your qualifications, you can submit an application electronically.Here you will need to enter a short application text and information about your relevant education and work experience. In the application text, you must clearly describe your skills and motivation for the position.
The application must include:
- Certified diplomas for your bachelor’s and master’s degrees (120 ECTS). The diplomas must be in a Scandinavian language or English
- Applicants with higher education completed outside Norway must provide documentation that the education has been recognised and approved by the Norwegian Directorate for Higher Education and Skills (HK-dir) You must submit your application for approval before the position’s application deadline. Attach a receipt (e-mail) or decision when applying. The approval must be forwarded once available and is a requirement for employment.
- An explanation of the grading system for foreign education (diploma supplement if available)
- Your master’s thesis. If your master’s thesis was a collaborative project, you must submit a short statement detailing your involvement
- Other relevant certificates and diplomas
- 2–4 pages project proposal describing the doctoral project
- A personal statement explaining your motivation for the position
- Documentation of your English language skills (See “Requirements for proficiency in English)
- List of any scholarly publications with reference for what sections in those papers the student produced/worked on
- Contact information for up to three references
The application will be assessed based on the information available in Jobbnorge at the expiry of the application deadline. Make sure your application shows clearly how your skills and experience meet the competence requirements described in the job advertisement.
When assessing who is best qualified for the position, we attach weight to education, experience and personal qualities.
All documentation must be provided in a Scandinavian language or English. If the attachments exceed 30 MB in total, they must be compressed before uploading.
Please note that information about you as an applicant may be disclosed publicly even if you have requested not to be included on the public list of applicants (cf. Section 25 of the Norwegian Freedom of Information Act). You will be notified if your request for exemption from public disclosure is denied.
We only consider applications and attachments registered in Jobbnorge. On request, you must be able to provide certified copies of your documentation.
Contact information
For more information about the position:
Assosiate Professor Katerina Mangaroska katerina.mangaroska@usn.no
For questions regarding the recruitment process:
HR-advicer Kari Ann Sommerset ksom@usn.no.
Om arbeidsgiveren:
At USN you’ll contribute to a mission that matters. The University of Southeastern Norway was established in 2018, following the merger of several smaller university colleges, some with historical roots dating back to the 17th and 18th centuries. We are committed to collaborative problem-solving, aiming to provide solutions that benefit our communities – locally as well as globally. With a strong emphasis on profession-oriented and socially relevant education, we prepare our students for the workforce and equip them with the necessary skills to make a positive impact on society.
Our diverse campuses are located from the beautiful fjords to the snow-covered mountains. USN spans three Norwegian counties, with campuses in Bø, Drammen, Horten, Kongsberg, Notodden, Porsgrunn, Ringerike, and Rauland.
Wherever you’re located, you will engage in meaningful work amidst a thriving student culture and innovative research environments. Our university offers a wide range of high-quality and internationally recognized academic programs.
At USN, we deeply value and cultivate our relationships with local communities. Our staff and students are actively engaged in a variety of projects that address societal challenges, driving change and innovation. We place a strong emphasis on diversity, inclusion, and equal opportunity, and we strive to shape future leaders, innovators, and change-makers.
Read more about working for us: Work for us - Universitetet i Sørøst-Norge
This is NTNU
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You will find more information about working at NTNU and the application process here.
Video: https://youtu.be/Xt-yHCN5QS0
About the position
We invite applications for a PhD position in sea-ice dynamics and numerical modelling, funded through Arctic Ocean 2050 — Norway’s national, decade-long flagship program for Arctic Ocean research. The PhD project will advance discrete element modelling (DEM) approaches for sea ice, with a focus on ridging processes and wave–ice interaction in the Marginal Ice Zone (MIZ), while also addressing computational efficiency and scalability.
The research will primarily build on and extend the SAMS (Simulation of Arctic Marine Systems) framework, using it as a platform for developing new sea-ice physics and modelling strategies relevant for next-generation Arctic prediction, monitoring, and decision-support systems.
The successful candidate will join a strong interdisciplinary research environment, gain access to advanced modelling tools and national computing infrastructure, and contribute to a high-impact research programme with strong relevance for Arctic decision support.
Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, in and outside academia.
Your immediate leader will be a professor.
About the project
Rapid Arctic warming is driving profound changes in sea-ice extent, thickness, and mechanical behavior, with wide-ranging implications for climate feedbacks, ecosystems, infrastructure, navigation, and geopolitics. Despite major advances, large-scale continuum sea-ice models still rely on simplified parameterizations to represent critical sub-grid physical processes such as ridging, floe interaction, jamming, and wave-induced breakup.
