Phd Student: Wind Energy, Ng/2214 - Esslingen, Deutschland - Hochschule Esslingen - University of Applied Sciences

Beschreibung

Esslingen University of Applied Sciences is looking for a
PhD Student for a research project in the field of wind energy for the faculty "
Science, Energy and Building Services " at the
city centre campus to be filled immediately.

The development of wind energy as a renewable, climate-friendly energy is advancing around the globe. More and more also hilly and mountainous as well as forested areas are being developed. Due to orography and land use, inhomogeneous wind flow and turbulence are induced. Therefore, the search for suitable sites is a challenging task requiring innovative simulation methods for the detailed description of meso
- and micro-scale flow phenomena within the atmospheric boundary layer. This is the goal of the sub-project to be elaborated and one of the key activities of the research cluster WindForS as well as part of the interdisciplinary, BMWi funded research project WINSENT. In this framework, a wind energy test site with two wind turbines and four meteorological measuring masts is built in Southern Germany in collaboration with six renowned research institutions. Additionally, various measuring campaigns are elaborated providing data for the model validation.

**Unsere Rahmenbedingungen: - Paygrade classification up to
pay group 13 TV-L
- working time up to
100 %

• The contract is initially **limited to 2,5 years

**Ihre Aufgaben: **- Development and implementation of numerical simulation models describing the fluid mechanical and thermodynamic phenomena in the atmospheric boundary layer taking orography and land use into consideration- You will be working on a publicly funded research project with the aim of submitting a PhD thesis

• Publications in journals and on scientific conferences

**Ihr Profil: **- Master's degree in engineering fields or physics- Enthusiasm for academic research in the field of wind energy- Able to work independently- Strong willingness to cooperate with other research groups in a joint project- Solid background in fluid mechanics and thermodynamics- CFD skills preferably with OpenFOAM are highly appreciated- Additional knowledge of the operating system Linux and the programming languages C or C++ is desirable- Good communication skills and fluency in both written and spoken English as well as good German language skills are expected

Please include the reference number
NG/2214 .

For further information on the position, please contact:
You can find information on the collection of personal data here:
Contact Data

Personnel Management
Annika Schimpl
Kanalstraße 33
73728 Esslingen

T: 0711/