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Phd On Ai for Reliability Modelling of Power
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**Job description**:
Are you eager to contribute to innovative research at the forefront of AI in Power Electronics? Are you fascinated by the potential of AI to support Power Electronics design for reliability, and willing to take on the challenge of multidisciplinary research to advance AI methods for reliability modelling of PECs? The overarching goal of this project is to support PECs design for reliability by developing novel AI-based methods to model complex component degradation and failure interactions within PECs via interpretable and data-aware models tailored to deal with uncertainty and sparse data.
You will design and lead the research project with the guidance of the supervisory team (dr. Claudia Fecarotti, Prof. George Papafotiou and Prof. Geert-Jan van Houtum). You will publish the results in international journals and conferences to communicate with academia and other societal stakeholders.
**Academic and Research Environment**
**Job requirements**:
- A master’s degree in Electrical and Electronics Engineering, Systems Engineering, Systems and Control Engineering, (Applied) Mathematics, Engineering Mathematics, and other related fields;
- Capability and passion for working on challenging topics that have both fundamental and applied research aspects;
- Strong competence in analytical skills, mathematical skills, and quantitative modeling;
- Willingness to perform lab work;
- Strong expertise in programming, including proficiency in languages commonly used in data analysis and machine learning, such as Python;
- Excellent verbal and written communication skills to collaborate in an international setting;
- Fluent in spoken and written English (C1 level);
- Ability to work in an interdisciplinary team and collaborate with industrial partners;
- Motivated to develop your teaching skills and coach students;
**Conditions of employment**:
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
- Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
- Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the _Collective Labour Agreement_ for Dutch Universities, scale P (min. €2,872 max. €3,670).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
- An excellent technical infrastructure, on-campus children's day care and sports facilities.
- An allowance for commuting, working from home and internet costs.
**About us**
Eindhoven University of Technology is an internationally top-ranking Dutch university that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a number 1 position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
**Information**
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Are you inspired and would like to know more about working at TU/e? Please visit our career page.
**Application**
- Cover letter (2 page max) in which you describe your motivation, research vision and qualifications for the position.
- Curriculum vitae, including a list of your publications, thesis and relevant experience.
- Contact information of two references.
- Transcripts of Master’s and Bachelor’s program, including the list of courses and grades.
- Master thesis and working papers if available.
- Proof of English proficiency (C1 level or an equivalent level).