Leading Data Science Researcher for Smart Grid Optimization
Há 7 dias
Phd#5 At Mines Paris In Data Science
About the RoleWe are seeking a talented Data Science Researcher to join our team at Mines Paris - PSL, Centre PERSEE. As a researcher in this position, you will be working on optimizing flexibility services under multiple local uncertainties in the context of smart grids.
Key ResponsibilitiesAs a Data Science Researcher, your key responsibilities will include:
- Developing an approach for the optimal provision and use of flexibility at the level of a territory, which accounts for the uncertainties associated with local renewable production and local energy consumption of the potential flexible consumers.
- Defining flexibility provision indicators, based on production/consumption adequacy and contextual assessment at the level of a territory, relying on predictive methodologies to quantify the local flexibility potential.
- Producing a risk-aware analytical decision-aid methodology of flexibility valorization in multi-energy systems, employing forecasting models and optimization.
To succeed in this role, you will need to have a solid background in:
- Optimisation
- Electrical engineering
- Applied mathematics, statistics, and probabilities, data science
You should also possess excellent analytical, synthesis, innovation, and communication skills, as well as qualities of adaptability and creativity.
RequirementsThe ideal candidate will have:
- A good level of general and scientific culture
- Good programming skills (e.g., R, Python, Julia)
- A successful track record of research and development in the field of data science and smart grids
The salary for this position is approximately €35,000 per year, plus benefits including access to cutting-edge research facilities and opportunities for professional development.
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