The Cyprus Institute invites applications for a highly qualified and motivated individual to join the Institute as a Postdoctoral Research Fellow in Data-Driven Computational Science at CaStoRC. The successful candidate will conduct fundamental research in one or more of the following areas: Data mining methods, Complex network analysis, Deep learning architectures, Cross-disciplinary applications of “big data” methods in climate science, smart farming, education, health, etc. The successful candidate will also work closely with the PI in writing relevant grant proposals.

The Cyprus Institute invites applications for a highly qualified and motivated individual to join the Institute as a Postdoctoral Research Fellow in Machine Learning and Data Science for Climate Science in CaSToRC. The successful candidate will apply Machine Learning for investigating key processes of the Earth System, including (but not limited to) the following: Extreme event (weather, temperature, precipitation, etc.) risk detection, Data-driven and hybrid modeling of the Earth system, Using machine learning to develop new parameterizations for climate models, Causal inference in the context of climate change, Machine learning in support to air quality modelling for exposure mapping, super-resolution, short-term forecasts and long-term projections. The candidate will be working primarily with Prof. Constantine Dovrolis, Prof. Theo Christoudias and Prof. Johannes Lelieveld. The appointment is for a period of 2 years, with the possibility of renewal subject to performance and the availability of funds.