ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice.
Our team is looking for a post-doctoral researcher (1.5 year contract) to work on the development of machine learning approaches to develop data-driven predictive maintenance algorithms for the components of electric power networks. This challenging project, requiring solid analytical and machine learning skills, has the purpose of improving decision support systems for predictive-maintenance of electric power grids. It is embedded in the Swiss Competence Center for Energy Research FURIES and has high potential for transfer to power system practice.
Post-doctoral position in Data-Driven Predictive Maintenance for Power Grids
To work on this interdisciplinary project, you will be part of two research groups: the Chair of Intelligent Maintenance Systems and the Reliability and Risk Engineering Lab of ETH Zurich. You will work in a highly stimulating environment with state-of-the-art computational infrastructure. This project will provide you with unique opportunities to develop a strong interdisciplinary portfolio in both machine learning and electric power system operations.

Your major objectives
will be to develop predictive maintenance algorithms for power systems components and to evaluate the impact of the predicted failure and degradation behavior of single components on the quantification of the cascading outage risk. The results of your work will be experimentally validated using condition monitoring data of field equipment.
To meet the requirements you should hold a PhD degree in a field related to predictive maintenance / machine and deep learning / electric power systems / signal processing and have experience in deep learning applications. Preferably, you have gained some experience in maintenance and degradation modelling, optimization/decision-making and basic knowledge of electric power systems.
We are looking for a highly motivated candidate with excellent programming skills (preferably Python). The successful candidate has strong analytical skills, is proactive, self-driven, with strong problem solving abilities and out-of-the-box thinking. Professional command of English (both written and spoken) is mandatory. You enjoy working in an interactive international environment with doctoral students and other post-docs, referring continuously to practical problems and solutions and collaborating with industrial project partners.
A competitive salary as well as attractive working conditions will be offered according to ETH standards. Evaluation of candidates will begin immediately and continue until the opening is filled.
We look forward to receiving your online application including a letter of motivation, CV, a brief statement of research interests (1 page), transcripts of all obtained degrees (in English), one publication (the one that you consider being most relevant to the position that you are applying for), and names of two referees via the following link: https://emea2.softfactors.com/job-opening/rgum-moORl4yxmRYwtk4crf#/?lang=en. Only complete applications containing all the required documents will be considered. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Questions regarding
the position should be directed to Prof. Giovanni Sansavini or Prof. Olga Fink by email: sansavig@inf.ethz.ch or fink@ibi.baug.ethz.ch (no applications).