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We are currently seeking a part-time (20%) qualified teacher for our Primary Years Programme (PYP) to cover for a parent leave.
MIS is a fully IB accredited international school in Brussels, Belgium for students from Years 5 - 18. Our school has approximately 210 students and offers both a fully Anglophone or Bilingual (French/English) programme. Our small campus and small groups provide an optimal teaching and learning environment. Our staff come from all over the world, with international experience, and you would join a small, dynamic and collaborative team with a hands-on approach to learning.
CLOSING DATE: 5/6/26
START DATE : 18/8/2026
END DATE: 30/6/2027
The ideal candidate will be:
¿ Passionate about students, teaching and learning
¿ Open-minded, collaborative, and able to bring ideas and solutions to the table
¿ Actively involved in the life of our school
¿ Creative, Flexible and adaptable to the needs of students and the school as we grow and develop each year
¿ Able and interested in the use of new technologies
The ideal candidate will have:
¿ A university degree in education, theatre and/or related fields/
¿ Experience planning, setting up, and coordinating theatre productions with children.
¿ Teaching experience, preferably in an international setting and programme.
¿ Fluency in English. Working knowledge of any other language is an advantage
Being a teacher at MIS involves:
¿ contributing towards the creation of a happy, caring environment which reflects a learner-centred, inquiry-based and experiential approach to learning
¿ differentiating teaching & learning to cater for students with various academic and language levels
¿ preparing good quality units and lesson plans in line with IB standards and practices
¿ organising and setting up of interesting and relevant school trips for the students
¿ being available and open to providing extra support to the students
¿ being an active member of the MIS community life by participating in and/or leading school clubs and extracurricular activities
¿ being flexible and open to teaching various grade levels and courses
¿ demonstrating a genuine interest in on-going personal and professional development
¿ providing a safe, supportive learning environment for students, teachers and all others community members
¿ planning and collaborating with colleagues on various interdisciplinary learning projects including the PYP 5 Exhibition and exams and the PYP Play
¿ keeping parents informed about student progress and attending parent meetings
¿ keeping up-to-date records of attendance, curriculum, assessment tasks and assessment data
¿ preparing student reports and references, and other reports as required
¿ carrying out supervision at break times, lunch times and other times as required
¿ participating as required in the preparation for inspections, authorizations and accreditations
¿ preparing documentation for IB external assessment.
We offer:
¿ A one year contract for school year 26-27
¿ Compensation will be determined according to our salary scale, which takes into account the candidate's relevant teaching experience and qualifications.
¿ Meal vouchers, 13th month and holiday pay
¿ Collaboration with a highly motivated team
¿ Manageable class sizes
¿ Freedom for creativity and innovation
¿ Opportunities for further professional development
¿ An international school community
For more information about our school please visit our website : https://www.mischool.be/
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
aiD – AI for Decisions – is one of Norway's new national AI research centers, funded by the Research Council of Norway and industry partners. Led by NTNU and SINTEF, the center brings together 13 research partners and more than 60 partners from industry and the public sector. All open positions will be cross-linked on the aiD website aid-center.no
The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year position, which could potentially be extended with career promotion work like teaching duties.
Are you motivated to take a step towards a doctorate and open 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 the Head of Department.
About the project
Many critical decisions in science and engineering, from managing power grids to planning subsurface energy operations, depend on computational models that are inherently uncertain. Uncertainty quantification (UQ) seeks to characterize and propagate this uncertainty but translating it into actionable risk measures remains computationally demanding and methodologically challenging. In realistic applications, uncertainty arises from multiple sources, including parametric uncertainty, model-form and structural assumptions, numerical discretization, and incomplete or noisy observations. Addressing these uncertainties typically relies on ensemble-based simulations using computationally expensive high-fidelity models.
This PhD project addresses this challenge by researching agentic programming frameworks for decision-oriented uncertainty and risk quantification, in which multiple specialized AI agents collaborate to design, execute, and evaluate UQ workflows under computational constraints. Rather than automating predefined pipelines, the agents act as meta-decision-makers, reasoning about modelling assumptions, approximation levels, and the choice of risk measures considering both decision objectives and available resources.
The central scientific aim of the PhD project is to establish formal links between uncertainty representations, risk measures, and downstream decisions, and to study how agentic reasoning can navigate trade-offs between interpretability, statistical reliability, and computational feasibility – and to develop principled criteria for when a given risk measure is well-founded given available data and resources, and when alternative approximations should be considered.
