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to cases with low signal-to-noise ratio and low-power operation. A first research direction will focus on investigating innovative energy harvesting techniques aimed at powering sensors without the use
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. The application scenarios range from quality-control, video-surveillance to automotive. The company collaborates with Fondazione Bruno Kessler in the study and development of advanced low-power
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. The final output is a low-power, field-deployable platform tailored for the agri-food sector, capable of detecting early-stage contamination or quality shifts directly in harsh production environments
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, or a strong willingness to develop them during the project; experience with R, Python or bioinformatic workflows would be an advantage. Ability to work with human biological material, biobank resources
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. This research will explore novel approaches for enabling AI at the edge, focusing on one or all of the following aspects: i) hardware-aware scaling, model compression, and novel approaches for diverse low-power
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with familiarity with foundation models (e.g. vision language models) and the ability to design and prototype innovative, reliable and reproducible solutions for complex 3D scene understanding tasks
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) project MicroMan4Health (website: https://www.microman4health.eu/ ), Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The shift from process-centric to data-centric
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, Materials Science or similar disciplines Documented experience in developing TEM techniques A strong publication record The ability to properly report, organise and publish research data Good command
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2026/2027, subject to obtaining ministerial accreditation pursuant to Ministerial Decree 226/2021. Where to apply Website https://unifg.esse3.cineca.it/Home.do Requirements Research FieldBiological
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Ability to work independently and as part of an international and interdisciplinary research team Good written and spoken English Desirable skills: Experience with laser-based fabrication techniques