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We invite applications for multiple Postdoc positions in the Accelerated Connected Computing Lab (ACCL) at KAUST! The new research group, supervised by Suhaib Fahmy explores hardware acceleration
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. Computational Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model
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solutions for operational challenges in hardware such as common mode noise, electromagnetic interference, filter design, etc. • Evaluate and recommend efficient and reliable power electronics with other
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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reconfigurable RF hardware for CAP-MIMO systems and contributing to machine learning-enhanced ISAC methods development through EM-informed modelling and hardware design. This is a unique opportunity to build
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based processors, AI accelerators, and open-source hardware toolchains. The Research Fellow contributes to the University’s mission by conducting high-impact research, developing innovative hardware
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mechanism analysis, electrothermal modeling, and structural design to enhance device performance and capability. Perform software & hardware validation using simulation tools and converter experiments
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particular emphasis on RISC-V based processors, AI accelerators, and open-source hardware toolchains. The Senior Research Fellow contributes to the University’s mission by conducting high-impact research
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separate technologies but can now, due to advances in digital processing and system integration, be deployed jointly on common hardware platforms. This convergence opens up a new and growing research domain
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for the position(s) include: Contributions to the ePIC Silicon Vertex Tracker, through software and simulation work and/or hardware development Data analysis for the ALICE or sPHENIX experiments AI/ML research in