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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.
We invite applications for a PhD position funded by NTNU and associated with the Norwegian Maritime AI Center (MAI). The position contributes to Use Case 12 (UC12): Arctic Maritime Operations and addresses a key challenge for maritime AI: supporting safe, reliable, and timely operational decisions in ice‑affected waters under high uncertainty.
The PhD will focus on the Marginal Ice Zone (MIZ), where sea ice responds rapidly to wind, waves, and currents, and where existing ice charts and satellite products are often insufficient for short‑term operational planning. The project will develop AI‑enabled and physics‑informed forecasting and decision‑support approaches by combining heterogeneous observations with physics‑based simulation tools, including operationally adapted configurations of the SAMS (Simulation of Arctic Marine Systems) framework.
Your immediate leader will be a professor.
About the project
The Marginal Ice Zone represents one of the most complex and operationally challenging environments in Arctic maritime operations. In the MIZ, wave–ice interaction, ice breakup, and subsequent compaction can rapidly alter navigability. Storm events may lead to fast shifts in the ice edge and sudden extension of the MIZ, requiring timely decisions under significant uncertainty.
While satellite observations and ice charts are essential sources of information, their temporal resolution and predictive capability are often insufficient in the MIZ. This motivates the development of short‑term forecasting and scenario‑based tools that explicitly account for fast ice dynamics and uncertainty relevant for operational planning.
The PhD addresses Arctic ice navigation as a system‑level challenge, integrating heterogeneous information from onboard sensors such as marine radar and cameras, satellite Earth‑observation products, ice charts, and metocean forecasts. The objective is to produce coherent, continuously updated representations of ice conditions that support short‑term forecasting, nowcasting, and scenario exploration for route planning and operational decision‑making.
Physics‑based simulation plays a central role in this research project by enabling propagation of ice conditions in time and exploration of physically plausible scenarios when observations are sparse or delayed. In this project, the SAMS framework will be used in an operationally oriented configuration, focusing on computationally efficient simulation of MIZ processes such as wave‑induced ice breakup and ice‑edge evolution.
These simulations will both directly inform forecasting and be used to support AI model training, validation, and interpretability, providing a physically grounded backbone for hybrid AI–physics decision‑support concepts.
AI methods will be applied to fuse heterogeneous data sources, learn fast surrogate representations of physics‑based simulations, and quantify uncertainty relevant for operational decisions. The project leverages MAI foundations for AI‑ready data, hybrid modelling, and trusted AI, while tailoring these capabilities to Arctic MIZ conditions.
The research will be guided by operationally relevant questions, such as how storms and wave forcing affect short‑term MIZ evolution; under what conditions wave–ice interaction leads to rapid ice breakup or MIZ extension; and how hybrid AI–physics approaches can support dynamic route planning with quantified uncertainty. Emphasis will be placed on time horizons from minutes to days, which are most relevant for maritime operations.
Expected outcomes include hybrid AI–physics workflows for MIZ forecasting, AI‑ready datasets derived from observations and simulations, prototype forecasting and scenario‑evaluation components, and contributions to decision‑support concepts compatible with S‑100‑based maritime information products. The work will result in scientific publications and demonstrators aligned with MAI objectives.
The PhD will be conducted in close collaboration between NTNU and the Norwegian Meteorological Institute (MET), with active involvement of interested MAI’s user partners such as Equinor and the Norwegian Coastal Administration (NCA). This ensures close alignment between research outcomes, operational needs, and regulatory frameworks.
We seek a motivated candidate with a background in engineering, ocean technology, computer science, data science, geophysics, or related discipline, and with a strong interest in AI, modelling, and Arctic maritime operations. Experience with numerical modelling, geospatial data, or machine learning is an advantage. An interest in system‑level thinking and integration of models, data, and AI methods is particularly valued.
The appointment will be carried out in accordance with the principles of the State Employees Act and applicable export control regulations governing the transfer of knowledge, technology, and services. Candidates whose background is assessed to be in conflict with these regulations cannot be employed.
Duties of the position
- Complete the doctoral education until obtaining a doctorate
- Carry out research of good quality within the framework described above, including development of models, datasets, and prototype solutions
- Academic publications and popular science dissemination
- Contribute to research group activities in the group Marine Civil Engineering
- Teaching and/or other career-enhancing work (typically corresponding to 25% of the position), to be agreed in more detail with the department
- Participate in international activities such as conferences and/or research stays at foreign educational institutions
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have a relevant Master's degree in engineering, ocean technology, computer science, data science, geophysics 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.
- 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
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
- Strong interest in AI, modelling, and Arctic maritime operations.
- Experience with numerical modelling, geospatial data, or machine learning.
- An interest in system‑level thinking and integration of models, data, and AI methods.
- Experience with high-performance computing
- Interest in interdisciplinary research
- Good oral and written presentation skills in Norwegian
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- Strong motivation for research
- Ability to work independently and collaboratively
- Show curiosity and 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 the doctoral work in addition to 1 year of career promotion work. (A minimum of three work years of the total term period must be dedicated to doctoral work.)
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). 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 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: 23.28.2026
-----------------
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 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 Department of Interdisciplinary Studies of Culture (KULT) has two vacancies for PhD research fellows in Science and Technology Studies (STS), with a focus on knowledge, expertise, valuation and feasibility in sustainability transitions. This entails a focus on decarbonization and digitalization.
As a PhD research fellow at KULT, you will become part of an active and supportive interdisciplinary research environment working on among other things technology, science, sustainability, democracy and social change. The position will be affiliated with the Centre for Technology and Society and the research group Climate, Energy and the Environment (CLEEN), one of Europe’s leading social science research groups on energy, climate and sustainability transitions.
The research fellows will join a larger project team and a cohort of PhD research fellows and postdoctoral researchers across NTNU, the Fridtjof Nansen Institute and the University of Oslo. The position offers excellent opportunities for academic development, international publication, conference participation, research collaboration and engagement with societal actors working on the green and digital transitions.
Your immediate leader will be the Head of Department.
About the project
This PhD position is part of the Research Council of Norway TOPPFORSK project FEASIBILITY: The socio-political and techno-economic craft of enabling twin transitions. TOPPFORSK is among Norway’s most prestigious funding schemes for ground-breaking research, supporting projects with the potential to advance international research frontiers.
FEASIBILITY investigates how societies make large-scale transformations towards climate neutrality and digitalization appear feasible, legitimate and actionable. The project focuses on the intersection of decarbonization and digital transitions, often referred to as the twin transitions. Across Europe, governments, industries and public institutions increasingly rely on scenarios, models, indicators, roadmaps and assessments to guide decisions about energy systems, infrastructure, industry, digital technologies and climate policy.
The project starts from the observation that such tools do not simply describe possible futures. They actively participate in shaping what is considered realistic, desirable and achievable. FEASIBILITY therefore studies how knowledge, values and governance arrangements influence which transition pathways gain credibility and political traction, and which are marginalized or dismissed.
Bringing together perspectives from Science and Technology Studies, sustainability transitions research, political science, geography and techno-economic analysis, FEASIBILITY includes comparative empirical studies across several European countries (Norway, Germany, Portugal, and the United Kingdom). The successful candidate will contribute to a growing international research frontier concerned with the role of expertise, knowledge production, valuation and future-making in societal transformations, primarily through qualitative methods.
The two positions available are:
PhD Project 1: The epistemic politics of Twin Transitions
How do societies decide which futures are possible, desirable, and achievable?
This PhD project explores the role of knowledge, expertise, and future-oriented analysis in shaping societal responses to climate change and digitalization. Governments, industries, and public institutions increasingly rely on scenarios, models, forecasts, roadmaps, and other forms of anticipatory knowledge when making decisions about energy systems, infrastructure, industrial development, and technological change.
The successful candidate will investigate how such forms of knowledge influence political and societal decision-making, and how ideas about feasible futures are produced, negotiated, and contested. The project may engage with topics such as modelling, foresight, scenarios, expertise, policy advice, innovation, or governance in the context of the twin transitions.
