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through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas
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and familiarity with radar signal-processing algorithms. Key responsibilities include contributing to radar hardware architecture, system integration, and the construction of experimental sensing
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power electronic converter prototypes and associated control algorithms. Perform experimental testing, data analysis, and performance evaluation of power electronic systems. Develop simulation models
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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
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data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
implement simulation platforms and experimental pipelines for algorithm validation. Visualize simulation and experimental results to support decision-making and research findings. Contribute to: High-impact
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relevant research or working experience in LLM/VLM and AI decision-making algorithms for autonomous vehicles will be preferred. We regret to inform that only shortlisted candidates will be notified. Hiring
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like Genetic Algorithms (GA) and PID control, using MATLAB/Simulink. Experience with electrical and battery testing, soldering, and PCB design (e.g., Autodesk Eagle). Ability to work collaboratively in
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algorithms into the real development progress Preparing academic publications such as patent applications and research papers Contributing to quarterly and annual report writing and presenting Requirements
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(Modbus, MQTT), and DER operations. Knowledge of cryptography, consensus algorithms, and security best practices. Prior experience in energy markets or financial settlement systems is highly desirable