Duties of the position
- Complete the doctoral education until obtaining a doctorate.
- Conducting high-quality research within the scope of the project.
- Contributing to research publications in leading international journals and conferences.
- Participating in international activities such as conferences, workshops and possible research stays abroad.
- Disseminating research results to both scientific and broader audiences.
- Collaborating with academic and industrial project partners.
- Implementing and testing algorithms in high-performance open-source scientific software.
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have a relevant Master's degree in mathematics or equivalent. Your education 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 and no later than 01.09.2026.
- 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 (https://www.ntnu.no/studier/phma).
- You must have documented programming experience relevant to scientific computing, for example in Python, MATLAB, Julia, C++ or similar languages.
- You must have 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
It is an advantage if you have experience with one or more of the following topics:
- numerical methods for (partial) differential equations.
- optimization or inverse problems.
- data assimilation or uncertainty quantification.
- agentic and generative AI.
- solid, structural, or fluid mechanics.
- adjoint methods, automatic differentiation, or differentiable programming.
- scientific software development, including reproducible workflows and version control.
- high-performance computing or parallel computing.
It is also an advantage if you have experience with publication-oriented research work and collaboration in international research environments.
Knowledge of Norwegian or another Scandinavian language is beneficial but not required.
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- are highly motivated and curious about mathematical and computational research.
- can work independently and in a structured manner.
- have strong analytical skills and the ability to engage deeply with complex problems.
- can collaborate constructively with supervisors, colleagues and project partners.
- communicate your ideas and results clearly and are willing to discuss them with others.
- demonstrate perseverance and flexibility when facing research challenges.
Emphasis will be placed on personal qualities and motivation for the position.
We offer
- An exciting job with an important mission in society.
- Close collaboration with internationally leading research groups at both NTNU and SINTEF in scientific computing, numerical methods, and AI.
- Stimulating work in a strong national and international professional environment.
- Career guidance and follow-up during the PhD period.
- Open and inclusive working environment with committed colleagues.
- 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. The department might in addition offer upto 1 year of career promotion work.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in (https://www.ntnu.no/studier/phma) within three months of your employment contract start date, and that you participate in an organized doctoral programme through out 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 be in 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 English or a Scandinavian language.
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:
- CV.
- Transcripts and diplomas for Bachelor's and Master's degrees.
- 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.
- 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 Trond Kvamsdal, Professor at Department of Mathematical Sciences, NTNU through e-mail: Trond.Kvamsdal@ntnu.no or Chief Scientist Knut-Andreas Lie at Department of Mathematics and Cybernetics, SINTEF Digital, through e-mail: Knut-Andreas.Lie@sintef.no.
If you have any questions about the recruitment process, please contact Lisa Wedershoven, e-mail: lisa.wedershoven@ntnu.no.
Application deadline: 03.08.2026.
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 Mathematical Sciences
We are Norway’s largest university environment in mathematical sciences.
The Department has a particular responsibility for all basis education in mathematical sciences for engineering and natural science students at NTNU. We focus on long-term basic research and applied research at a high international level.
Our aim is to meet the society’s needs for mathematical and statistical expertise in business and public administration as well as in the research and education sector. The Department of Mathematical Sciences is one of seven departments in the Faculty of Information Technology and Electrical 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
This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/), a Norwegian national research centre led by SINTEF Energy Research. FME NorthWind advances research and innovation for the sustainable development of wind energy, with particular emphasis on balancing technological deployment with environmental and societal sustainability. The position is linked to Work Package 5: Sustainable Wind Development, which develops tools and knowledge for reducing environmental and community-related conflicts and supporting robust decision-making under uncertainty.
The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, fluid mechanics, and ecology. A successful candidate will be offered a three-year position, which could potentially be extended with teaching duties.
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 the Head of Department.
About the project
This PhD position is part of the WP5 Sustainable wind development and related to bird collision risks which is one of the main environmental impacts of onshore and offshore wind turbines on birds. In an offshore setting, many seabird populations are in sharp decline due to climate change and anthropogenic marine activities. There exists yet little knowledge on the extent of collision mortality internationally, due to the difficulty in recording such collision events offshore. Also, existing collision risk models are simplistic in nature and heavily rely on accurate knowledge of avoidance in birds. The PhD will develop an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This model will be fed by existing empirical data on bird flight behavioural responses to wind turbines from various bird radar studies. This model will allow simulation of birds flying within the turbulent airspace of a wind farm, and prediction of the probability of collision at wind turbines. This will be integrated into a Digital Twin (DT) framework to realize augmented reality to inform stakeholders of future environmental impacts of the planned wind farms.
We offer the opportunity to work in a very inspiring and motivating multidisciplinary research group to achieve the goal which is a completed doctoral education up to an obtained doctoral degree.
Duties of the position
- Complete the doctoral education until obtaining a doctorate.
- Conducting high-quality research within the scope of the project.
- Contributing to research publications in leading international journals and conferences.
- Participating in international activities such as conferences, workshops and possible research stays abroad.
- Disseminating research results to both scientific and broader audiences.
- The candidate must engage in FME NorthWind activities as required.
- Implementing and testing algorithms in high-performing open-source scientific software.
Required selection criteria
- You must have a professionally relevant background in Applied/Numerical Mathematics, Physics and/or Ecology with a solid education in numerical methods for solving partial differential equations. Master students can apply, but the master's degree must be obtained and documented before starting the position and no later than 2026-09-01.
- You must have a proven ability to apply such models in applied ecological settings.
- 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 faculty's Doctoral Programme (https://www.ntnu.no/studier/phma).
- Applicants must have significant programming experience ideally in C, C++, R and/or Python.
- You must have 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
It is an advantage if you have experience with one or more of the following topics:
- Experience in ornithology and/or movement ecology.
- Numerical methods for differential equations
It is also an advantage if you have experience with publication-oriented research work and collaboration in international research environments.
Knowledge of Norwegian or another Scandinavian language is beneficial but not required.
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- are highly motivated and curious about the above-mentioned research theme.
- can work independently and in a structured manner.
- have strong analytical skills and the ability to engage deeply with complex problems.
- can collaborate constructively with supervisors, colleagues and project partners.
- communicate your ideas and results clearly and are willing to discuss them with others.
- show perseverance and flexibility when facing research challenges.
Emphasis will be placed on personal qualities and motivation for the position.
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. The department might be able to offer an extension of upto 12 months of career promotion work.
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Mathematical Sciences (https://www.ntnu.no/studier/phma) within three months of your employment contract start date, and that you participate in an organized doctoral programme through out 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 be in 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 English or a Scandinavian language.
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:
- A cover letter where the applicant describes the personal motivation, summarising scientific work, and how the applicant sees her/his background suitable for the position’s focus of research. The cover letter should clearly state the applicant’s experiences for each of the required and preferred selection criteria.
- CV.
- Transcripts and diplomas for Bachelor's and Master's degrees.
- 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.
- Possibly publications etc. other relevant research work.
- Possibly certificates.
- Names and contact information of two or 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 Trond Kvamsdal, Professor at Department of Mathematical Sciences, NTNU, through e-mail: Trond.Kvamsdal@ntnu.no. If you have any questions about the recruitment process, please contact Lisa Wedershoven, e-mail: lisa.wedershoven@ntnu.no.
Application deadline: 03.08.2026.
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 Mathematical Sciences
We are Norway’s largest university environment in mathematical sciences.
The Department has a particular responsibility for all basis education in mathematical sciences for engineering and natural science students at NTNU. We focus on long-term basic research and applied research at a high international level.
Our aim is to meet the society’s needs for mathematical and statistical expertise in business and public administration as well as in the research and education sector. The Department of Mathematical Sciences is one of seven departments in the Faculty of Information Technology and Electrical 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
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.
The Department of Manufacturing and Civil Engineering (IVB) at the Norwegian University of Science and Technology (NTNU) has a vacancy for a PhD Candidate in AI Transfer Learning for Design-to-Manufacturing in Circular Production Systems. The position is affiliated with the Production Management research group and offers a unique opportunity to work at the intersection of artificial intelligence, advanced manufacturing, and circular manufacturing in small and medium-sized enterprise (SME) contexts.
The PhD project will be carried out within a smart circular lab integrated into our Learning Factory, which serves both as a research instrument and as a validation environment for industry-relevant case studies.
The employment period is 3 years. Your immediate leader will be the Head of the Production Management research group.
