The Risk and Reliability Engineering (RRE) group, within the Institute of Energy and Process Engineering at ETH Zurich, is looking for a doctoral student working on the assessment and optimization of a future fully-renewable European energy infrastructure. The PhD position is well connected with other research projects at RRE, which deal with the assessment and optimization of a variety of energy systems and energy-carrier networks, as well as with the assessment of policy mechanisms to foster the transition to fully-renewable energy systems. The RRE group is headed by Prof. Dr. Giovanni Sansavini and generally focuses on the optimization and assessment of complex systems and infrastructures with an emphasis on safe and resilient design and operations.
The transition to a net-zero-carbon-emissions (net-zero) European energy system requires a significant increase in renewable generation capacity with respect to current values. However, where exactly all this infrastructure should be built, how it should be fostered, and how it will interact with different energy and industry sectors, is still controversial. This calls for a holistic analysis of future energy systems within the energy trilemma paradigm, where economic, environmental, and security performance must be balanced.
The goal of the project is to develop decision-making tools for supporting investment and operation decisions addressing the questions above. This will be done:
To address these points, you will have access to state-of-the-art computational capabilities, and you will be in contact with experts within ETH Zurich and worldwide.
We are looking for a proactive and highly motivated candidate, with a MSc in a quantitative discipline (such as engineering, applied physics or mathematics) from an internationally recognized University and an excellent academic track record. Ideally, you have a background in quantitative modeling, optimization, and programming (e.g., Matlab, Python, Julia, GAMS). Knowledge of mixed-integer linear programming solvers (e.g., CPLEX, Gurobi, MOSEK), of modeling environments (e.g., Yalmip, Pyomo, CVX, CVXPY) and of uncertainty quantification are a plus.
You should be able to speak and write clearly in English. Furthermore, you will need to enjoy working in a competitive, dynamic, diverse, and international environment with other doctoral students and postdocs.
We look forward to receiving your online application including the following documents:
Please note that we only accept applications which are submitted through our online application portal. We will not consider applications sent via email or postal services. Applications assessment will start immediately and will continue until the position is filled.
Further information about the Reliability and Risk Engineering Laboratory can be found on our website. Questions regarding the position should be directed by email to Prof. Dr. Giovanni Sansavini, email@example.com (no applications).
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
|Titel||PhD position: Assessment and optimization of a fully-renewable European energy infrastructure|
|Job location||Rämistrasse 101, 8006 Zurich|
|Gepubliceerd||juli 21, 2021|
|Vakgebieden||Energietechnologie,   Milieutechniek,   Veiligheidstechniek,   Toegepaste fysica,   Systeemkunde,   Duurzame Energie  |