Student with Master Thesis (optional) Floating Offshore Wind Turbine Mooring Line Model Validation

Fraunhofer-Gesellschaft; Deutschland; Hybrid; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A leading research institute in renewable energy is seeking a Master's student to support research in mooring systems for floating offshore wind turbines. The role involves conducting literature reviews, performing simulations, and developing models. Ideal candidates have solid Python skills and some experience in wind energy. Opportunities for internships and flexible work arrangements are available.

Leistungen

Flexible scheduling

Remote work opportunities

Internship or thesis topics available

Qualifikationen

• Master's student in a relevant engineering field.
• Experience in systems engineering and knowledge of wind energy.
• Solid skills in Python programming.

Aufgaben

• Conduct literature reviews for mooring systems research.
• Perform simulations using aero-servo-hydroelastic tools.
• Analyze results and improve modeling techniques.
• Develop novel mooring system models.

Kenntnisse

Python skills

Knowledge of wind energy

Systems engineering experience

Knowledge of Modelica

Ausbildung

Master's degree in Mechanical, Wind, or Naval Engineering

Jobbeschreibung

Overview

At the Fraunhofer Institute for Wind Energy Systems IWES, the energy transition becomes a reality every day. We focus on offshore wind energy, hydrogen, test infrastructure and digitization. With more than 400 employees, including around 100 students, from over 50 countries, we work at nine locations in scientific and non-scientific teams to develop methods that accelerate wind energy and hydrogen economy expansion, minimize risks, and increase cost efficiency.

This team needs your support. You will be part of the group "Global Turbine Dynamics" at our site in Bremerhaven. The team currently consists of five employees and several students. We conduct research in aero-servo-hydroelastic simulations of wind turbines, focusing on improving simulation and validation methods for onshore, offshore and floating wind turbines. We value open exchange in German or English and respectful cooperation.

What you will do

• Support mooring systems research for floating offshore wind turbines by conducting a literature review of state-of-the-art methods for mooring line and hydrodynamic load modeling.
• Perform simulations using tools such as IWES\'s in-house aero-servo-hydroelastic tool MoWiT.
• Compare and analyze results and contribute to improving the dynamic mooring line and hydrodynamic load model in MoWiT.
• Develop novel mooring system models, such as a single point mooring line (SPM) model.

What you bring to the table

What is your background?

• Master's student in Mechanical, Wind, or Naval Engineering (or related field).
• Some experience in systems engineering and knowledge of wind energy.
• Solid Python skills; knowledge of Modelica and offshore structures/mooring systems is a plus.

What you can expect

What we can offer you

• Opportunities to join as a student (internship, student assistant, or thesis topics).
• Flexibility in scheduling and, where appropriate, remote work with agreement from colleagues.

How to learn more

Interested? Visit our career website for more information about IWES, our research areas, and colleagues: https://s.fhg.de/5ei

EEO and employment terms

We value the diversity of our employees and welcome applications regardless of age, gender, nationality, ethnicity, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in case of equal suitability. The standard contract duration is 1 year; individual agreements are possible. Working time is up to 80 hours per month. Remuneration is according to the general works agreement for employing assistant staff.

Contact and application

Interested? Apply online now. If you have questions, please contact:

People & Development
E-mail: [e-mail]
Phone: [phone]

Only online applications via the portal can be considered. Please note that we observe the provisions of the General Data Protection Regulation when processing applications.

Organization

Fraunhofer Institute for Wind Energy Systems

www.iwes.fraunhofer.de

Requisition Number: 81393