Student Assistant (m/f/d)
Student Assistant (m/f/d)
Student Assistant (m/f/d)
Student Assistant (m/f/d)
Ørsted Deutschland
Energie, Wasser, Umwelt
Norddeich
- Art der Anstellung: Teilzeit
- Vor Ort
Student Assistant (m/f/d)
Über diesen Job
Student Assistant (m/f/d)
Imagine a future where your research shapes the next generation of offshore wind farm maintenance
Application deadline
02.11.2025 , 23:59 CET
Office-based
We offer a workplace culture where you’ll be working from the office every work day.
Working hours
Employment type
Student
Legal entity
Orsted Germany GmbH
Why join?
Competitive renumeration package
Company pension
Flexible working for most office-based positions
Subsidies for fitness club membership and public transport
Join us in this role where you’ll complete a Master’s thesis on Optimised Long-Term Planning for Offshore Wind Farm Maintenance, based on a self-developed simulation model. You’ll contribute to developing innovative maintenance strategies and simulation tools that support operational excellence across our offshore wind assets. Your work will directly contribute to the sustainability and reliability of renewable energy operations.
You’ll be part of HV & Transmission Operation (Germany)
Welcome to HV & Transmission Operation (Germany), where you together with your colleagues will collaborate on pioneering solutions for offshore wind maintenance. Our team combines technical expertise and a passion for renewable energy to deliver outstanding results.
As a team, we foster a supportive, open, and solution-oriented culture, where everyone’s ideas are valued and collaboration is at the heart of what we do.
You’ll play an important role in
- generating a simulation model for annual maintenance and troubleshooting for all assets in our Hub in Norrdeich
- developing metrics to compare scenarios in terms of cost, efficiency, effectiveness, and resource utilisation of maintenance activities
- identifying requirements for a five-year maintenance plan to serve as the base scenario for the simulation model
- producing generalised maintenance strategies, including parametric versions
- optimising parameters of maintenance strategies and identify optimal or pareto-optimal strategies based on developed metrics
- developing documentation and training materials for the model.
To succeed in the role, you
- hold a completed degree within engineering or related
- have advanced skills in at least one of the following tools: Primavera P6, Matlab, or equivalent
- bring experience in the offshore wind industry, maintenance, or service planning, or equivalent experience (optional)
- have experience with the development of simulation models, or equivalent experience
- are able to meet competence requirements within the given timeframe as outlined in the relevant competence framework.
Please note that you will be working from our office in Norddeich, Germany. This is a part-time position, offering 20 hours of work per week, providing flexibility to support your academic commitments.
Maybe you’ve read the above and can see you have some transferable skills, even though they don’t quite match all the points. If you think you can bring something to the team, we still encourage you to apply.
Shape the future with us
Send your application to us as soon as possible. We’ll be conducting interviews on a continuous basis and reserve the right to take down the advert when we’ve found the right candidate.
As an applicant or employee, you may request reasonable work and position accommodation or adjustments via accommodation@orsted.com.
Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.