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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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creative design processes. The lab will provide access to shared resources, joint supervision, and interdisciplinary training in AI, Life Cycle Assessment (LCA), and computational design tools. The objective
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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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to contact us. You will find contact persons at the bottom of the jobpost. Interviews will be held in late March or the beginning of April. Further information Read more about our recruitment process here
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. The candidate will also carry out 3-month internship at the European Broadcasting Union (EBU) in Geneva. Your competencies You have a strong profile within computer science, computer engineering or similar, and
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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
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have a strong profile within computer science, computer engineering or similar, and have an interest in media deliver infrastructure, including Edge and Cloud computing We expect: A Master’s degree in
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self-learning autonomous robotic systems for reliable operation in extreme environments. Our research strengthens robotic autonomy and resilience, enabling systems to operate safely and with minimal
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around building and deploying AI in healthcare. The main case will be automation of anesthetic pre-screenings. Potential auxiliary cases include evaluation of laparoscopic surgery and AI assistance
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generating new theoretical insights into the role of PBL in emergency contexts, clarifying how crisis conditions reshape learning and organisational processes, and advancing methodological approaches capable