Focus on Data Science. Our partner institutions aim at a joint Interdisciplinary Young Academy with an open call for PhD and Postdoc candidates in the interdisciplinary area of Data Science with a focus on applications in the geosciences.
We invite applications for 4 positions in Geo Data Science (3-year PhD or 2-year Postdoc positions)
Our Vision. We aim to train a new generation of young scientists with interdisciplinary skills in the intersection of mathematics, computer sciences, and geosciences. We call this intersection of the three research areas "Geo Data Science". A focus on data science methodologies that tackle geoscientific challenges is mandatory for all applicants. As a key element of this open call, each application has to include a short research proposal within this field. Regarding geoscientific applications, the call is open; regarding data science methods, we envision contributions to the fields of uncertainty quantification, mathematical multiscale analysis, predictive and explorative simulations, computational and high-dimensional statistics, data integration, data profiling, heterogeneous data sources, and machine learning. We expect candidates to describe their own interdisciplinary data science research ideas within this framework highlighting the technical innovation in mathematics and computer science and its applicability to at least one Geo.X field.
Applicants. PhD candidates should have strong skills in linear algebra, statistics, machine learning, or big data systems, proven by a MSc degree or equivalent in at least one of the following fields: Mathematics, Computer Science, (Geo-)Physics, or related fields. A clear affinity to data-driven and interdisciplinary research is mandatory. Postdocs must hold a PhD degree, possess interdisciplinary experiences (e.g. proven by previous projects) and provide a clear statement on an independent research programme. We highly encourage female candidates.
Further details:
http://www.researchgate.net