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DTU Tenure Track Assistant Professor or Associate Professor in Stochastic Adaptive Control in Energy Systems

Technical University of Denmark - DTU Compute

Location: Lyngby - Denmark
Salary: Not Specified
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd December 2021
Closes: 25th January 2022

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. 

Application procedure

To apply, please read the full job advertisement by clicking the above 'Apply' button  

Application deadline 25 January 2022

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