Professorship

Academics - via Jobtome - Oldenburg - 17-05-2020 zur Vakanz  

neues Angebot (17/05/2020)

stellenbeschreibung

Job Description The Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI), and the University of Oldenburg jointly founded the Helmholtz Institute for Functional Marine Biodiversity (HIFMB) in Oldenburg. For the establishment of HIFMB, we invite applications for a joint W3 professor position in Ecosystem Data Science HIFMB develops the scientific basis for marine conservation and marine ecosystem management by analysing the functional role of biodiversity in marine ecosystem and understanding the general principles constraining this role. The Institute thereby establishes the necessary knowledge and tools to predict future changes in biodiversity and ecosystem function and to analyse their consequences for human well-being. The development of HIFMB is embedded in the existing research excellence of AWI and University of Oldenburg in marine biodiversity research, comprising research groups at the Institute for Chemistry and Biology of the Marine Environment at University of Oldenburg and the Biosciences at AWI. HIFMB offers a rich intellectual environment and excellent research opportunities ( www. Hifmb.De ). Specifically, each professorship will be equipped with allocated scientific personnel and be further able to apply for internal resources for cross-disciplinary projects. The region around Bremen and Oldenburg hosts more than 1000 marine scientists, offering broad interdisciplinary collaboration potential across universities and research institutions. The Professor in Ecosystem Data Science is expected to transform the areas of biodiversity assessment and ecosystem functions with internationally renowned expertise in data sciences. The understanding of marine biodiversity and its trends relies on a limited set of long-term data which need to be enriched to assess the role of biodiversity in complex interaction and ecosystem functions, under different climate and land use scenarios, as well as with socioeconomical trends. Recent years have seen a rapid increase in the amount and complexity of data generated in these fields. The position thereby is fundamental to the development of HIFMB and includes strong interactions to the existing expertise in AWI and University of Oldenburg. We expect candidates to develop new tools and pathways combining and integrating observation, experimental and modeling-related data to allow understanding of biotic and abiotic processes in marine ecosystems and interaction networks. The successful candidate needs excellent competence and experience in high-dimensional, multidisciplinary and complex data analysis including the development of bioinformatics tools, data integration, and visualization. For this, experience in data management, data analysis, statistics and experience with different data types from molecular data [(meta-)omics] to spatially and temporally resolved observations - for example by remote sensing or geographical information - is necessary. We further expect a distinct interest in bringing this research topic into an interdisciplinary research agenda and to communicate concepts for data integration with empirical and theoretical researchers, also outside the natural sciences. Candidates are expected to represent the subject Ecosystem Data Science in teaching at graduate and undergraduate levels (2 weekly hours). Given the current research focus of AWI and University of Oldenburg on polar and temperate seas, research expertise in these regions is helpful. Applicants must have the necessary formal qualifications as set out in § 25 of Niedersächsisches Hochschulgesetz. Candidates are required to hold an excellent PhD in bioinformatics or a related field and additional research and teaching qualification at university level proven by a pertinent habilitation, assistant professorship or an equivalent scientific track record in ecosystem data science, including publications in leading international peer-reviewed journals, integration in the international research community and professional work experience abroad. Applicants are requested to show their ability and willingness to participate in integrative and interdisciplinary research projects. They need to have experience and potential in the acquisition of third party funded projects. Distinct teaching experience and didactic abilities have to be shown. Proficiency in English is mandatory. We expect the successful candidate to acquire German within two years. International applications are explicitly welcome. To increase the proportion of women in science, equally qualified female candidates will be given preference. Applicants with disabilities will be preferentially considered in case of equal qualification. The position is suitable for part-time employment. Applications, including curriculum vitae, qualifying documentation (final academic records, list of publications, evidence of external funding, teaching experience, prizes, etc. ), a diversity statement, a research plan as well as a teaching pla

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Professorship (w3) in ecosystem data science
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