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This project explores the use of state-space models (SSMs) for sequence modeling in large language models (LLMs), focusing on their CMOS-based hardware implementation. The PhD candidate will develop energy
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. The research will contribute to understanding how energy-related decisions in the built environment can align with global sustainability thresholds. The PhD project will involve interdisciplinary collaboration
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and continuum surgical robots for applications in endovascular interventions, bronchoscopy, and endoscopy. The candidate will work across multiple projects that share a common foundation in sensing and
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. The candidate will work across multiple projects that share a common foundation in sensing and control of soft robotic systems. The research will focus on developing simulation and digital twin frameworks
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understanding of KB development Working with specific Robotics applications in multiple domains Proficiency with various state-of-the-art Computer Vision models Project 2. - PhD Position in Sustainable AI