PhD Candidate in Early Fault Detection of Wind Turbine Critical Components
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About the position
We have a vacancy for a PhD candidate at the Department of Marine Technology NTNU for the InteDiag-WTCP project: Perception & Fusion of Multidimensional Information & Cooperative Decision-making for Intelligent Diagnosis of Wind Turbine Critical Parts.
The Department of Marine Technology (IMT) is a world leader in education, research, and innovation for engineering systems in the marine environment. We specialize in methods and techniques which facilitate the assessment, development, and sustainable operation of Norway's biggest export industries – oil and gas extraction at sea, ship technology with corresponding equipment industry, fisheries technology and aquaculture technology– as well as newer developments including offshore renewable energy (wind, wave, and current), coastal infrastructure such as floating bridges, and marine robotics for mapping and monitoring the ocean environment, including polar regions.
The InteDiag-WTCP project is a collaborative project between China and Norway. The Chinese team is led by Hunan University, in collaboration with Central South University, Hunan University of Science and Technology and two leading wind power companies XEMC WINDPOWER and GOLDWIND TECHNOLOGY. The Norwegian team is led by Norwegian University of Science and Technology , in collaboration with two monitoring and digital service companies, EDR & MEDESO AS and SAFETEC NORDIC AS. The goal is to use digital and intelligent solutions for structural health/condition monitoring to address the issues of high failure rate and high operation/maintenance cost of wind turbines.
The focus of this PhD position is to develop methods, models and tools for fault detection and diagnosis of drivetrain faults in wind turbines. Traditional fault detection/diagnosis methods with multidimensional response measurements as well as machine learning methods based on simulation or measurement data will be developed and applied. Other faults or failures in structural components of offshore wind turbine blades and foundations are also of interest. We offer the opportunity to work in a very inspired and motivated research group. Thanks to our industrial collaborations, the candidate will also gain significant industrial insights through secondment and industrial collaboration. The candidate will also actively participate in symposia, workshops and international conferences.
The position reports to Profs. Zhen Gao and Amir Nejad.
Duties of the position
- Development of early fault/failure detection methods/models (model-based or data-driven)
- Development of diagnosis models
- Model verification and validation by field measurements
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 [subject area] 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.
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.
- Good written and oral English language skills is also required. Applicants from non-English-speaking countries outside Europe must document English skills by an approved test. Approved tests are TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE).
Preferred selection criteria
- Background or interest in programming (Matlab, python, java, C/C++, …), familiar with ANSYS or Multi-body dynamic tools and good knowledge of statistics will be an advantage.
- Strong analytical skills
- Good team work skills
- Ability to take initiative and work independently
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.
- 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 479 600 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 period of employment is 3 years.
Appointment to a PhD position requires that you are admitted to the PhD programme in Engineering (https://www.ntnu.edu/studies/phiv) 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.
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.
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.
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.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
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.
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 Associate Professor Amir Nejad, e-mail Amir.Nejad@ntnu.no. If you have any questions about the recruitment process, please contact HR Consultant Marit Gjersvold, e-mail: firstname.lastname@example.org.
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 IV-103/20 when applying.
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 Marine Technology
We develop methods and technology related to the blue economy: oil and gas extraction at sea, ship technology and the equipment industry, fisheries and aquaculture. We also have a strong commitment to the development of sustainable solutions for offshore renewable energy, coastal infrastructure, and marine robotics. Marine technology helps to solve major global challenges related to the environment, climate, energy, food and efficient transport. The Department of Marine Technology is one of eight departments in the Faculty of Engineering.
Deadline: 19th April 2020
Employer: NTNU - Norwegian University of Science and echnology
Place of service: Department of Marine Technology