PhD in Artificial Intelligence for power load and renewable energy forecasting in electricity grids
PhD in Artificial Intelligence to support Sustainable Development Goals 6 (clean water) and 7 (clean energy) as part of the Innovation Lab for Utilities on Sustainable Technology and Renewable Energy (ILUSTRE) project, funded in a public private partnership by NWO/NLAIC and private partners.
JADS is seeking an enthusiastic colleague for the position of PhD in Artificial Intelligence for power load and renewable energy forecasting in electricity grids, as part of the ILUSTRE project that focusses on use-cases in the Caribbean region.
Job description
Job Description
Short-term forecasts of (a) power load and (b) renewable energy supply, are crucial for decarbonizing electricity grids: without these forecasts, high-carbon baseload generators must be kept running. The scientific challenge is to achieve accurate and reliable forecasts, in the face of changeable energy demand patterns and external covariates (weather, public events, etc.). Deep learning has been shown to perform very well on power-load forecasting and achieves promising results in renewable-energy forecasting (Wang et al., 2019). This Ph.D. plan sets out to develop deep learning algorithms that realize forecasts that are both accurate and reliable, with the flexibility to adapt to local conditions. You will be contributing to the research conducted in ILLUSTRE by utilizing techniques such as (geometric) deep learning, and nonparametric (Gaussian process) regression.
ILUSTRE project
This position is linked to ILUSTRE, a new Innovation Center for Artificial Intelligence (ICAI) to be established in Curaçao. ILUSTRE will be a living lab in the Caribbean with the objective to develop, implement and test AI innovations that will accelerate the use of clean energy and advanced solutions in water treatment and wastewater recycling/purification. The innovation lab is one of the new ICAI labs that are part of the ROBUST program on Trustworthy AI-based Systems for Sustainable Growth which is financed under the NWO LTP funding scheme. ILUSTRE offers opportunities for PhD candidates who wish to support to the acceleration of the energy transition and who have an affinity with the Dutch Caribbean islands.
Job Requirements
Job description
Please find the full job desciption on the website of TiU
Information and application
Application can only be done through the online portal of TiU (see button below). Applications via regular email will not be taken into consideration.
Do you want to do cool stuff that matters?
We do cool stuff that matters, with data. The Jheronimus Academy of Data Science (JADS) is a unique cooperation between Eindhoven University of Technology (TU/e) and Tilburg University (TiU). At JADS, we believe that data science can provide answers to society’s complex issues. We provide innovative educational programs, data science research, and support for business and society. With a team of lecturers, students, scientists and entrepreneurs – from a wide range of sectors and disciplines – we work on creating impact with data science. We do this by connecting people, sectors and industries: in the past 5 years we have been working with 300+ organizations on data-related projects. Our main drivers? Doing cool stuff that matters with data. Our location at the former monastery Mariënburg in Den Bosch houses a vibrant campus fully dedicated to data science.
At JADS, you work in an ambitious team of professionals to meet the challenges of tomorrow together. We do cool stuff, that matters. We provide talent opportunities for both scientific staff and support staff. JADS is a human-centered organization; we pay attention to your personal development and value a good work-life balance.