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. Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable. Ability to work independently and take initiative in planning and executing
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description Conduct a literature review on SSMs, LLM architectures, and hardware acceleration techniques. Investigating design choices that optimize the model across both the hardware and software stack. Design
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the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers, software developers, and data scientists to ensure practical
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites (e.g., GAMS, Pyomo, JuMP, or similar). Besides that, your ability and
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engineering and wave-wind theories is advantageous Experience in coding (e.g., Python) and in the use of Structural Analysis Software (e.g., OpenSees, Abaqus) is highly desirable Ability to work independently
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Hardware-software co-simulation and benchmarking This PhD project is part of SDU microelectronic unit’s effort in neuromorphic chip design and collaborates with international partners working on spiking AI
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, suitable for wearable or implantable devices. The research will focus on hardware-software co-design, from modeling spiking behavior to implementing scalable architectures on silicon. Key research themes