Doctoral (PhD) student in Integrated planning and operation of energy systems
Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain
In the framework of NCCR Automation, we are looking for a motivated doctoral student to investigate and develop methods which target energy system design and operation jointly. To date, the traditional methods of planning and operating energy systems have been mostly separated e.g., where planning procedures only consider an idealized operational stage and vice versa. A particular focus of our novel approach lies on investigating bi-level optimization and/or diffusing timescale methods which serve as candidates for energy system related applications. Challenges encompass - among others - harmonizing the differing design and control objectives, bridge the differing time-scales of interest and comparing and contrasting candidate approaches. We plan to utilize historical data in the Empa's NEST demonstrator and its multi-energy backbone to design and test novel electrical and thermal energy management systems. Later in the doctorate we envision real-life deployment of the resulting methods to the design of the energy system of a district in Switzerland. Your goal will be to translate your own research ideas to tackle these challenges, in close collaboration with our interdisciplinary team and external scientific and industry partners. As part of this process, you will support our master students, publish in scientific journals, and participate in conferences. Your profile
You are a highly motivated and dedicated candidate with an MSc degree in Energy, Mechanical, or Electrical engineering (or related field). You have an active interest in the on-going energy transition and in developing automation solutions to help make it a reality. Strong programming, modelling and data analysis skills in Python support you in contributing to our ongoing software development efforts. Your spoken and written English skills help you navigate our international environment.
In the framework of NCCR Automation, we are looking for a motivated doctoral student to investigate and develop methods which target energy system design and operation jointly. To date, the traditional methods of planning and operating energy systems have been mostly separated e.g., where planning procedures only consider an idealized operational stage and vice versa. A particular focus of our novel approach lies on investigating bi-level optimization and/or diffusing timescale methods which serve as candidates for energy system related applications. Challenges encompass - among others - harmonizing the differing design and control objectives, bridge the differing time-scales of interest and comparing and contrasting candidate approaches. We plan to utilize historical data in the Empa's NEST demonstrator and its multi-energy backbone to design and test novel electrical and thermal energy management systems. Later in the doctorate we envision real-life deployment of the resulting methods to the design of the energy system of a district in Switzerland. Your goal will be to translate your own research ideas to tackle these challenges, in close collaboration with our interdisciplinary team and external scientific and industry partners. As part of this process, you will support our master students, publish in scientific journals, and participate in conferences. Your profile
You are a highly motivated and dedicated candidate with an MSc degree in Energy, Mechanical, or Electrical engineering (or related field). You have an active interest in the on-going energy transition and in developing automation solutions to help make it a reality. Strong programming, modelling and data analysis skills in Python support you in contributing to our ongoing software development efforts. Your spoken and written English skills help you navigate our international environment.
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