Computer Science Postdoc position--German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
We are looking for a postdoctoral researcher in computer science to participate in an initiative to mobilize essential biodiversity data from the published literature for use in meta-analysis, biodiversity monitoring and evaluation, and the eventual development of a data sharing platform for the biodiversity sciences. A PhD degree in applied computer science or a related field is necessary (interest and/or experience in ecoinformatics or biodiversity studies is a plus), including expertise in programming and database development, data integration, text mining, machine learning, and/or natural language processing. Experience in software development and web applications would also be useful. The successful candidate will work as part of a team including biodiversity scientists and computer scientists, and should be willing to be open-minded, creative and to apply multiple tools to address complex problems. The successful candidate will also be involved in some teaching and participation in other activities that help bridge biodiversity and computer scientists within the iDiv consortium. Applications should consist of a single .pdf file including (i) a 2-3 page overview of background and skills in both computational and biodiversity sciences relevant to this position, (ii) curriculum vitae, and (iv) the names and email addresses of three individuals who could provide an evaluation of the candidate upon request. Applications should be sent to jonathan.ch...@idiv.de as a single .pdf with registration number 4-11424/16-D in the subject line, addressed to Professor Jon Chase, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; Deutscher Platz 5e; 04103 Leipzig and are accepted until 20.12.2016. Full details of the job ad can be found here: https://www.idiv.de/fileadmin/content/Vacancies_PDF/16_1414.pdf For any questions or to indicate your interest in applying, feel free to contact me.
