PhD position / Research Assistant (f / m / d) Numerical development of mitigation strategies fo[...]

Carl von Ossietzky Universität Oldenburg; Oldenburg; Vor Ort; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

An innovative research group is seeking a PhD candidate to explore numerical development of mitigation strategies for wind farm cluster wakes. This role involves performing atmospheric large-eddy simulations and collaborating with experts in the field. You will gain access to advanced high-performance computing resources and satellite data, contributing to cutting-edge research in renewable energy. The position offers a supportive environment for your academic career, with opportunities for international collaboration and structured PhD supervision. Join a dynamic team dedicated to enhancing the efficiency of wind energy systems.

Leistungen

Flexible work options

Family-friendly environment

Support for PhD pathway

Access to high-performance computing resources

Qualifikationen

• Master's degree in related fields required.
• Strong knowledge of numerical fluid dynamics is essential.

Aufgaben

• Performing large-eddy simulations of wind farm clusters.
• Testing control strategies to mitigate wind farm wakes.

Kenntnisse

Numerical Fluid Dynamics

MATLAB

Python

Atmospheric Sciences

Ausbildung

Master's Degree in Physics

Master's Degree in Meteorology

Master's Degree in Mechanical Engineering

Master's Degree in Renewable Energy

Tools

High Performance Computing (HPC)

Jobbeschreibung

ForWind - Center for Wind Energy Research has a vacancy in the team Energy Meteorology of the research group "Wind Energy Systems" at the Institute of Physics of the University of Oldenburg for a

PhD position / Research Assistant (f / m / d) in numerical development of mitigation strategies for wind farm cluster wakes (E13 TV-L, 75%).

The future energy system will rely on large wind farm clusters with hundreds of turbines. The wake, i.e., the downstream flow, of such clusters reduces the energy yield of neighboring wind farms. Therefore, we seek a candidate to model cluster wakes using High Performance Computing (HPC) and to develop and test strategies to mitigate their impact.

Job description: The main objective of your PhD project is to improve understanding of wind farm cluster wakes and develop mitigation strategies, primarily through atmospheric large-eddy simulations (LES), which are increasingly used in the wind industry.

Your tasks will include:

1. Performing LES of selected wind farm clusters and comparing results with satellite and operational data.
2. Testing different control strategies to mitigate wind farm cluster wakes.
3. Conducting LES for clusters with various turbine technologies and innovative control concepts.
4. Collaborating with scientists and engineers on measurements, operational data, and modeling.
5. Presenting results at meetings and conferences.

The research takes place within a joint project involving three research institutes and a major wind farm operator. You will have access to satellite data, measurement data, and our high-performance computing resources. The team has over two decades of experience in numerical fluid dynamics and atmospheric flow simulations using the PALM LES model.

Offer: We provide an environment to develop your scientific career in a dynamic academic setting. You will work in the WindLab, with flexible and mobile work options. The PhD pathway is supported through multidisciplinary collaboration, international partnerships, potential secondments, training programs, and opportunities to present at international venues. Supervision of your PhD will be structured.

The position is initially limited to three years, with the possibility of extension to four years for PhD completion. Salary is based on TV-LE13, 75% position.

Candidate requirements:

• A master's degree in physics, physical sciences, meteorology, mechanical engineering, renewable energy (major in wind energy), or similar field.
• Motivation to pursue a PhD.
• Strong knowledge of numerical fluid dynamics in atmospheric sciences or aerodynamics.
• Proficiency in MATLAB or Python.

Preferred but not mandatory qualifications:

• Knowledge of atmospheric physics, experimental or numerical.
• Experience analyzing large datasets on HPC clusters.
• Experience with atmospheric LES.
• International experience during studies or employment.

Oldenburg University encourages women to apply and offers a family-friendly environment, including a family service center and children's daycare. Severely disabled applicants will be given preference if qualified.

For inquiries, contact Dr. Gerald Steinfeld at +49(0)441 / 798-5073 or via email.