Jobbet "DTU Tenure Track Assistant Professor or Associate Professor in Stochastic Adaptive Control in Energy Systems" er udløbet.
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Imagine a future where you contribute to ensuring that state-of-the-art models, methods and tools drive and accelerate the transition to a digitalized and sustainable society. Join us in this role where you, together with the team, will lead the development and application of methods for optimization and decision-making under uncertainty with a focus on applications in integrated energy systems.

As part of DTU Compute’s strategic focus on AI-driven digitalization research for a sustainable future society, the section for Dynamical Systems at DTU Compute is looking for a talented researcher for a position as Assistant Professor or Associate Professor in Stochastic Adaptive Control with a focus on Applications to Energy Systems. As our new colleague you will be part of our team consisting of an internationally rooted large, vibrant and welcoming environment.
The university is located in the greater Copenhagen area, which is acknowledged for its excellent standards of living, childcare and welfare system.

The assistant professor position is part of DTU’s Tenure Track program. 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. We develop talent by offering a career mentor, state-of-the-art research infrastructure, and postgraduate teacher training. DTU’s Tenure Track is an appointment of at most six years, during which you will receive career support in the form of professional and personal guidance. At the end of the tenure track appointment you will be evaluated by an external assessment committee, who will assess your appointment to a permanent Associate Professorship. Read more about the DTU Tenure Track program at DTU at this homepage .

Responsibilities and qualifications
You thrive in research activities related to stochastic adaptive control and are eager to collaborate in the research concerning stochastic modelling. We look forward to involving you in projects and applications related to energy systems at the section if you set ambitious goals for your own research and have a great personal interest in delivering high-quality teaching.

Specific responsibilities and tasks will include the following:

  • You will participate in research on stochastic dynamic modelling for adaptive control with a focus on applications in energy systems.
  • You will research numerical methods for solving stochastic control problems.
  • You will engage with our team in project management activities and funding applications related to your field of research.
  • You will work in close collaboration with academic and industry partners in coordination with colleagues.

Preferably you have a background in stochastic dynamic modelling and control with experience in applications to energy systems.

More specifically, we are looking for you if you have the following qualifications:

  • Experience with mathematical modelling of stochastic and dynamic systems.
  • Experience with model-based optimal control of energy systems.
  • Preferably experience with stochastic adaptive control.
  • Preferably experience with statistics, forecasting and machine learning.
  • Preferably experience with methods and tools for symbolic frameworks for automatic differentiation and control (like CasADi).
  • Preferably experience with dissemination of projects.
  • Experience in implementing solutions in Python, R or similar.

In addition, you should enjoy working with complex topics in collaboration with you colleagues and external partners. Finally, you should be self-motivated and also inspired by working with real-life problems.

You must be responsible for teaching activities related to stochastic modelling and control and will contribute to the supervision of master and PhD students. You will be expected to learn Danish and be able to teach in Danish after 3 years. DTU can provide Danish language courses.

As formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training.

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

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The salary for the position will be determined by the applicant’s qualifications and in agreement with the relevant union. Further information on qualification requirements and job content may be found in the Ministerial Order on Job Structure for Academic Staff at Universities .

You can read more about career paths at DTU here .

Further information
Further information may be obtained from Professor Henrik Madsen, email: hmad@dtu.dk , tel.: +45 4525 3408.

You can read more about DTU Compute at www.compute.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
Please submit your online application no later than 25 January 2022 (Danish 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:

  • Application (cover letter)
  • Vision for teaching and research
  • CV including employment history, list of publications (applicants applying for the position as associate professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ )
  • Teaching portfolio including documentation of teaching experience
  • Academic Diplomas (MSc/PhD)

In the field “Please indicate which position you are applying for”, please indicate whether you are applying for the position as Associate or Assistant Professor.

You can learn more about the recruitment process here .

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.

Please write in your application that you've seen the job at Jobfinder

The Dynamical Systems Section
The section conducts fundamental, advanced, strategic and applied research in the area of dynamical systems. This involves both deterministic and stochastic systems, discrete and continuous systems, deductive and inductive model building, forecasting, optimization and control. We do research in both linear and non-linear systems modelling, forecasting and control within a range of applications. The main themes are energy, water, smart cities, medicine, and biology.

DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.

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 vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 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.