PhD Candidate in Digital Twins for Wind Farms

NTNU

  • Trondheim, Trøndelag
  • Midlertidlig
  • Fulltid
  • 15 dager siden
PhD Candidate in Digital Twins for Wind FarmsThe Department of Marine Technology has a vacancy for aThis is NTNUNTNU 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 processAbout the jobFor a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.We have a vacancy for a PhD Candidate within wind and digital twin areas at the .We are seeking a highly motivated PhD candidate to join our team in the project of “Digital twin for forecasting of power production to wind energy demand”. The successful candidate will work closely with a multidisciplinary team to research, develop and implement innovative solutions to accelerate the transition to renewable energy. The proposed position is linked to the project TWINVEST (Universal, open-source and cybersecure Digital Twin to provide investors in onshore wind farms valuable insights about current operations and future investments) funded under the EC’s HORIZON-CL5-2023-D3-02-14 initiative.Your immediate leaders are your supervisors and the Head of the Department.Duties of the position
  • Conduct original, cutting-edge research, including critical literature review to identify the state-of-the-art and research gaps, designing research projects and methodologies, and generating, collecting, and analysing data.
  • Work with the project partners and contribute to the development of digital twin framework and architecture for onshore wind energy.
  • Contribute to the dissemination of research in the form of scientific publications, project reports, etc.
  • Contribute to the activities of the research group in collaboration with other researchers.
  • Testing and validation via interpretation of data from laboratory-scale to full-scale.
Required selection criteria
  • You must have a professionally relevant background in applied mathematics, cybernetics, or engineering.
  • Strong knowledge in wind energy sector with wind energy domain knowledge especially in modelling, sitting, sizing and wake effect knowledge, digital twin technology with embedded decision support and optimization.
  • Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
  • You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with
. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education. * Master's students can apply, but the master's degree must be obtained and documented by 01.07.2024
  • You must meet the requirements for admission to the faculty's doctoral program (
) * Excellent English skills (both written and spoken)
  • Applicants from non-English speaking countries outside Europe must present an official language test report. The acceptable tests are TOEFL, IELTS, and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
  • TOEFL: 600 / writing 4.5 (paper-based) or 92 / writing 22 (internet-based)
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)
  • CAE/CPE: grade B or A.
The appointment is to be made in accordance with andPreferred selection criteria
  • Knowledge and experience within digital twin and modelling in wind energy areas, and optimization are favorable and should be highlighted.
  • Strong modeling skills/experience with both mathematical- and data-driven models.
  • Academic results, publications, relevant specialization, work or research experience, personal qualifications, and motivations for making an impact on future renewable energy will be considered when evaluating the applicants.
  • Documented work experience from industry (optional).
Personal characteristics
  • Be scientifically curious and open to new research challenges, including consideration of a sustainable future.
  • Demonstrate independence and persistence in addressing and solving technical problems.
  • Be flexible and reliable, with ability to work effectively independently and as part of a team.
  • Ability to travel to cooperate in industry and other research partners.
  • Open to feedback and input from others as well as able to respect, collaborate, and negotiate with others.
Emphasis will be placed on personal and interpersonal qualities.We offer
  • exciting and stimulating tasks in a strong international academic environment
  • an open and
with dedicated colleagues * favourable terms in theSalary and conditionsAs a PhD candidate (code 1017) you are normally paid from gross NOK 532 200 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 period of employment is 3 years.Appointment to a PhD position requires that you are admitted to the 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 , 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 daily.About the applicationThe application and supporting documentation to be used as the basis for the assessment must be in English.Publications and other scientific work must be attached to the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.The application must include:
  • CV and certificates
  • transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted.
  • A copy of the master's thesis. If you recently have 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 proposal
  • Name and contact information of three referees
  • If you have publications or other relevant research work
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. Description of the documentation required can be found . If you already have a statement from NOKUT, please attach this as well.We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.NTNU is committed to following evaluation criteria for research quality according toGeneral informationNTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to (tas bort hvis ikke aktuelt)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.A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with . You will be notified if the reservation is not accepted.If you have any questions about the position, please contact Dong Trong Nguyen, telephone +4791702345, email dong.t.nguyen@ntnu.no. If you have any questions about the recruitment process, please contact Marit Gjersvold, e-mail: marit.gjersvold@ntnu.no.If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.Application deadline: 12.06.2024NTNU - knowledge for a better worldNTNU - knowledge for a better worldThe Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.Department of Marine TechnologyWe 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. is one of eight departments in

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