Big Data within Geo.X. Geo.X is a strategic partnership of university and non-university
institutions dedicated to multi- and interdisciplinary research in the metropolitan region of Berlin and
Potsdam. Geo.X spans the whole range of geoscientific disciplines, ranging from planetary science, space-borne
Earth observing systems, through atmosphere studies, to material sciences, Earth surface dynamics and to the
deep biosphere. Geo.X consists of a variety of interesting data sources and requires novel technology development
to manage, analyze, and explore these big data resources. With this call we seek Data Scientists that can tackle
these technical challenges together with our geoscientific research.
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
(
http://www.geo-x.net/young-academy/research-areas/).
Interdisciplinary Young Academy. With our Interdisciplinary Young Academy we offer a vibrant
research environment that covers interinstitutional collaborations, interdisciplinary supervision, specialized
training courses (e.g. summer schools, workshops, and seminars organized by peers) and soft skills training.
In addition, an innovation forum will offer young scientists the opportunity to further develop their research
results, making them available to the economy, the public sector and society. Our exchange and mentoring programmes
will ease rapid integration into the international research community.
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.
The website
http://www.geo-x.net/young-academy/ provides more information on
- the scientific framework of this call
- candidate requirements and online application procedure
- payment scheme for both PhDs and PostDoc positions
Candidate evaluation will begin after the
application deadline on May 15th, 2017; with an
anticipated start of projects on October 1st, 2017. Employment will take place according to the individual
conditions of the institution (TU Berlin, FU Berlin, HU Berlin, University Potsdam) employing the selected
candidate. All institutions are equal opportunity / affirmative action employers.