PhD Project 2: Valuation and Decision-Making in Twin Transitions
How do societies decide what matters in processes of transformation?
This PhD project explores how values become embedded in governance, policy, and decision-making in the context of climate and digital transitions. As societies seek to balance concerns such as competitiveness, sustainability, biodiversity, justice, security, and economic development, different actors promote different ways of evaluating progress and success.
The successful candidate will investigate how values are translated into indicators, metrics, assessments, policy frameworks, and governance practices, and how these shape societal priorities and transition pathways. The project may engage with topics such as sustainability metrics, biodiversity, justice, industrial policy, energy transitions, or emerging approaches to evaluating societal change.
Duties of the position
As a PhD research fellow, you will complete doctoral education leading to a PhD degree. This includes:
- Conducting high-quality research within the framework of the FEASIBILITY project and the selected PhD topic
- Developing and carrying out an independent research project, including data collection, analysis, and academic writing.
- Publishing and disseminating research through international peer-reviewed journals, conferences, and relevant public and policy-oriented venues.
- Participating actively in the activities of the Climate, Energy and Environment (CLEEN) research group, the Centre for Technology and Society, and the FEASIBILITY project team.
- Contributing to collaborative research activities with project partners at NTNU, the Fridtjof Nansen Institute (FNI), and the University of Oslo (UiO).
- Participating in international activities, including conferences, workshops, and research stays abroad.
- Completing the required coursework as part of the PhD programme in Interdisciplinary Studies of Culture.
Required selection criteria
- You must have a relevant Master's degree in Science and Technology Studies (STS), or from adjacent fields. Examples include Sustainability Transitions, Sociology, Political Science, Human Geography, Environmental Social Science, or Anthropology,. Your course of study must correspond to a five-year Norwegian degree programme, where 120 credits have been obtained at Master's level. The Master's degree must include an independent research project equivalent to a Master's thesis of at least 30 ECTS credits. Master's students may apply, provided that the Master's degree is completed and documented before commencement of the position.
- You must have a strong academic background from your previous studies and an average grade from your Master's degree, or equivalent education, equal to B or better according to NTNU's grading scale. Applicants without letter grades must document an equivalent academic foundation. Applicants with weaker grade backgrounds may be considered if they can demonstrate particular suitability for doctoral studies.
- You must meet the requirements for admission to the PhD programme in Interdisciplinary Studies of Culture at NTNU.
- You must have excellent oral and written communication skills in English.
- You must demonstrate a strong interest in social scientific studies of societal transformation, sustainability transitions, climate and environmental governance, digitalization, innovation, public policy, or related fields.
- You must have experience with, or a strong interest in, qualitative social science research methods.
- You must be able to work both independently and as part of an interdisciplinary research team.
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 Science and Technology Studies (STS) and related fields such as sustainability transitions research, innovation studies, valuation studies, political sociology, or environmental governance.
- Experience with qualitative research methods such as interviews, document analysis, ethnographic approaches, participant observation, or case study research.
- Demonstrated interest in one or more of the following topics: climate and energy transitions, digitalization, governance, expertise, modelling, futures, anticipation, valuation, innovation, or public policy.
- Experience working in interdisciplinary research environments or collaborating across disciplinary boundaries.
- Experience with academic writing, publication, conference presentations, or other scholarly dissemination activities.
- Good oral and written communication skills in Norwegian, Swedish, or Danish.
Personal characteristics
To complete a doctoral degree successfully, we expect that you:
- Are intellectually curious and motivated to explore complex societal challenges through independent research.
- Are able to work independently, take initiative, and drive a long-term research project forward.
- Have strong analytical skills and enjoy engaging with theoretical and conceptual questions.
- Are able to collaborate constructively with colleagues from different disciplinary backgrounds and contribute positively to a shared research environment.
- Are open to feedback and willing to develop your ideas through discussion, reflection, and collaboration.
Emphasis will be placed on personal suitability, motivation, and potential for research.
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)
- Norwegian language training at a basic level (A2)
As a PhD research fellow 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 research fellow, 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.
Employment as a PhD research fellow will give you conditional admission to the PhD programme in Interdisciplinary Studies of Culture. It is a prerequisite that the admission requirements are fulfilled 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 required attachments must accompany the application as these documents form the basis of the assessment. The documents must be in Norwegian, another 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:
- CV.
- Transcripts and diplomas for Bachelor's and Master's degrees.
- A copy of the Master's thesis. Applicants who have recently submitted their Master's thesis may attach a draft version. Documentation of a completed Master's degree must be presented before taking up the position.
- A letter of motivation (maximum 2 pages) describing:
- your academic background and research interests
- your motivation for pursuing a PhD
- your interest in the FEASIBILITY project and the selected PhD topic
- A maximum 3-page reflection note on how you would approach the proposed research project.
- Relevant publications, academic manuscripts, or other scholarly work (if applicable).
- Names and contact information for three 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 Tomas Moe Skjølsvold (tomas.skjolsvold@ntnu.no +4793634270). If you have any questions about the recruitment process, please contact HR Adviser Elisabeth Leite, e-mail: elisabeth.leite@ntnu.no.
Application deadline: 20.08.2025
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is 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 Interdisciplinary Studies of Culture
We conduct research and teaching in two subject areas: equality and diversity, and science and technology studies. The Department has an active research environment with a high proportion of external funding. The Department of Interdisciplinary Studies of Culture is one of six departments in the Faculty of Humanities.
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 Department of Geosciences (IGV) has a vacancy for a full-time 100% position as a PhD candidate within the field of Mining Engineering. The prospective candidate will be part of the Mining Engineering research group at IGV but will also collaborate with other NTNU departments and societal stakeholders.
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 and the main supervisor of the project will be Professor Hakan Basarir.
About the project
The project focuses on developing an advanced, AI-integrated methodology for adaptive underground stope dimensioning to address the limitations of traditional empirical approaches. While underground stope design is critical for safe and efficient ore extraction, it is often constrained by sparse geotechnical data. Conventional interpolation techniques frequently struggle with site-specific conditions such as structural anisotropy and in-situ stress variations leading to either overly conservative designs or unplanned dilution.
To overcome these challenges, this project will embed user-defined conditions and structural constraints directly into machine learning routines to achieve high-resolution 3D interpolation of rock mass properties. These synthesized geotechnical fields will feed into an automated stope design workflow, producing variable-length, locally adaptive geometries that optimize the balance between stability, recovery, and dilution control.
Through collaboration with national and international stakeholders, the project aims to establish a validated, data-driven design framework. Key outcomes will include an open-source Python toolkit, measurable improvements in stope performance, and practitioner guidelines for next-generation underground mine planning.
The successful candidate will become part of the newly established MIN30 initiative at the NTNU Mineral Centre, a strategic research initiative focused on securing the future supply of critical minerals through sustainable and innovative technologies. The centre covers the entire mineral value chain, including exploration and resource characterization, mineral processing and extraction, by-product utilization, recycling, metal production, and environmental aspects associated with sustainable and responsible resource development. The MIN30 initiative will recruit several PhD candidates working on both fundamental studies and industrial applications related to future mineral and mining technologies and methodologies. The candidate hired in this position will be integrated with other PhD candidates and researchers within the centre.
Duties of the position
- Conduct rock engineering and geological assessments to identify key parameters influencing stope stability and dimensioning.
- Evaluate traditional empirical design methods and quantify their limitations in heterogeneous or structurally complex rock masses.
- Collect, preprocess, and synthesize geotechnical data from diverse sources, including underground mining case studies, drill logs, structural mapping, and cavity monitoring (CMS) records.
- Develop and train user-informed machine learning models that incorporate geological/geotechnical priors to interpolate 3D rock mass properties between sparse data points.
- Architect and implement a new stope optimization algorithm that interface with interpolated geotechnical fields to generate adaptive, variable-length stope geometries.
- Calibrate and validate the developed models using real-world mine data
- Develop, document, and maintain an open-source Python toolkit for adaptive stope dimensioning and geospatial interpolation.
