Netherlands : PhD in Optimisation of Power Flow

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. The faculty offers an interdisciplinary setting for its 500 employees, 350 PhD students and 1700 undergraduates. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics. EEMCS: Your Connection to the Future.

At the Delft Institute of Applied Mathematics (DIAM), research is carried out into the design, analysis and simulation of mathematical models. This research is both analytical and numerical in nature, and is inspired by technical applications. The department plays an active role in translating research results into concrete practical applications. It maintains intensive contacts with other TU Delft faculties, the major technological institutes (ECN, NLR, WL, Rijkswaterstaat, MARIN, TNO) and the research laboratories of major companies. Within its own subject field the department provides teaching for the Technical Mathematics Bachelor’s programme and Applied Mathematics for the Master’s, and also contributes to the service teaching for the other TU Delft faculties. More information about the Delft Institute of Applied Mathematics can be found at http://diam.ewi.tudelft.nl.

Job description

The growing share of electricity generation from intermittent renewable energy sources as well as increasing market-based cross-border flows and related physical flows are leading to rising uncertainties in transmission network operation. In Europe, the difference between actual physical flows and market exchanges can be substantial, due to large installations of renewables such as wind and photovoltaic energy generation.
One of the goals of the UMBRELLA project is to develop optimisation algorithms for an enhanced optimal power flow (EOPF) considering uncertainties. This requires determining optimal topologies as well as set points for load flow control devices in order to minimise re-dispatch volumes while maximising possible power transports.
For this project, the "Optimisation" section of Delft Institute of Applied Mathematics, in cooperation with the "Electrical Power Systems" section of the Department of Electrical Sustainable Energy, is seeking a PhD student.

Requirements

We are looking for an enthusiastic, results-driven student with good communication skills and a keen interest in the application of mathematics, in particular mathematical optimisation, to energy networks.
The candidate should have an MSc degree in either Mathematics, Computer Science, or Econometrics, with a solid knowledge of optimisation. He/she should be fluent in spoken and written English, and be able to work smoothly and enthusiastically with a variety of experts in the fields of Mathematics and Electrical Engineering.

Conditions of employment

TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home (with a contract of two years or longer), and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

Information and application

For more information about this position, please contact Prof. Karen Aardal, e-mail: k.i.aardal@tudelft.nl or dr. Dion Gijswijt, e-mail: d.c.gijswijt@tudelft.nl; phone: +31 (0)15-2784109. To apply, please send a detailed CV, transcripts of your BSc and MSc results, a letter of application, and contact information for two references. You may e-mail your application materials by 30 June 2012 to mrs A. Hoek, HR-Adviser; hr-eemcs@tudelft.nl. Preferred starting date is September 2012.
When applying for this position, please refer to vacancy number EWI2012-06.

Further Information

Application Deadline : 30 June 2012

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