Postdoc in wind and solar generation forecasting - DTU Wind

We seek an enthusiastic and engaged postdoc willing to be part of a world-leading research environment and contribute to developing wind, solar generation and electricity price forecasting. You will get the opportunity to participate and influence the development of advanced forecast solutions combining weather forecasts and novel machine learning/statistical forecasting methods.

The focus areas are

• Find the best solutions to forecast hybrid power plant generation from minute-level to day-ahead, including implementation, test and validation at the DTU Risø HPP facility
• Understand and simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models
• Apply machine learning methods to forecast day-ahead and balancing market electricity prices with focus on Nordic electricity market including implementation, test and validation at the DTU Risø HPP facility (possibly in a GPU computing infrastructure) 
• Aid the implementation of IEA Wind Task 51 Forecasting, the largest global discussion group on renewables forecast production and usage

The Division for Wind Energy Systems at the Department of Wind and Energy Systems provides cutting-edge research in sustainable, reliable and cost-efficient energy systems to the benefit of society. At the Department, you will enjoy the advantages of a creative and inspiring work environment shared with about 400 highly skilled and motivated colleagues, with interdisciplinary backgrounds from meteorology, electrical and control engineering and data science all the way to humanities.

Responsibilities and qualifications
You will be part of a dynamic work environment with a pleasant team atmosphere, where you will have the opportunity to grow and develop your academic, industrial, and personal skills. Besides cutting-edge research, postdocs are given the opportunity to coordinate work in national and international research projects, collaborate with industry, write research proposals, teach courses, and co-supervise PhD and MSc students, which allows them to develop necessary skills for the next stages of their career.

As a postdoc, you are expected to carry out high-quality research on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid power plants and plan large-scale power and energy systems. You are expected to collaborate with multiple industrial partners over multiple projects.

We are looking for a self-motivated and team-oriented person who thrives in a collaborative environment and enjoys working with complex, multi-disciplinary topics. As postdoc you are also expected to build strong collaborative links with external partners in order to strengthen the impact of our research. 

In summary, the principal duties and responsibilities of the postdoc are:

• Perform research in wind, solar generation and electricity price forecasting
• Actively engage in education – lecturing and/or supervision 
• Consolidate the research impact in collaboration with the hydrid power plant and energy system modelling groups as well as other DTU departments, industry and grid operators
• Disseminate your research in conferences and high impact journals
• Support and eventually lead in research proposal development
• Engage in supervision of Master and PhD students

As a formal qualification, you must hold a PhD degree (or equivalent) in a relevant discipline. 

Candidates with the following expertise and qualifications will be preferred:

• Educational background in machine learning, statistics, time series analysis or similar field
• Demonstrated ability to conduct outstanding research with measurable impact
• Experience with Python, especially related to machine learning and statistics
• Experience with publication of research results in conferences and journal articles
• Knowledge and background on electricity markets and/or energy systems will be considered as an advantage
• Proficiency in the English language

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. 

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years. 

The desired starting date is June 2025, but it can be changed upon mutual agreement. This is a full-time position.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Head of Section Gregor Giebel (grgi@dtu.dk) and/or Senior Researcher Matti Koivisto (mkoi@dtu.dk) or Assoc. Professor Kaushik Das (kdas@dtu.dk).

You can read more about the Department of Wind and Energy Systems at: https://wind.dtu.dk 

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Working in Denmark has a good work-life balance. Health insurance is free, the benefits for young parents are world class, and the remuneration is allowing to also use the 6 weeks of holidays.

Application procedure
Your complete online application must be submitted no later than 30 April 2025 (23:59 Danish time). 

Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. 

The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications 
• A research statement (2-3 pages) explaining your ideas and relevant literature

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

About DTU Wind and Energy Systems
DTU Wind and Energy Systems, which used to be a division of Risø National Laboratory (until 2012), has undertaken basic research, teaching and commercial activities in all aspects of wind energy since the mid-1970’s. DTU Wind and Energy Systems is now the world’s largest public research institute for wind energy, with over 400 staff members. The department is internationally recognized as being in the forefront of wind energy technology and smart energy systems research. The department has 4 divisions: i) Materials and Components for Wind Energy, ii) Wind Turbine Technology, iii) Wind Energy Systems, and iv) Power and Energy Systems. At the department, we educate and train the next generation of engineers for a sustainable energy future. We collaborate with global leaders in industry and public authorities around the world to research and develop new technologies and services to power the green transition. For more, including our recent strategy ”Gearing up for the global energy transformation”, see wind.dtu.dk. 

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.