ERCOFTAC Current Job Listings

PhD scholarship in Multi-scale Turbulence Modeling for CFD Wake Simulations

Please submit your online application no later than 31 January 2019. Apply at 
www.career.dtu.dk

The research fields that the Aerodynamic Design (AER) section work with are aerodynamics and aeroacoustics, and the research is based on both modeling and experimental methods. On the modeling side, the fidelities range from engineering models to computationally demanding vortex-based and CFD models, facilitating Fluid-Structure-Interaction methods and multidisciplinary design. The tools and knowledge are applied in interaction with the industry in the design process for solving problems and implementing new concepts.

On the experimental side, the Poul la Cour Wind tunnel, the Research Turbine, and the Rotating Test Rig are facilities that offer invaluable feedback for improving both the computational models and implementation of new concepts and thereby boost the impact of our research.

Wakes from wind turbines can cause energy losses in wind farms, and the design of energy-efficient wind farm layouts demands accurate modeling of this variably complex effect. Fast Computational Fluid Dynamics (CFD) methods, such as Reynolds-averaged Navier-Stokes (RANS) solvers, can model wind turbine wake losses accurately if the employed turbulence model is able to handle the relevant turbulence scales. State-of-the-art RANS-based turbulence models used in wind energy applications only treat one or two turbulence scales, while wind energy fluid dynamics is a multi-scale flow problem. For wind turbine wake simulations, effects spanning a wide range of scales larger and smaller than the turbine rotor (e.g. Coriolis forces, complex terrain, and atmospheric stability) can significantly influence wake losses. Hence there is a need to develop a multi-scale turbulence model in RANS to address the collection of relevant effects.

In response to this, DTU Wind Energy is looking for a PhD candidate to engage in the development of a multi-scale turbulence model in RANS for CFD wake simulations.

Responsibilities and tasks

As a PhD candidate you will have a large role in the development of a multi-scale turbulence model in RANS for CFD wake simulations. The main part of your work includes development, implementation and validation of turbulence models. The candidate will work closely together with the participants of a parallel project where such RANS modelling is applied for wind resource assessment.

For the main position, the candidate should have a very good understanding of Computational Fluid Dynamic

The candidate should also have a strong background in applied mathematics, as well as a good foundation in programming with a focus on Python and Fortran languages. Experience with turbulence and atmospheric flows is beneficial.

If the work and qualifications outlined above sound like a good match for you, we would like to hear from you.

Qualifications

Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Candidates should have a master's degree in engineering, applied physics, or a similar degree with an academic level equivalent to the master's degree in engineering

Approval and Enrolment

The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide.

We offerDTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years

Workplace

DTU RISØ Campus, Frederiksborgvej 399, 4000 Roskilde, Denmark

You can read more about career paths at DTU here.

Further information

For further information please contact Mark Kelly (mkel@dtu.dk) or Paul van der Laan (plaa@dtu.dk)

Application

Please submit your online application no later than 31 January 2019. Apply at www.career.dtu.dk

To apply, please open the link "Apply online", fill out the online application form. The following must be attached in English:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here)

Candidates may apply prior to ob­tai­ning their master's degree but cannot begin before having received it.


All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The Department of Wind Energy is one of the world’s largest centres of wind energy research and knowledge, with a staff of more than 240 people from 37 countries working in research, innovation, research-based consulting and education. DTU Wind Energy has approximately 40 PhD students. The department’s cross-disciplinary research is organized through strategic research programmes that collaborate with Danish and international universities, research institutions and organizations, as well as the wind industry.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.