About the project
Advanced digital technologies — including cyber-physical systems (CPS), artificial intelligence (AI), and the Internet of Things (IoT) — are reshaping manufacturing toward more sustainable, circular practices. While these technologies hold great promise, their integration across the full design-to-manufacturing system remains underexplored, particularly in data-scarce SME environments where product design and manufacturing must be co-optimized for multiple lifecycle iterations.
This PhD project addresses three critical research gaps: (1) transfer learning for design–manufacturing integration; (2) AI optimization under circular constraints; and (3) validation and generalizability of learning factory findings to industrial practice.
Main research question: How can transfer learning enable bidirectional knowledge flow between AI-driven product design and manufacturing optimization in circular economy systems under resource-constrained conditions?
The research objectives are to:
- Develop and validate a transfer learning framework for bidirectional knowledge flow between product design and manufacturing AI models under circular constraints.
- Establish computational foundations for reinforcement learning under non-stationary material flows characteristic of circular systems.
- Create validated experimental protocols that enable learning factory findings to generalize to industrial SME practice.
The work is organized in three phases: theoretical foundation and algorithm development (months 1–12); experimental implementation and validation on a physical testbed with 3–5 SME industrial partners (months 13–30); and analysis, generalization, and dissemination (months 31–36).
Duties of the position
- Conduct independent research and contribute to the development of novel transfer learning architectures for AI-driven product design and circular manufacturing.
- Design, implement, and test algorithms on a physical smart circular testbed in our Learning Factory.
- Carry out industrial case studies in close collaboration with SME partners.
- Publish results in recognised international scientific journals and present them at international conferences.
- Contribute to teaching activities and to the development of the department’s new Master’s programme.
- Take part in the mandatory PhD research education programme.
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have an academically relevant Master’s degree in mechatronics engineering, Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Computer Science, Artificial Intelligence, Data Science, Industrial Design, Industrial Design Engineering, or a closely related field.
- Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master’s level. Master’s students can apply, but they must obtain and document the master’s degree before starting the position.
- You must have practical industrial experience relevant to manufacturing, production, or engineering — obtained either through an internship, project work, or full-time employment in industry.
- You must have a strong academic background from your previous studies and an average grade from your Master’s degree, 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 Faculty’s Doctoral Programme in Engineering.
- Documented programming experience (e.g. Python) and working knowledge of machine learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn).
- You must have very good oral and written English skills.
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
- Research or project experience in one or more of: transfer learning, reinforcement learning, deep learning, optimization under uncertainty, or digital twins.
- Knowledge of circular manufacturing, sustainable manufacturing, life cycle assessment, or design for disassembly/remanufacturing.
- Familiarity with cyber-physical systems, IoT integration, or learning factory environments.
- Experience working with SMEs.
- Experience with experimental design, statistical analysis, and benchmarking of AI algorithms on physical testbeds.
- Previous publications in peer-reviewed international journals or conferences.
Personal characteristics
- Research-oriented mindset with a strong interest in understanding the underlying mechanisms of phenomena.
- Independent, structured and able to take responsibility for your own research progress.
- Strong analytical and problem-solving skills, with the ability to work across disciplines.
- Excellent communication skills and the ability to convey complex ideas to both academic and industrial audiences.
- Modest, open to feedback and input from others, and able to respect, collaborate, and negotiate with industrial and academic partners.
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, at the intersection of AI, advanced manufacturing, and sustainability.
- Developing tasks in a strong and international professional environment.
- Access to a state-of-the-art smart circular lab within the Learning Factory and to a network of SME industrial partners.
- Career guidance and follow-up during the PhD period
- Open and inclusive working environment with committed colleagues
- 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 in Engineering 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 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). 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 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.
- CV, including a list of publications (if any), and contact information for two to three references.
- Transcripts and diplomas from Bachelor’s and Master’s degrees. Diploma Supplement is required for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of the Master Diploma from China Credentials Verification (CHSI).
- A cover letter (motivation letter) of maximum two pages, describing your motivation, research interests, and how you meet the selection criteria. Your cover letter and research statement should reflect your own voice and ideas. If you use AI tools in preparing your application, please do so transparently and creatively — as a thinking aid rather than a substitute for your own reflection.
- A brief research statement (1–2 pages) outlining your preliminary ideas in relation to the project description.
