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Position: PhD candidate in environmental exposure science
Institution: Swiss Tropical and Public Health Institute
Location: Basel, Switzerland
Duties: The PhD candidate will be joining a multidisciplinary research team focusing on exposure modelling, data science, environmental epidemiology, and practical measurement studies. The successful candidate will be registered in the PhD program in Epidemiology/Public Health of the University of Basel
Requirements: Master degree level in data science, statistics, geographic information sciences, geography, quantitative epidemiology or a similar field; Good knowledge of programming, data management methods, and quantitative analytical methods (preferably R, python); Experience in processing and managing big datasets and with using geographic analysis systems (ArcMap, QGIS, R) would be an asset; Broad interest in environment and health research; Excellent command of English (speaking and writing); Good communication skills; Strong spirit of team work and initiative
   
Text: The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, services, and education and training at the local, national and international level. About 850 people from more than 80 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions. Within the Department of Epidemiology and Public Health (EPH), our Unit “Environmental Exposures and Health” (EEH) is focused on research related to the many environmental exposures: including air pollution, noise, electromagnetic fields, heatwaves, green space and airborne pollen. We are looking for a PhD candidate in environmental exposure science Description: Your future PhD project “ Spatiotemporal modelling of exposure to airborne pollen and its effects on cardiorespiratory health ” is funded by the European Research Council. It aims to model the day-to-day and geographic variations of pollen in different climatic regions of Switzerland. You will use these models to estimate people’s exposure to airborne pollen for subsequent epidemiological research into a diversity of health effects. During the modelling process, you will work with measured pollen concentrations (through a collaboration with MeteoSwiss), weather data, geographic datasets and satellite observations to improve pollen exposure mapping for applications in epidemiology and forecasting. These exposure models make up the foundation of several epidemiological analyses into the health effects of pollen, aiming to improve personalized pollen forecasting, and prevention recommendations for people who suffer from allergies. The PhD candidate will be joining a multidisciplinary research team focusing on exposure modelling, data science, environmental epidemiology, and practical measurement studies. The successful candidate will be registered in the PhD program in Epidemiology/Public Health of the University of Basel. You should have the following experiences and skills: Master degree level in data science, statistics, geographic information sciences, geography, quantitative epidemiology or a similar field Good knowledge of programming, data management methods, and quantitative analytical methods (preferably R, python) Experience in processing and managing big datasets and with using geographic analysis systems (ArcMap, QGIS, R) would be an asset Broad interest in environment and health research Excellent command of English (speaking and writing) Good communication skills, Strong spirit of team work and initiative The successful candidate will be employed by Swiss TPH at the salary rate defined by the Swiss National Science Foundation for doctoral students. The PhD position will be for a period of four years. The working place will be Swiss TPH - an institute associated with University of Basel, Basel, Switzerland. The position may start from 1 May 2020 onwards. We look forward to receiving your online application (in English) with CV Motivation letter MSc course transcripts including grades Names and contact information (email or phone) of 2 references Please note that we can only accept applications via our online recruiting tool. Applications via e-mail or external recruiter will not be considered. Contact For further information about the position, please visit our unit’s website: https://www.swisstph.ch/en/about/eph/environmental-exposures-and-health/ or contact Dr. Marloes Eeftens: marloes.eeftens@swisstph.ch » Forward to online application . » Back to job market
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