The Laboratoire des Sciences du Climat et de l’Environnement (LSCE) is offering a 12-month postdoctoral position for the development of new data and methods to process climate projections for the needs of the energy sector with focus on wind and solar power. The candidate will develop the data sets and methods for the Copernicus Climate Change Service (C3S) on energy [CLIM4ENERGY project].
Context: Climate-related challenges constrain a rapidly evolving energy sector. Ambitious climate change mitigation requires that low-carbon energies grow very fast in the coming decades. This rapid transition towards renewables makes the energy production, transmission and distribution increasingly sensitive to weather and climate variability. Energy producers need to anticipate resources, their variability at seasonal time scales and their trends over decades. Grid operators need to identify black-out risks, demand and supply patterns. Climate change also modulates the weather impact to energy systems. Changing precipitation patterns may affect the management of hydropower, wind and solar power resource.
LSCE leads the C3S project CLIM4ENERGY, designed to offer a number of datasets, methods and practical case studies for energy practitioners. LSCE is also in charge of designing high-quality climate projection data sets for the energy sector, and dedicated data sets and methodologies for the wind power sector. This can also be extended the solar PV production if time allows.
Start, duration and salary: The post-doctorate will be hired by CNRS for 12 months with a net monthly salary depending on the experience.
Required experience: a PhD is required, with an experience in statistical analysis and statistical theory. Ease in using UNIX, shell scripting, and other programming languages (R, Python, FORTRAN) is necessary.
Contact for applications: Applications should be sent as soon as possible and before 31 March 2017.
N. Caud, dépêche du 23/03/2017