Master thesis Student - Wind Energy Analytics

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About The Role

You will be working in a modern, international, and digitalized organisation that is driven by its purpose to safeguard life, property, and the environment.

As master thesis student (m/v/div) you will be part of our department within the Renewables service area, specialized in onshore and offshore wind projects. Your focus will be on the topic of your master thesis, which will be discussed beforehand with our Senior Engineer(s), Analytics & Engineering Netherlands & Germany. A supervisor will be assigned to whom you will also report to.

Your Key Activities Will Be

• Working on your master thesis.
  
  

And you can do that working from our Oldenburg or Hamburg office.

Further, There Are Opportunities To

• Supporting the department in daily business, e.g. site visits, supporting in various steps of energy yield assessments.
• Automation of data analysis related tasks in the field of meteorology and wind farm production.
• Working on service development improvements.
• The position is available in our offices in Oldenburg and Hamburg.
  
  

Depending on your availability throughout your master thesis work.

Availability: full time work week, which is 39 hours.

What we offer

• Professional work environment in the world's largest renewables consultancy company.
• An international, technology-oriented, and open company culture with flat hierarchies.
• Flexible working hours.
  
  

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

About You

The successful candidate will have:

• Suitable research topic that supports DNV’s work, or
• Open for any topic that DNV provides
  
  

Other Useful Qualifications Are

• Good knowledge of programming and data analysis tools (e.g. Excel, Power BI).
• Programming skills in Python.
• Fluent English & German.
• Valid driver’s license.
• Attention to details.
• Good technical understanding.
  
  

Personal Qualities

• Is capable of working independently as well as a part of a team.
• Brings a proactive and hands-on approach.
• Is reliable and organized.
  
  

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.