The Basque Centre for Climate Change (BC3) is looking for candidates who can support its strategic activities related to integrated data science and collaborative, integrated modeling on the semantic web. The selected candidates will contribute to the ARIES (ARtificial Intelligence for Ecosystem Services) project powered by the k.LAB software stack, a semantic web infrastructure that uses artificial intelligence to build computational solutions to environment, policy and sustainability problems. The open source k.LAB software includes client and server components that connect data and models from distributed repositories, guided by machine reasoning over a set of shared ontologies. This technology, based on machine reasoning, machine learning, distributed computing and high-performance, multi-disciplinary and multi-paradigm system modeling, is the flagship product of the Integrated Modelling (IM) Partnership (http://www.integratedmodelling.org) which is expected to serve a growing number of worldwide users (from academia, governments, NGOs and industry) in the years to come.
Position: Modeller and remote sensing expert
A scientific/technical project officer (predoctoral) or a postdoctoral position in ecoinformatics and modelling of coupled human-environmental systems using earth observation and machine learning techniques. The candidate should have a strong background in remotely sensed data processing techniques, modelling and machine learning.