Discrete Element Models (DEMs) offer a powerful complementary framework by explicitly resolving ice floes and their mechanical interactions. By allowing deformation, fracture, and redistribution processes to emerge naturally from contact mechanics, DEMs provide a physically grounded basis for improving our understanding of sea-ice dynamics and informing more realistic parameterizations in continuum models.
The overarching ambition of this PhD study is to advance DEM-based sea-ice physics in a way that bridges floe-scale mechanics, continuum sea-ice model parameterization, and operational decision support.
- Develop physically consistent representations of ice ridging within a DEM framework, enabling simulation of ice compression, mass redistribution, and ridge keel formation.
- Incorporate wave–ice interaction processes, with emphasis on wave-induced floe motion, breakup, and rearrangement in the Marginal Ice Zone.
- Derive emergent sea-ice properties (e.g. effective strength, deformation rates, floe-size distributions) and translate these into improved parameterizations for continuum sea-ice models used in climate and forecasting systems.
- Improve computational efficiency and scalability of DEM-based simulations through algorithmic optimization, hierarchical or multi-resolution approaches, and/or reduced-order methods.
- Apply the developed modelling framework to assess mechanical ice hazards relevant for navigation, infrastructure, and Arctic observing systems.
This PhD position is an integral contribution to Arctic Ocean 2050, supporting the program’s ambition to deliver scientifically robust, scalable modelling tools for a rapidly changing Arctic Ocean.
The project is particularly aligned with Research Theme 5 (RT5: Advances in Observing and Modelling), where it contributes to the development of a hierarchical, physics-based modelling framework that links global and regional continuum models with high-resolution, process-resolving simulations. By advancing SAMS as a discrete element modelling platform, the project will provide physically grounded data to improve continuum sea-ice parameterizations, support machine-learning-based model emulators, and enhance the realism of Arctic digital twins.
In addition, the project supports RT2 (The Changing Arctic Ocean) by improving representation of sea-ice deformation, ridging, and MIZ dynamics; RT4 (Abrupt and Extreme Events) by enabling mechanistic studies of storm-driven breakup and nonlinear ice responses; and RT3 (Human Impact and Sustainable Use) by delivering tools for ice-related risk assessment relevant to shipping, offshore infrastructure, and monitoring operations.
Duties of the position
- Complete the doctoral education until obtaining a doctorate
- Carry out high-quality research on DEM-based sea-ice modelling
- Develop models for ridging, wave-ice interaction, and flow dynamics
- Academic publications and popular science dissemination
- Contribute to development of parameterizations for continuum models
- Participate in international activities such as conferences and/or research stays at foreign educational institutions
- Participate in the research group Marine Civil Engineering
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have a relevant Master's degree in engineering, physics, applied mathematics, geophysics, oceanography, or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but the master's degree must be obtained and documented before starting the position.
- You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you maybe considered if you can document that you are particularly suitable for a PhD education.
- You must meet the requirements for admission to the faculty's Doctoral Programme
- Good oral and written presentation skills in English
- Experience with scientific programming
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.
Preferred selection criteria
- Knowledge of sea-ice physics, wave-ice interactions, or Arctic processes
- Experience with numerical modelling
- Experience with high-performance computing
- Interest in interdisciplinary research
- Good oral and written presentation skills in Norwegian/Scandinavian
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- Work independently
- Work in a structured way, set goals and make plans to achieve them
- Show curiosity and a strong motivation for the subject
- Present and discuss your research with other professionals
- Get involved and contribute constructively with feedback
- Demonstrate strong communication skills
Emphasis will be placed on personal qualities.
We offer
Evaluate and remove/add what is relevant for the position.
- An exciting job with an important mission in society
- Developing tasks in a strong and international professional environment
- Career guidance and follow-up during the PhD period
- Open and inclusive working environment with committed colleagues
- Working capital that can be used to implement the project
- Mentor programme as a new employee at NTNU
- Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
- Free Norwegian language training at a basic level (A2)
As a PhD Candidate at NTNU, you will have access to employee benefits.
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 potential 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.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
At NTNU we want to increase the proportion of women in scientific positions. We have a number of 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.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Civil and Environmental Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme through out the period of employment.
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 professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services).
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/a Scandinavian language 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 Bachelor's and Master's degrees
- CV
- Copy of Master's thesis. If you have recently submitted your Master's thesis, you can attach a draft of the thesis. Documentation of a completed Master's degree must be presented before taking up the position.
- Project outline containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages)
- Short letter of motivation (400 words/1 page)
- Possibly publications etc. other relevant research work
- Possibly certificates
- Names and contact information of three relevant referees
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from 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, you must 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 the 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).
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 Raed Lubbad, telephone +47 73 59 45 83, e-mail: raed.lubbad@ntnu.no.
If you have any questions about the recruitment process, please contact HR Consultant Oda Aune, e-mail: oda.aune@ntnu.no.
Application deadline: 23.08.2026
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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 probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
Om arbeidsgiveren:
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 Civil and Environmental Engineering
We conduct research and teaching in civil and transportation engineering, technical planning, structural engineering, water and wastewater engineering and hydraulic engineering. Graduates from our programmes become employees – in both the public and private sectors – with a sustainability mindset combined with competitive knowledge and skills. The Department of Civil and Environmental Engineering is one of eight departments in the Faculty of Engineering.
This is NTNU
NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You will find more information about working at NTNU and the application process here.
Video: https://youtu.be/Xt-yHCN5QS0
About the position
The Norwegian Center on AI for Decisions (aiD) has vacancy for a PhD fellowship in Predictive AI-Based Maintenance and Optimization of Building Energy Management Systems. aiD is one of the new Norwegian AI research initiatives, funded by the Research Council of Norway and industry partners. It consists of 13 research partners and more than 60 partners from industry and public sector led by NTNU and SINTEF. All open positions will be cross-linked on the aiD website aid-center.no
About the Position
Are you passionate about artificial intelligence, digital twins, and energy management systems in buildings? We are offering a fully funded, three-year PhD position to develop a cutting-edge AI decision-support tool for predictive maintenance and optimization of building energy management systems and technologies (i.e., Heating, Ventilation and Air Conditioning - HVAC). Partnering with Statsbygg, the Norwegian Government’s Building Agency, your research will be deployed across a massive portfolio of public buildings. Moving beyond outdated calendar-based maintenance schedules, your mission is to solve a critical economic and environmental timing problem: knowing exactly when it becomes cost-optimal to intervene in degrading or overloaded systems. You will overcome the scarcity of real-world fault data by combining Simulation-Based Inference (SBI) and Building Performance Simulation (BPS). By integrating historical facility management (FDVU) records with live building sensor data, you will train AI models to recognize abnormal performance patterns, quantify quality-adjusted service life, and autonomously recommend whether a system needs maintenance, recalibration, or a capacity upgrade.
Your immediate leader will be the Head of Department.
About the project
This position is hosted at the aiD Center, a premier research hub dedicated to advancing the role of artificial intelligence in complex decision-making processes. Hosted by the Norwegian University of Science and Technology (NTNU) and SINTEF aiD bridges technological, organizational, and human-centric gaps to foster a society where AI-driven value creation is safe and ethical. As an aiD-PhD candidate, you will collaborate closely with academic experts and industry leaders ensuring your research translates directly into portfolio-scale impact for the future of national real estate. You will be working with a multidisciplinary team of experts in building systems, artificial intelligence and decision-making. The supervision team includes:
- Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning
- Prof. Mohamed Hamdy – building performance simulation, building automation systems, and multi-objective optimization.
- Prof. Freja Nygaard Rasmussen – life cycle assessment
- Prof. Sebastien Gros – decision-making, energy use, AI and machine learning
- Dr. Signe Riemer-Sørensen - AI and machine learning, hybrid analyses
- Prof. Ahmed Kedir Mohammed – data analysis and machine learning
Duties of the position
- Complete the doctoral education until obtaining a doctorate
- Carry out research of good quality within the framework described above
- Academic publications and popular science dissemination
- Participate in the aiD research network and engage with Statsbygg
- Contribute to research and knowledge exchange activities at the department
- Participate in international activities such as conferences and/or research stays abroad
- Contribute to supervision activities if required
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have a relevant master’s degree in civil engineering, mechanical power engineering or a related field. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level
- You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you may be considered if you can document that you are particularly suitable for a PhD education
- You must meet the requirements for admission to the Doctoral Programme - PhD - Faculty of Engineering Science - NTNU
- Good written and oral communication skills in English
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.
