11 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD positions at Empa in Switzerland
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Experience1 - 4 Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldMedical sciencesYears of Research Experience1 - 4 Additional Information Website for additional job details https
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteEmpaCountrySwitzerlandCitySt. GallenPostal
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. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-in-data-driven
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteEmpaCountrySwitzerlandCityDübendorfPostal
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FieldEngineeringYears of Research Experience1 - 4 Research FieldEngineeringYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number
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of Zurich and Wageningen University & Research. The four-year STEPS project focusses on developing data-driven and machine learning methods to monitor CO2 and NOx emissions using the upcoming satellite
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models and in vitro assays. Experience in phototherapy, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is
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quality journals Personal and professional development support You will be based at Empa in St. Gallen (Claudia Som, principal supervisor, Dr. Roland Hischier and Prof. Dr. Bernd Nowack, co-supervisors) and
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Laboratory is located in St. Gallen at the Swiss Federal Laboratories for Materials Science and Technology (Empa). Our team is highly interdisciplinary and international, providing an inspiring environment
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation