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.