Preferred selection criteria
- Machine Learning Expertise: A robust foundation in probabilistic modeling, Bayesian inference, deep learning, and/or anomaly detection
- Modeling & Simulation Experience: Familiarity with Building Performance Simulation (BPS) tools, such as EnergyPlus or IDA ICE
- Building Automation System (BAS) and Building Energy Management (BEM)
- Data Integration Proficiency: Ability to work with complex, heterogeneous data streams
- Domain Knowledge Advantage: Familiarity with building energy systems, HVAC operations, or fault detection and diagnosis (FDD) is considered a strong asset
- Work Experience: Relevant work experience in operation and maintenance of buildings
- Communication skills: Good oral and written presentation skills in Norwegian or another Scandinavian language equivalent to level B2-C
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- Work independently
- Work in a structured way, set goals and make plans to achieve them
- Present and discuss your research with other professionals
- 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
- Analyze data, assess different perspectives and draw well-founded conclusions
- Be flexible and open to adjusting the plan for the project as needed
Emphasis will be placed on personal qualities.
We offer
- An exciting job with an important mission in society
- Developing tasks in a strong and international professional environment
- Career guidance and follow-up during the PhD period
- Open and inclusive working environment with committed colleagues
- Working capital that can be used to implement the project
- Mentor programme as a new employee at NTNU
- Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
- Free Norwegian language training at a basic level (A2)
As a PhD Candidate at NTNU, you will have access to employee benefits.
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 potential 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.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
At NTNU we want to increase the proportion of women in scientific positions. We have a number of 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 for the doctoral work.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU within three months of your employment contract start date, and that you participate in an organized doctoral programme 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 professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed.
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/a Scandinavian language 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 Bachelor's and Master's degrees
- CV
- Copy of Master's thesis. If you have recently submitted your Master's thesis, you can attach a draft of the thesis. Documentation of a completed Master's degree must be presented before taking up the position.
- Project outline containing proposals for an overall description of research questions, theoretical perspectives, methodological design for the project and progress plan (maximum 1500 words/4 pages)
- Short letter of motivation (400 words/1 page)
- Possibly publications etc. other relevant research work
- Possibly certificates
- Names and contact information of three relevant referees
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from 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, you must 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 the 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).
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 Associate Professor Ivan Depina, 40389387, ivan.depina@ntnu.no and Professor Mohamed Hamdy, mohamed.hamdy@ntnu.no
If you have any questions about the recruitment process, please contact Ragne Matberg (HR Consultant), email: ragne.matberg@ntnu.no
Application deadline: 16.08.2026
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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 probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
Om arbeidsgiveren:
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 Civil and Environmental Engineering
We conduct research and teaching in civil and transportation engineering, technical planning, structural engineering, water and wastewater engineering and hydraulic engineering. Graduates from our programmes become employees – in both the public and private sectors – with a sustainability mindset combined with competitive knowledge and skills. The Department of Civil and Environmental Engineering is one of eight departments in the Faculty of Engineering.
Kaubahoovi müügikonsultant-tõstukijuht UUDE Raadi K-rautasse
Tööülesanded: • Kauba vastuvõtmine ja transpordivahendilt maha laadimine kaupluse lattu;
• kauba ja saatedokumentide kontroll ja kinnitamine;
• kliendiga suhtlemine ja abistamine;
• kauba paigutamine ja ladustamine;
• ladustatud kauba korrashoiu jälgimine;
• kauba pakendamine ja markeerimine;
• kaupade varustamine hinnainfoga;
• klienditeenindusala korrashoid.
Omalt poolt pakume: Põnevaid väljakutseid rahvusvahelises ettevõttes ning mitmekesist ja vastutusrikast tööd; omatöötaja soodustusi; sporditoetust; tasustatud teist haiguspäeva; toetusi oluliste sündmuste puhul elus; sõbralikku ja toetavat meeskonda; täiendkoolitusi ja arenguvõimalusi.
Muud nõuded: Oskad heal tasemel eesti keelt; oled hea suhtlemis- ja meeskonnatööoskusega; oled täpne ja korrektne oma tegevustes; oled hea füüsilise vastupidavusega; suudad teisaldada raskusi; oskad kasutada arvutit kesktasemel; oled positiivse ellusuhtumisega; oled hea analüüsivõimega; oskad lahendada edukalt probleeme; omad tõstukijuhi luba.
Kodus töötamise võimalus: Ei
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