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About the project: Multi-scale modelling of Thin Film Deposition with Flowable CVD for Next-gen Semiconductors Supervisor: Dr Bora Karasulu, University of Warwick This project, co-funded by Merck
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performance and reliability of active components such as lasers and amplifiers Investigate the science behind yield and manufacturability by developing predictive models to connect the physics and chemistry of
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of the proposed designs; • mathematical modelling of power semiconductor systems and distribution networks using MATLAB/Simulink and PLECS; simulation-based verification of the complete system, including
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investigated. 4. Advanced Control and Modelling Multi-modular distributed motor-drive architectures and ultra-fast semiconductor devices present significant control challenges. Research may involve FPGA-based
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A PhD studentship is available for commencement October 2026 – January 2027 as part of the first Cohort of a new EPSRC Centre for Doctoral Training in UK Semiconductor Industry Future Skills* led by
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. 4. Advanced Control and Modelling Multi-modular distributed motor-drive architectures and ultra-fast semiconductor devices present significant control challenges. Research may involve FPGA-based
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Monash/Bayreuth Double PhD Degree Opportunity - Accelerating organic semiconductor discovery with generative AI, molecular dynamics and DFT Job No.: 698040 Location: Clayton (home) and Bayreuth
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, and electronic applications, yet its production is energy-intensive and relies on global supply chains. At the same time, the photovoltaic and semiconductor industries generate large volumes of silicon
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-vapour experiments, gaining hands-on experience in optical-setup design, III–V semiconductor physics, atomic physics, quantum optics and numerical modelling. The research targets scalable components
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applications. As AI models continue to increase in size and computational complexity, the demand for high-bandwidth, low-latency, and energy-efficient interconnects has become one of the key technological