PhD Scholarship in Renewable Energy Forecasting

Updated: 5 months ago

The Department of Electrical Engineering at the Technical University of Denmark seeks a highly-talented applicant for a 3-year PhD position with focus on modern aspects of renewable energy forecasting. The PhD Student will join the Energy Analytics & Markets group, part of the Centre for Electric Power and Energy. The PhD scholarship is sponsored by DTU, though interaction is expected with a number of ongoing and future projects e.g. EU project Smart4RES.

The project seeks to develop and evaluate novel approaches to renewable energy forecasting with emphasis placed on high dimensionality (jointly considering thousands of sites), privacy-preserving distributed learning, online learning and linkage to data markets. It will build on recent research works and achievements in forecasting and markets at DTU.

The Centre for Electric Power and Energy has received increased recognition internationally for its contribution to both methodological and application-related aspects of modern power system engineering. A key area of focus is on integration of high shares of variable and partly predictable renewable power production through the design of appropriate market mechanisms allowing for efficient and reliable power system operation, while ensuring a proper redistribution of increased social welfare. The Energy Analytics & Markets group is currently involved in a number of cutting-edge projects for the design and operation of such electricity markets (e.g., the Energy Collective), for the generalization to markets for integrated energy systems (e.g., CITIES – Center for IT-Intelligent Energy Systems in Cities, SCA and EnergyLab Nordhavn), or for the proposal of new approaches to energy analytics, like learning and probabilistic forecasting in high dimensions and data markets for instance (EU project Smart4RES).

Responsibilities and tasks
The main task is to propose and analyse novel forecasting models, approaches to forecasting in high dimensions, as well as verification techniques to accommodate very high resolution forecasting contexts, as well as focus on extremely large portfolios of sites, in other order of thousands. Some of this work is to link to ongoing projects in renewable energy forecasting, also linking to the design and deployment of distributed computing and data markets.

Candidates should hold a two-year MSc (120 ECTS points) or a similar degree with an academic level equivalent to a two-year MSc. The ideal candidate has experience with energy systems, sustainable energy, optimization, statistical and machine learning, forecasting, and with an interest in programming. Preference will be given to candidates with: 

  • A relevant background in energy systems (electricity, mainly), applied mathematics statistics and forecasting
  • Relevant programming skills in e.g., R, Python and Julia
  • The ability to understand the scientific literature and implement cutting edge proposals in real-world cases
  • Innovative skills, ability to generate new ideas and to implement them in practice
  • Independent problem solving skills
  • Excellent communication and language skills
  • An all-round experience basis

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide .


The assessment of the applicants will be made by Professor Pierre Pinson.

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 appointment terms

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 3 years.

You can read more about
career paths at DTU here .

Further information
Further information may be obtained from Professor Pierre Pinson, tel.: +45 2398 3221.

You can read more about Department of Electrical Engineering on and Centre for Electric Power and Energy on .

Please submit your online application no later than 25 August 2019 (local time)

Applications must be submitted as

one PDF file

containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach

all your materials in English in one PDF file

. The file must include: 

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here )

Candidates may apply prior to obtaining their master's degree but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Electrical Engineering educates students within electrical engineering technologies. We offer studies at BEng, BSc, MSc and PhD levels, and participate in joint international programmes. We conduct state-of-the-art research within antenna and microwave technology, robot technology, power and physical electronics, acoustic environment, electro-acoustics, electric power and energy. Our department has more than 200 members of staff.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent university collaborating globally with business, industry, government and public agencies. 

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