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://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), conducts fundamental and applied research in micro- and optoelectronics, multidimensional signal processing, and audiovisual computing. ETRO
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communication signals themselves can simultaneously provide reliable wireless connectivity and high-precision sensing. The objective is to develop localisation and sensing algorithms that achieve near
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developing and evaluating learning-based approaches for controlling infectious disease spread under realistic epidemiological, operational, and societal constraints. The postdoc will work at the
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of data-driven learning with the robustness and performance guarantees traditionally associated with advanced control methods. The research will therefore explore RL algorithms that not only operate
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, including advanced characterisation and monitoring of materials and structures, mechanics-driven design and optimisation of high-performance and sustainable materials and structures, and adaptive and
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to transform our society to a sustainable one. As a PhD student you will therefore conduct research to understand how battery design, operating conditions and redox chemistry affect performance and
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supervisor’s role may change, how disciplines should respond when AI systems achieve exceptionally high performance, how institutions can remain competitive in research funding, and which evaluation criteria
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related field, or you will have obtained it by the time you start work. You can demonstrate excellent academic performance during your studies. You have a strong interest in lobbying, EU politics and
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and speed against established techniques to ascertain performance enhancements. Collaboration with a second doctoral researcher to optimize the architecture of fiber sensors, fostering synergistic
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interpretation. You will study the effects of reclaimed asphalt pavement (RAP) content, rejuvenator chemistry, mixing and ageing, connect nanoscale and interfacial descriptors to mixture performance, and