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Field
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, from simulation and FPGA to measurement of the fabricated chips in our laboratory Publish and present your results at leading international venues, and complete your doctoral thesis in the Aalto Doctoral
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technologies and software simulation tools. Knowledge of FPGA programming. He/she must be familiar with optical and electronic laboratory measurement equipment, optical fiber system and components, semiconductor
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analysis, such as MATLAB/Simulink, Python, finite-element tools or equivalent Essential Application/Interview Awareness/knowledge of field-oriented control, FPGA-based control, GaN inverter technologies
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meritorious if you have experience with hardware implementation, hardware description languages, and/or FPGA implementation. have experience with side-channel attacks against cryptosystems. are familiar with
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at least one programming language (e.g. Python, C++) ▪ FPGA programming experience ▪ Interest in hands‑on experimentation and hardware prototyping The following points are considered a bonus ▪ Experience
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criteria Experience with side-channel analysis and/or fault-injection techniques. Hands-on experience with embedded systems, microcontrollers, FPGAs, or hardware-security platforms. Knowledge
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major challenge due to the limitations of conventional software simulation and existing device-level emulation platforms. This PhD project will develop an advanced emulation framework, potentially FPGA
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with side-channel analysis and/or fault-injection techniques. Hands-on experience with embedded systems, microcontrollers, FPGAs, or hardware-security platforms. Knowledge of cryptographic
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of HR schemes, using the Artiq environment (FPGA-based experiment control) - The characterization of the clock transition coherence time, the main noise sources, and the implementation of DD sequences
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. Experience with embedded systems, real-time computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient