DTU Tenure Track Assistant Professor in Decision Analytics for Wind Energy Operations - DTU Wind

Would you like to shape the next generation of decision-support methods that help wind energy deliver reliable, cost-effective power in an increasingly complex energy system? At DTU Wind and Energy Systems, we study how wind assets interact with electricity markets, grid constraints, and policy frameworks-and how better operational decisions under uncertainty can increase long-term value and security of supply. We invite applications for a DTU Tenure Track Assistant Professor position focused on decision analytics and integrated operational strategies for wind energy assets in coupled systems.

We offer a stimulating role in an international, interdisciplinary environment with strong links to industry and public stakeholders. You will join a research team working at the intersection of wind energy engineering, reliability and risk, and decision science, with opportunities to build your own research agenda and teaching profile.

Responsibilities
Wind energy assets now operate inside tightly coupled technical, economic, and regulatory systems. In this position, you will develop and evaluate decision-support approaches that connect asset physics and reliability with market signals, grid constraints, and evolving policy conditions. Your research will be framed as decision problems spanning multiple time horizons-from operational control and maintenance planning to lifetime extension and long-term planning-under both aleatory and epistemic uncertainty.

You will contribute to our research by focusing on topics such as:

• Decision analysis for wind energy operations under uncertainty, including the interaction between assets, markets, grids, and policy constraints
• Stochastic optimisation and dynamic decision models for operational strategies (e.g., maintenance planning, market participation, control strategies, lifetime extension)
• Risk, uncertainty quantification, and value-of-information perspectives for operational decision making
• System representations (e.g., structured model interfaces/ontologies) that make decision variables, causal pathways, assumptions, and uncertainty explicit, enabling consistent coupling of engineering and techno-economic models
• Data-driven and physics-informed models simulating system behaviour and providing decision-relevant insights
• Translating methods into decision-support prototypes and case studies in collaboration with academic and industrial partners

Your primary responsibilities will include:

• Establishing an independent research direction within decision analytics for wind energy operations in coupled systems
• Publishing in high-impact journals and conferences and contributing to open, reproducible research outputs where relevant
• Contributing to research-driven software development by integrating own research in new tools
• Developing external funding proposals (national, EU, and industry) and contributing to large collaborative projects
• Teaching and course development at BSc/MSc level, and contributing to DTU’s pedagogical environment (including supervision of MSc and PhD students)
• Strengthening collaboration across DTU Wind sections/divisions and with industry, TSOs/DSOs, and other stakeholders when relevant
• Contributing to the scientific community and department activities (seminars, peer review, committees as appropriate)

Qualifications
The following qualifications are relevant to this post:

• Educational background: PhD (or equivalent) in wind/energy engineering, industrial/operations research, applied mathematics, electrical/power systems, or a closely related field, with a clear research focus relevant to energy-system decision making
• Decision-theoretic methods: Demonstrated ability with methods such as stochastic optimisation, probabilistic reasoning, Bayesian/statistical modelling, dynamic decision models (e.g., MDP/POMDP-style thinking), or robust optimisation
• Uncertainty and risk: Strong understanding of uncertainty quantification, risk metrics, and decision-making under uncertainty in engineering or energy applications
• Computational skills: Strong scientific programming skills (e.g., Python/Julia/MATLAB) and experience implementing modelling/optimisation workflows with high standards for reproducibility
• Research track record: Publications commensurate with career stage and the ability to formulate and execute an independent research agenda
• Teaching potential: Ability and motivation to teach, supervise, and contribute to course development (pedagogical training can be supported at DTU)
• Wind-energy operations insight: Experience with wind farm operation/maintenance, lifetime extension, asset management, or operational modelling connected to real constraints and data
• Markets and grids: Familiarity with electricity market design, grid constraints, ancillary services, or system operation planning relevant to wind integration
• Model coupling and representation: Experience with model integration, structured system representations, digital-twin concepts, or ontology/knowledge-graph-inspired approaches (not required, but beneficial)
• Funding and leadership: Experience contributing to competitive research proposals, mentoring students, and collaborating in interdisciplinary or international settings
• Industry/policy collaboration: Experience with stakeholders (industry, grid operators, regulators) and an interest in societal impact pathways

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

You will be assessed against the responsibilities and qualifications stated above and the following general criteria:

• Experience and quality of teaching 
• Research experience 
• Research vision and potential
• International impact and experience 
• Societal impact
• Innovativeness, including commercialization and collaboration with industry
• Leadership, collaboration, and interdisciplinary skills
• Communication skills

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.

Starting date is As soon as possible and according to mutual agreement, 

The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here.

You can read more about career paths at DTU here.

Further information  
Further information may be obtained from Professor Athanasios Kolios, Head of Section, atko@dtu.dk.

You can read more about DTU Wind and Energy Systems at www.windenergy.dtu.dk/english  

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure 

Your complete online application must be submitted no later than 31 March 2026 (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)
• Vision for teaching and research for the tenure track period 
• CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/)
• Teaching portfolio including documentation of teaching experience 
• Academic Diplomas (MSc/PhD)

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.

DTU Wind and Energy Systems is one of the largest and most well-known university department for wind energy in the world with 400 employees. The institute is in the international driving field with a unique integration of research, education, innovation and public / private government service. DTU Wind and Energy Systems has extensive expertise in wind turbine technology, focusing on the impact of loads, structural design and reliability, aeroelastic design and materials.

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.