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Are you excited to develop the next generation of analytical technology for one of today’s most challenging societal questions? Do you want to help make nanoplastics measurable by combining smart sampling, advanced separation science, molecular characterization and chemometric data analysis? In the STREAMLINED project, we are looking for three PhD candidates. Together you will build new methods to detect, characterize and understand nanoplastics. Your work will provide the missing analytical link needed for safer, more durable and sustainable materials as well as cleaner water and better-informed material-development and environmental decisions.

Are you interested in child anxiety? Are you interested in academia and would you like to contribute to data preparation, analyze data (qualitatively/quantitatively), write along ((co-)authorship) and learn about project management? Are you an independent worker who enjoys collaborating in an enthusiastic team with passion for increasing treatment outcomes for anxious youth? If so, this is the project for you!

Are you passionate about advancing Machine Learning by integrating insights from the natural sciences? Are you eager to bridge the 3rd (computational) and 4th (data-driven) paradigms of science by developing new AI approaches that discover fundamental principles through integrating knowledge from physics, chemistry, or biology? We are looking for a creative researcher who views the laws of physics not as constraints, but as the ultimate inductive bias for the next generation of AI foundation models.