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Professorship (W2) Environmental Big Data Analytics
Eberswalde University for Sustainable Development
Applications are sought for a
Big Data Analytics
(100 %, W2)
to join the Faculty of Forest and Environmentat Eberswalde University for Sustainable
Development, Eberswalde, Germany, commencing in the winter semester 2020/21.
HNEE seeks applicants addressing current high impact topics across the spectrum of
environmental and ecological data analytics.
Future professional fields of the students are e.g. forestry, land management and
nature conservation, and they need to learn how to manage increasing and evermore
complex data in a theoretical and practical perspective.
Applicants should have expertise in the development of innovative, practical approaches
to environmental data mining, big data analysis, machine learning, and other highperformance
computing applications. Further, and in line with the guiding vision of the
Eberswalde University for Sustainable Development, they should initiate and foster a
critical reflection on the relationship between digitalization and sustainable development
in a comprehensive societal perspective.
Teaching comprises 18 SWS and strives for knowledge transfer and training of key
competences according to the principles of Education for Sustainable Development
including professional expertise and methodological knowledge as well as personal
competences. This requires (academic) teaching experiences and didactic qualification.
Candidates must demonstrate well developed academic teaching and research abilities
in data science and analytics with special expertise in applying and building high
performance algorithms, and dealing with big datasets from sensor technology using
advanced parallel computing platforms and tools in the environmental and ecological
application domains, sensor programming and autonomous environmental sensor
technology. Regarding practical application this includes multivariate statistics and
data integration of complex heterogeneous qualitative and quantitative data sets with
different frequencies (regarding time and space) and distributed on different media
(maps, reports) and IT systems (tables, data bases, GIS).
We invite individuals with a strong commitment to teaching, experimental learning
and mentorship exposing graduate and undergraduate students to the latest methods
and technological advances, with the potential for interdisciplinary course offerings at
the cutting edge of modern computer-assisted research, especially at the graduate
levels. The professor‘s work shall inspire and stimulate creative thinking to develop
practical solutions and innovative research ideas for up-to-date environmental big
The successful candidate will be expected to contribute to HNEE‘s graduate programs
(M.Sc.) ‘Forest Information Technology‘, ‘Biosphere Reserve Management‘ and
‘Regionalentwicklung und Naturschutz‘ as well as – to some minor extent – to HNEE‘s
undergraduate (B.Sc.) programs. The candidate shall strive for the funding and
recruitment of doctoral students and applied research projects. An existing network
comprising contacts to innovative research labs focusing on applied methods of
„Big Data Analytics“ or „Automated Sensor Technology“ and international research and
academic working experience in the field is an asset. Lectures are held predominantly
in English, requiring excellent command of this language, but also in German. A further
contribution to activities of HNEE academia self-governance is expected.
In accordance with section 41 of the Higher Education Act of the State of Brandenburg
(BbgHG), the successful candidate must hold a qualified Ph.D., and must have
particular achievements with regard to the application or development of scientific
finding methods in a minimum of three years of practical work, thereof two years
outside academia. The successful candidate is expected to tightly cooperate with the
professorships involved in Environmental Data Analysis and Programming, GIS and
Remote Sensing, and other professorships in the new Ph.D School.
Applications should include a curriculum vitae, a list of publications and projects, a
concept note on future research, teaching and transfer interests as well as a description
of the three most important academic achievements (max. half page each). In addition
to academic research results, these can also include special achievements in
teaching services for the academic community or society, knowledge and practice
transfer, spin-offs and the like in the topical field of Environmental Big Data Analytics.
Applications are particularly welcome from women and individuals with disabilities.
For further questions please contact Prof. Dr. Tobias Cremer (Dean) (E-Mail:
Tobias.Cremer@hnee.de or tel. +49 3334 657 166).
Please send your application by email (as one pdf-document with max. 3 MB) within
4 weeks after publication of this advertisement with all the required documents to the
following address: firstname.lastname@example.org, Hochschule für Nachhaltige Entwicklung
Eberswalde, Abteilung für Personalangelegenheiten, Schicklerstr. 5,