38 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Empa
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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, presentations and scientific publications Your profile You have a PhD degree (or equivalent) in Acoustics or Electrical/Mechanical Engineering or Computer Science. Experience with scientific computing in Matlab
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-quantitative methods for decision support for sustainable innovation. Your tasks With the PhD work, we plan to adapt and advance the SSbD framework in the area of green electronics, with a special focus on bio
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planned for 3 years with the potential to be prolonged and will be carried out as a PhD thesis. It is supported by Empa under the supervision of Dr. Giacomo Reina (scientific supervisor) and in
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hydrogen detection: development of a field-deployable electrochemical method, benchmarked against lab-based approaches. Area 3 (Contact Person Dr Andreas Borgschulte ) Hydrogen permeation in model systems
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into Empa's Atmospheric Modelling / Remote Sensing group with access to state-of-the-art infrastructure. Supervision by PD Dr. Gerrit Kuhlmann, with joint affiliation to the Remote Sensing Laboratories
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fabrication, and biomedical analysis. You will be based at Empa in St. Gallen (Dr. Edith Perret, principal supervisor) and enrolled as a PhD student at RWTH Aachen University (Prof. Stefan Jockenhövel, doctoral
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the supervision of Dr. Paula Navascués. The PhD Student will be enrolled at ETH Zürich, with Prof. Salvador Pané i Vidal as academic supervisor (Department of Mechanical and Process Engineering, D-MAVT). You will
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excellent opportunities to establish connections in the local industry. The work will be carried out at Empa St. Gallen under supervision by Dr. Gordon Herwig and Prof. René Rossi. The position is temporary
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood