项目介绍
The Department of Mechanical and Industrial Engineering has a vacancy for a
PhD Candidate in Machine Learning Approaches to Conservation Condition Needs of Historic Buildings
- Site observation and data collection
- Data preparation to be used by AI, models, etc
- Methods for understanding and modelling past and future degradation of architectural heritage
- Sustainable conservation solutions to several observed problems
- Assessment of the impact of architectural conservation on the environment and of the environment (past, present and future) on architectural heritage
- Bidirectional interactions with society proposing risk management plans but also taking into account the society wills and needs
- classify building stock at district scale more prone to decay based on buildings construction year, location, main constitutive material, exposure, use and
- to predict potential maintenance and restoration priority based on (i) and existing energy retrofit directive and/or risk maps
- Take part in the mandatory PhD research education programme
- Develop a quantitative deep-learning-based framework to detect the micro-cracks and validate the developed framework
- Define micro-scale indices to evaluate crack morphological characteristics and validate developed the indices
- Classify the micro-morphologies and damages of undamage and damage materials and/or hazard prone or not buildings and landscape
- Participate in other relevant research and dissemination activities through our international collaborators
- Conduct and publish high-level research at peer-reviewed journals and international conferences
- Carry on condition monitoring campaigns and surveys in situ
- Write and defend a PhD thesis
- You must have a relevant Master’s degree in Computer Science, Physics, Mathematics, Statistics, Materials Engineering, Mechanical Engineering, Computer Engineering or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master’s level. Master students can apply, but the master’s degree must be obtained and documented before starting the position.
- You must have a strong academic background from your previous studies and have an average grade from your Master’s degree study, or equivalent education, which is equal to B or better compared to NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you maybe considered if you can document that you are particularly suitable for a PhD education.
- You must meet the requirements for admission to the faculty’s Doctoral Programme
- Excellent written and oral English
- Strong background in applying deep learning neural networks on image segmentation associated with materials and the built environment
- Excellent programming skills in Python and Matlab
- Experience in processing-imaging techniques (e.g. 3D Data Processing, point clouds, geospatial Analysis)
- Knowledge and technical skills of condition monitoring, analytical damage functions and/or analytical methods/models
- Strong interest and self-motivated attitude to explore scientific questions
- Think and work independently
- Team player with cooperative attitude
- Good communication skills
- Opportunity to carry our cutting-edge research in the area of applying machine learning technique to detection, classification and prediction of material degradation and get multidisciplinary and multisectoral training by experts and experienced supervisors from academic world
- Opportunity to publish your research findings in working team and participate the national and international conferences
- Opportunity to stay at our academic partners at FORTH Foundation for Research and Technology – Hellas in Crete (Greece), and Cergy Paris University in Paris, France.
- Opportunity to work in an international team and be part of a network of 13 PhD students
- 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)
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 580 000,- 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.
The position is conditional on external funding from Marie Sklodowska-Curie Action (MSCA) for CHARM project.
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.
- 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.
- Motivation letter justifying your interest and fit for the position
- Possibly publications etc. other relevant research work
- Possibly certificates
- Names and contact information of three relevant referees
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 Chiara Bertolin, e-mail: chiara.bertolin@ntnu.no.
If you have any questions about the recruitment process, please contact HR Senior Consultant Hedda Winnberg, e-mail: hedda.winnberg@ntnu.no.
Application deadline: 26.11.2026
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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.
via Unsplash
NTNU – knowledge for a better world
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 Mechanical and Industrial Engineering
We educate graduates who can create new products, operate and maintain products, and manage projects. The Department has a variety of bachelor’s and master’s degree programmes. We conduct wide-ranging research in fields such as technology, energy, product quality and development, and productivity. The Department of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering.
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