- Copies of relevant academic works (Master’s thesis and any publications).
- Documentation of English proficiency, if applicable.
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.
Questions about the position can be directed to Associate ProfessorCarla Susana A Assuad e-mail: carla.assuad@ntnu.no
If you have any questions about the recruitment process, please contact HR Advisor Kristine Rognlid Hagaseth , e-mail: kristine.r.hagaseth@ntnu.no.
Application deadline: 26.07.2025
-----------------
For practical information about working at NTNU, please visit this webpage.
Gjøvik, a charming town by the shores of Lake Mjøsa, is known for its beautiful nature and rich cultural offerings. The town boasts a vibrant community with excellent schools, modern healthcare services, and a variety of recreational activities. With its strategic location, just a short drive from Oslo, Gjøvik combines the best of urban life and natural experiences. Here, you'll find a dynamic business environment and exciting career opportunities in a setting that values work-life balance.
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 Manufacturing and Civil Engineering
Our profile of expertise can help to solve the world’s most important societal challenge: the development of sustainable solutions in industry and society. This profile includes research on modern industrial processes, use of new and recycled materials, new technological solutions and the application of new forms of organization and business models. The Department of Manufacturing and Civil 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
About the strategic area Ocean and coast
NTNU Ocean and Coast is one of five strategic research areas at NTNU. The idea behind these research areas is that complex societal challenges (such as the climate crisis) must be solved collectively. These strategic research areas are therefore established to promote
interdisciplinary and multidisciplinary research. The goal is to develop new solutions through radical interdisciplinarity, thereby contributing to real change and a better future.
Inspired by NTNU's strategy ‘Knowledge for a Better World’, the strategic research areas are intended to be a place where ideas meet action—a space for thinking outside the box and developing groundbreaking solutions to problems that truly matter. These research areas cover the full breadth of academic disciplines at NTNU, including artistic research, and all faculties are invited to contribute.
The Ocean and Coast strategic research area focuses on societal challenges related to the open ocean, coastal areas with their fjords and coastal communities, rivers and lakes, the water cycle, and water more generally. The Arctic faces particular challenges that will also be emphasized. Three key concepts define our approach: preserve, develop, and restore.
To address these challenges, NTNU Ocean and Coast has established eleven interdisciplinary research teams with different focus areas. We encourage you to visit our website for more information about these research teams: https://www.ntnu.edu/ocean-coast
The Department of Biological Sciences Ålesund (IBA) at Norwegian University of Science and Technology is opening a PhD position in AI-enabled biological monitoring as part of the ongoing COD-SPAWN project funded by the Ocean and Coast thematic research area of NTNU.
COD-SPAWN aims to develop novel sensor technologies and autonomous monitoring systems for marine environments, with a particular focus on supporting sustainable coastal and fjord ecosystems. The project integrates advanced sensing, robotics, and artificial intelligence to enable continuous, high-resolution monitoring of environmental conditions and biological processes.
The sensor technology has been successfully validated in laboratory conditions and will be further developed and adapted for marine deployment and in situ analyses. Borgundfjorden, outside Ålesund, will be used as a living laboratory and demonstration site, with particular focus on Atlantic cod spawning dynamics. This project is expected to involve extensive field activities.
The successful candidate will contribute to the following areas:
- Further development and field implementation of our water sampling and analyses system for:
- Machine vision-based (AI) plankton and particle imaging
- Implementation of sample collection for subsequent genetic analyses
- Fieldwork and sampling campaigns to generate data series on coastal cod spawning dynamics, including:
- Presence and distribution of fish eggs, zooplankton and particles
- Presence and biological status of spawning fish
- Water quality parameters
Within the scope of the project, the PhD research can be adapted to the candidate’s interests and background, allowing for specialization in biology/ecology, modelling or machine learning applications.
We are seeking a highly motivated and skilled candidate with a background in marine biology, fisheries biology, biological oceanography, marine environmental sciences, or related fields.
Candidates with documented experience in the application of AI (object detection) in biological studies are especially encouraged to apply.
The project is inherently interdisciplinary, and the candidate will collaborate closely with experts in marine biology, environmental monitoring, ocean engineering, robotics, cybernetics and data science.
Your immediate leader will be the Head of Department.
