Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern
Europe. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2,000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology, industry and sustainability and collaborates with industry in R+D+I activities and projects, offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors, accelerating innovation, reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I, has 230 patents and 10 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid, Malaga and Chile.
The Applied Artificial Intelligence Unit of Eurecat develops innovative solutions (algorithms, methods, platforms) based on a combination of artificial intelligence and knowledge management technologies, especially for the industrial, energy and sustainability sectors.
In partnership with the Universitat Autònoma de Barcelona (UAB), AAI seeks a candidate to carry out a PhD project framed in the XL-Connect Horizon Europe Project. This European consortium aims to optimize the charging chain of battery-powered electric vehicles (from energy provision to the end user) to create a clear benefit for all stakeholders.
The PhD, framed on the Vicente Lopez scholarship, will be supervised by Professor Xavier Alvarez in the UAB and tutored by PhD Pol Torres in Eurecat. As part of the European consortium, the candidate could stay up to six months in Austria (AIT Austrian Institute of Technology GMBH) or Germany (Rheinisch-Westfaelische Technische Hochschule Aachen).
Functions and Responsabilities
The PhD will be focused on the vehicle/grid interaction. Statistical and AI models and the optimization strategy for the entire charging chain will be developed. The main contribution of the PhD student to the project will be:
Studies and Knowledge:
Soft Skills:
Languages: