PhD Candidate in Hybrid Analysis and Modelling for Structure
About the position
This PhD project is part of the newly established FME NorthWind (Norwegian Research Centre on Wind Energy) that has as aim to bring forward outstanding research and innovation to create jobs and grow exports, and to facilitate the sustainable development of wind power. The Centre is led by SINTEF, with research partners NTNU (Norwegian University of Science and Technology), UiO (University of Oslo), NINA (The Norwegian Institute for Nature Research), and NGI (Norwegian Geotechnical Institute). The Centre involves more than 40 national and international industrial partners that, together with the research partners, comprise a world leading consortium for the development of a sustainable wind energy future.
The overall research approach for developing methodologies and knowledge is to form interdisciplinary teams that balance technology push and domain specific application pull. In particular, we consider the combined use of physics-based and data-driven models, hereafter denoted as hybrid analysis and modelling (HAM), as a science and engineering disruptor that can be exploited to achieve the goals of NorthWind.
This PhD position is part of the WP 4 Digital twin and asset management in the FME NortWind centre and will as such focus on HAM methodology to be used for structural health monitoring of wind turbine structures to enable digital twins. Key research topics are combining reduced order modelling and machine learning techniques for effective and proper accurate simulation tools for solids and structures.
We offer the opportunity to work in a very inspiring and motivating multidisciplinary research group. Thanks to our industrial collaborations, the candidate will also gain significant industrial insights through industrial collaboration. The candidate will also actively participate in symposia, workshops, and international conferences.
The position reports to Professor Trond Kvamsdal in close collaboration with Professor Adil Rasheed, Department of Engineering Cybernetics, NTNU, Professor Mats Larson, University of Umeå, and Researcher Eivind Fonn at SINTEF Digital.
Duties of the position
- The main duty of the position is to carry out research on hybrid analysis and modelling for structures
- Take part in the mandatory PhD research education program
- Conduct independent research and publish the result in recognised scientific journals
- The candidate must engage in FME NorthWind activities as required
Required selection criteria
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in Applied/Numerical Mathematics, Data Science or Physics or Engineering with a solid education in numerical methods for solving partial differential equations or equivalent education with a grade of B or better in terms of NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.
Applicants must have significant programming experience ideally in C, C++ and/or Python.
Academic results, publications, relevant specialization, work or research experience, personal qualifications, and motivation will be considered when evaluating the applicants.
Applicants must have excellent English language skills, written and spoken.
If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.
- Structured, targeted and solution-oriented
- The successful candidate will be a team player in a group with the project consortium, professors, researchers, PhDs and scientists from the industrial sector
- Self-driven with a strong ability to work independently when required
- Proven ability to work with an interdisciplinary team
- Good dissemination skills
- Personal skills like a positive and friendly attitude, and contributing to a sustainable social environment will also be valued
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 482 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The employment period is 3 years. The department might have the option to offer a 4th year with teaching duties.
Appointment to a PhD position requires that you are admitted to the PhD programme in Mathematical sciences (https://www.ntnu.edu/ie/research/phd) within three months of employment, and that you participate in an organized PhD programme during the employment period.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
The position is subject to external funding.
It is a prerequisite you can be present at and accessible to the institution on a daily basis.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
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
- CV (summarising education, positions, pedagogical experience, administrative experience and other qualifying activity).
- Copies of educational certificates, academic transcript of records and letters of recommendation. Applicants from universities outside Norway are kindly requested to send a diploma supplement (https://ec.europa.eu/education/diploma-supplement_en ) or a similar document, which describes in detail the study programme and grading system.
- Academic works - published or unpublished - that you would like to be considered in the assessment
- The English language proficiency (if any).
- Names and contact information of at least two references (name, relation to candidate, e-mail and telephone number).
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.
Incomplete applications will not be taken into consideration.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation 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.
As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
In accordance with The Public Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.
If you have any questions about the position, please contact Trond Kvamsdal (email@example.com ).
Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).
If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2021/15435 when applying.
Application deadline: 30.04.2021.
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 .
Deadline 30th April 2021
Employer NTNU - Norwegian University of Science and Technology
Place of service Trondheim