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Field
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designing and building hardware solutions, e.g. using Arduino, Raspberry Pi, 3D-printing, CAD and CNC machining and/or laser cutting Language Requirements: Excellent command of English (C1), both orally and
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, control, and hardware solutions for converter-dominated power systems. Application areas include next-generation megawatt charging infrastructure for heavy-duty electric vehicles and power electronic
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. The success of neural networks as a platform for developing AI is partially explained by the fact that backpropagation, the primary algorithm used to train them, runs efficiently on conventional CMOS hardware
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circuit behaviour, and active device characteristics. Prior exposure to power amplifier design, load-pull techniques, or nonlinear/behavioural modelling is considered an asset. Experience with RF/microwave
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. Aim You will design, build, and evaluate a hardware-aware AI framework for cognitive 3D mapping. The work will bring together three complementary sensing streams: structured illumination for active
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for one fixed operating point and cannot adapt when grid conditions change. In this project you change how carbon-aware AI is designed. Instead of producing a single “best” model, you will use neural
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3 Aug 2026 Job Information Organisation/Company Politehnica University of Timisoara Department Department of Automation and Applied Informatics Research Field Computer science » Systems design
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hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following
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research project, the candidate will design a novel end-to-end incoherent holographic imaging system, and prototype both the camera optics and hardware. It will happen in close collaboration with other
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. These systems provide a powerful platform for DNA computing and programmable signal processing. Possible project elements include: Preparation and functionalization of DNA-based artificial cells Design of DNA