About the project
COD-SPAWN is an ambitious, cross-disciplinary research initiative at NTNU Ålesund that develops and pilots a next-generation autonomous monitoring system for Atlantic cod spawning and pollution dynamics in Borgundfjorden — Norway's second most important cod spawning ground and a nationally prioritized site for sediment remediation.
The project employs and further develops our advanced AI-based system for marine plankton and particle analyses alongside a suite of marine water quality sensors. In addition to the use of more traditional sampling methods from shore and boats, it deploys unmanned surface vehicles (USVs) equipped with image-based particle sensors and AI-driven data analysis pipelines to enable real-time, high-resolution detection of cod eggs, microplastics, and suspended contamination in a fjord that has historically been compromised by pollution.
The project team involves researchers from several departments at NTNU Ålesund, and you will be part of the core team consisting of two PhD researchers, and two Postdoctoral researchers.
Duties of the position
- Complete the doctoral training program and successfully obtain a PhD degree
- Conduct high-quality research within the framework described above
- Contribute to academic publications and engage in popular science dissemination
- Actively participate in the research group associated with the project
- Engage in international academic activities, including conferences and/or research stays at partner institutions abroad
Required selection criteria
- You must have a Master's degree in MSc in natural sciences, preferably within the fields of either marine biology, fisheries biology, biological oceanography, marine environmental sciences or a closely related fields. Candidates with a background in marine technology or computer science, combined with relevant biological experience, will also be considered.
- Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master's students can apply, but the master's degree must be obtained and documented before starting the position, and no later than September 2026.
- 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 be able to communicate fluently in English, both in writing and in scientific conversations.
- Your background and motivation for this position must clearly show your ability to fulfill the tasks outlined in the duties of the position.
The appointment is to be made in accordance with NTNUs guidelines for recruitment positions for general criteria for the position.
Preferred selection criteria
- Strong interest in learning and utilizing new technologies to investigate marine and biological systems
- General understanding of object recognition, as it will support fast start-up of research activities
- Good knowledge of Norwegian or other Scandinavian language
- Driving license class B (car), ideally BE (car with trailer)
- Boat driving license for Norway
- Experience with work at sea
Personal characteristics
To complete a doctoral degree (PhD), it is important that you can:
- 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
- Exciting and stimulating tasks in a strong international academic environment
- Opportunities to work in a cross-disciplinary team at the interface of marine biology and advanced technologies
- Access to unique fjord monitoring datasets and the Fjordlab marine research infrastructure
- Collaboration with research institutes, public authorities, and industry partners
- Opportunities to contribute to sustainable management of coastal and marine environments
- As a doctoral student at NTNU, you will have access to employee benefits.
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.
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 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). 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 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.
- Short letter of motivation (400 words/1 page)
- Publications etc. other relevant research work
- Relevant 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 Head of Department Lars Gansel, e-mail: gansel@ntnu.no or Associate Professor Snorre Bakke, e-mail: snorre.bakke@ntnu.no
If you have any questions about the recruitment process, please contact HR-advisor Ingvild Vartdal, e-mail: ingvild.vartdal@ntnu.no
Application deadline: 26.07.2026
-----------------
For practical information about working at NTNU, please visit this webpage.
Ålesund, known for its unique Art Nouveau architecture and spectacular nature, is a gem on Norway's west coast. The city offers a vibrant cultural life, modern facilities, and a dynamic business environment. With its strategic location by the sea, Ålesund provides a perfect balance between urban living and natural experiences. Here, you will find excellent schools, top-notch healthcare services, and a wide range of recreational activities. Ålesund is an ideal place for both career and family life, with a safe and inclusive community.
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 Biological Sciences Ålesund
We work with health and sustainable exploitation of marine resources, as well as medical and marine laboratory technology. The Department has close ties with regional business and industry in the health and marine sectors. This applies to research, education and innovation. The Department of Biological Sciences Ålesund is one of seven departments in the Faculty of Natural Sciences.
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
Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate at the Department of Energy and Process Engineering, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a career in research within and beyond academia. The PhD candidate will contribute to furthering the development of key ecological impact models within the field of life cycle assessment.
