[DMANET] PhD Student Position - Universite libre de Bruxelles, Belgium - Supporting Energy Communities - Operational Research and Energy Analytics (SEC-OREA). Deadline: April 12, 2021

Fully funded PhD position based in the Computer Science Department of Universite libre de Bruxelles, Belgium. Enquiries to bernard.fortz@ulb.ac.be .

The PhD student will work for the EU funded SEC-OREA (Supporting Energy Communities - Operational Research and Energy Analytics) project. The main tasks will be to develop efficient algorithmic techniques (decomposition and ensembling methods) to solve realistic size instances of renewable energy sources dispatching and demand side management using deterministic data. In a second step, extensions to a robust approach to address the uncertainty defined in scenarios/models provided by the other partners of the project will be studied.

SEC-OREA is funded under the EU CHIST ERA programme. It enables local energy communities (LECs) to participate in the decarbonisation of the energy sector by developing advanced efficient algorithms and analytics technologies. LECs are an efficient way to manage energy by increasing the use of renewable energy sources (RES) at a local level. We aim to co-create an overarching LEC enabling framework with our stakeholders. Our goal is to create technical tools to empower citizens and place them at the core of the Energy Union.

The consortium brings together expertise from Business, Climatology, Computational Methods, Secure ICT, and Power Systems. We reach across the EU with researchers, innovators and stakeholders in Belgium, France, Ireland, Latvia and Porugal. Strong stakeholders include a national meteorological service, municipalities and energy agencies who support the development of LECs, and a distribution system operator (DSO). PIs include Dr. Paula Carroll (UCD), Dr. Luce Brotcorne (INRIA) and Prof. Bernard Fortz (ULB).

The project is funded for 3 years, but a fourth year extension to complete the PhD thesis might be granted by the Belgian funding agency FRS-F.N.R.S.

Candidates must hold a master degree in computer sciences, mathematics, or operations research. Knowledge of optimization solvers and a strong background in programming are welcomed. Candidates should send a CV and a motivation letter to Bernard Fortz (bernard.fortz@ulb.ac.be) by April 12, 2021.
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