- Engage with industry partners, academic research groups to ensure practical relevance and facilitate technology transfer.
- Prepare technical reports, design guidelines, and high-impact peer-reviewed publications.
- Present research findings at national and international conferences, workshops, and industry stakeholder meetings.
- Complete the doctoral education until obtaining a doctorate
- Carry out research of good quality within the framework described above
Be prepared for changes to your work duties after employment.
Required selection criteria
- You must have an academically relevant background within Mining engineering, Engineering geology, Rock mechanics or rock engineer, Geotechnical engineering, Computational engineering or applied mathematics, Data science or Artificial intelligence.
- You must have a Master's degree in above listed areas or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level.
- Strong analytical and problem-solving skills with the ability to work independently and collaboratively in interdisciplinary research environments.
- 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.
- Experience with programming (ideally Python) and a foundational understanding of geostatistics or numerical modeling is considered a strong advantage.
- Good oral and written presentation skills in English.
- You must meet the requirements for admission to the Faculty of Engineering Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU
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
- Experience with numerical modelling software (e.g., FLAC3D, 3DEC, RS2/RS3, PLAXIS) and empirical underground excavation design methods.
- Understanding of geospatial variability in geological or rock mass properties, including spatial correlation, anisotropy, and heterogeneity.
- Familiarity with machine learning/AI techniques applied to geospatial or geotechnical data, including model training, validation, and uncertainty quantification.
- Proficiency in programming languages such as Python, with experience in scientific computing and ML libraries (e.g., NumPy, SciPy, PyTorch/TensorFlow, scikit-learn).
- Experience with spatial data analysis, interpolation techniques, or geostatistical concepts variography, kriging, conditional simulation) is advantageous.
- Experience handling geological, geotechnical, or mining datasets, including drill hole data, structural mapping.
- Familiarity with GIS platforms, 3D modelling software, or digital tools for spatial data visualization and analysis.
- Experience in writing technical reports, academic papers, or presenting research findings to academic and industry audiences.
- Familiarity with a Scandinavian language will be seen as an advantage.
Personal characteristics
To complete a doctoral degree (PhD), it is important that you are able to:
- Intellectual curiosity and initiative: Ability to work independently on open-ended research questions, proactively explore novel intersections of rock mechanics, spatial data science, and machine learning, and propose creative solutions to data-scarce geotechnical challenges.
- Interdisciplinary collaboration: Enjoys working in multidisciplinary teams and engaging constructively with stakeholders from academia, industry, and government. Comfortable translating technical concepts across domains (geology & engineering & data science).
- Problem-driven innovation: Creativity oriented toward practical engineering outcomes developing tools and workflows that improve safety, efficiency, or sustainability in underground operations, not just algorithmic novelty.
- Resilience in ambiguity: Comfort working with incomplete, heterogeneous, or noisy datasets; ability to make defensible engineering judgments when data is sparse and uncertainty is high.
- Ethical and open-science orientation: Commitment to reproducible research, responsible data use, and contributing to open-source tools that benefit the broader mining and geotechnical community.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience, personal suitability, and motivation in terms of the qualification requirements specified in the advertisement. We look for candidates who have experience bridging traditional engineering methods with data-driven approaches, are excited by the challenge of making reliable predictions from sparse, heterogeneous data, value both scientific publication and practical tool development, seek to contribute to safer, more sustainable underground resource extraction.
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 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 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 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 Hakan Basarir, email: hakan.basarir@ntnu.no.
If you have any questions about the recruitment process, please contact Eli Meistad, Senior Adviser HR, email: eli.meistad@ntnu.no.
Application deadline: 10.07.2026
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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 Geosciences
We conduct teaching and research related to management of Earth’s geological resources. Norway’s rich resources of wind, water, oil, gas and minerals have been and are essential to the country’s prosperity, and will continue to be in the future. The Department plays a key role in the development of technology and the education of graduates who enable value creation based on our natural resources. The Department of Geosciences is one of eight departments in the Faculty of Engineering.