IndEcol is a pioneer in the development and application of industrial ecology methods, as well as the use of large data sets and scientific computing in industrial ecology. We focus on understanding resource use and environmental pollution associated with human activities, assessing the environmental aspects of different technologies and modeling society’s use of materials. IndEcol combines world-class competence in Life Cycle Assessment (LCA), Input-Output analysis (I/O), and Material Flow Analysis (MFA) with scientists’ contribution to IPCC and IPBES assessment reports, the International Resource Panel, active participation to the Life-Cycle Initiative hosted by UN Environment, and numerous publications featured in high-ranked journals. IndEcol hosts its own International MSc program and contributes to NTNU’s engineering education. The research team consisting of eight faculty members, the Industrial Ecology Digital Laboratory, and about 70 researchers, post doctors and PhD students. More information can be found at https://www.ntnu.edu/indecol
Your immediate leader will be Professor Francesca Verones.
About the project
Life Cycle Impact Assessment (LCIA) has seen a tremendous development in the last decades, both in terms of impact coverage and model complexity. However, there are still some impacts that remain uncovered and details to existing impact categories can be continuously added. This PhD position aims to investigate a new impact pathway that is so far uncovered, namely the impact of particulate matter emissions on (plant and/or animal) species diversity.
In addition, insects, even though tremendously important for functioning ecosystems, are so far not included in existing impact categories. This project aims to include insects into one or several of the existing and relevant impact categories, such as land occupation or climate change.
Duties of the position
- Complete the doctoral education until obtaining a doctorate
- Carry out research of good quality within the framework described above
- At least 3 academic publications, and popular science dissemination related to the research topics described above
- Participate actively in the LCIA research group, as well as in the larger Industrial Ecology Programme
- Participate in international activities such as conferences and/or research stays at foreign educational institutions
- Teaching assistant for 25% over the duration of four years. Exact courses are to be discussed, but can include TEP4220 and TEP4223
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have a relevant Master's degree in ecology, industrial ecology, environmental engineering, biology 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 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 faculty's Doctoral Programme
- Motivation to get proficient in Python
- Interest in sustainability science and strong incentive to learn Industrial Ecology methods, especially LCA analysis.
- Proven analytical and computational capabilities, in courses and or/thesis deliverables
- Proven written and oral English communication skills
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
- Completed courses in life cycle assessment and life cycle impact assessment
- Experience in geographical information systems (e.g., ArcGIS, QGIS or within Python, R)
- Documented competence in using the Python scientific computing stack (Numpy, Pandas, Jupyter Notebooks) or of another programming language used for environmental data analysis
- Experience as student assistant or tutor
- Experience with data visualization
- Good oral and written presentation skills in Norwegian/Scandinavian equivalent level
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- Self-motivated, enthusiastic, and dedicated
- Motivated to solve environmental problems and advance sustainability
- Ambitious and goal-oriented
- Team player
- Excellent communication skills
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
- 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.
The Department of Energy and Process Engineering (EPT) has established EPT Women in Science. The group is focused on supporting female Research Assistants, PhD Candidates, Postdoctoral Fellows and permanent academic employees within the Department. This support aims to help develop the academic careers of female employees, and is also made visible to our student body, to encourage them to consider an academic path. As part of the EPT Women in Science initiative we continue to build on our international network, inviting prominent female academics withinand beyond the field of Engineering to speak at our events.
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 in addition to 1 year of career promotion work (teaching duties).
For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout 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). 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.
About the application
The attachments 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.
- 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 Francesca Verones, e-mail: francesca.verones@ntnu.no.
If you have any questions about the recruitment process, please contact HR Consultant Martha Aftret Karlsvik, e-mail: hr@ept.ntnu.no.
Application deadline: 01.08.2025
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is located on the Trondheim Fjord in mid-Norway. It is a modern Scandinavian city with a unique cultural scene. Trondheim has a growing and increasingly diverse population, currently of around 200 000, and is known as the tech capital of Norway. The Norwegian welfare state, including healthcare, schools and kindergartens, is among the best of its kind in the world. Professional, subsidized wrap-around care for school children in grades 1-4 is easily available. There are two International Schools, and the public school system offers language support to international children whose families have relocated to Trondheim. Trondheim has low crime rates, clean air and water, and offers great opportunities for enjoying nature and culture.
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 Energy and Process Engineering
We conduct research and teaching covering the entire energy chain, from resources to the end-user. We look at how energy is produced and used by humans and machines in a sustainable way with regard to health, climate change and the resource base. The Department of Energy and Process Engineering is one of eight departments in the Faculty of Engineering.