|Location:||Lyngby - Denmark|
|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:
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:
To apply, please read the full job advertisement by clicking the above 'Apply' button
Application deadline 25 January 2022
Type / Role: