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Position: BGB2020 Data Scientist (Post-Doc or Master)
Institution: Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft
Location: Birmensdorf, Switzerland
Duties: Your task will be to analyze biodiversity-relevant parliamentary interventions, laws and regulations as well as annually published court rulings using upfront text retrieval methods. This will enable us to identify the objectives of biodiversity legislation and to measure law enforcement at all levels of administrative and judicial decision-making. The successful applicant will be based at WSL in Birmensdorf and supported by an interdisciplinary team of WSL and eawag scientists
Requirements: You have successfully applied quantitative text retrieval methods, preferably of legislative or planning texts, and are interested in biodiversity topics. You have a doctorate or an excellent master degree in data science, have good statistical knowledge and are familiar with handling large data sets. You should have a good command of English and preferably a Swiss national language and you are able to understand parliamentary texts in German or French. You are very ambitious and motivated, are used to a high standard of independent, structured and careful working attitude, and demonstrate a high level of team spirit
   
Text: Swiss Federal Institute for Forest, Snow and Landscape Research WSL The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is a part of the ETH domain. Approximately 500 people work on the sustainable use and protection of the environment and on the handling of natural hazards. The Blue-Green Biodiversity 2020 is a new initiative between WSL and eawag (Swiss Federal Institute of Aquatic Science and Technology). Please find more information on our homepage at: press release BGB2020. In the framework of this Project within the research unit ‘Land Change Science', we are searching for one year (possibility of extension), with a start between August and October 2020 a BGB2020 Data Scientist (Post-Doc or Master) 80-100% Your task will be to analyze biodiversity-relevant parliamentary interventions, laws and regulations as well as annually published court rulings using upfront text retrieval methods. This will enable us to identify the objectives of biodiversity legislation and to measure law enforcement at all levels of administrative and judicial decision-making. The successful applicant will be based at WSL in Birmensdorf and supported by an interdisciplinary team of WSL and eawag scientists. You have successfully applied quantitative text retrieval methods, preferably of legislative or planning texts, and are interested in biodiversity topics. You have a doctorate or an excellent master degree in data science, have good statistical knowledge and are familiar with handling large data sets. You should have a good command of English and preferably a Swiss national language and you are able to understand parliamentary texts in German or French. You are very ambitious and motivated, are used to a high standard of independent, structured and careful working attitude, and demonstrate a high level of team spirit.Please submit your complete application online to, Jeanine Gehrig, Human Resources WSL, by uploading the requested documents through our webpage. Applications via email will not be considered. For further information, contact Felix Kienast, felix.kienast(at)wsl.ch. The evaluation process will start in July 2020, but the position will remain open until filled. WSL strives to increase the proportion of women in its employment, which is why qualified women are par-ticularly called upon to apply for this position. Apply now Apply with xeebo Zürcherstrasse 111, CH-8903 BirmensdorfCompany-Video
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