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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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. Curriculum Vitae. Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English translation). Completed TEK PhD application form for 5+3
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(28nm or below) Hardware-aware modeling of state-space inference pipelines Simulation and synthesis of the architecture using EDA tools Benchmarking against transformer-based hardware accelerators Work
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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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of grades (copy of original/official English translation). Completed TEK PhD application form for 5+3 applicants. Find the form at the Faculty website . Completed TEK PhD form for calculation grade point
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, and an application must include: Motivated application. Curriculum Vitae. Master’s and bachelor’s degree certificates or equivalent, including transcripts of grades (copy of original/official English
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CMOS circuits with real or simulated qubit systems. Understand the specific requirements and constraints of interfacing with qubits (control fidelity, noise sensitivity, power dissipation, etc
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: Motivated cover letter Special PhD application form (available here ) Curriculum vitae Bachelor's and Master’s degrees or equivalent (copy of original + verified English translation) A complete list of
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(pressure, temperature, etc.) Signal conditioning and digitization for heterogeneous sensor inputs System-level validation and interfacing with SNN-based hardware What You Will Do Design, simulate, and verify
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You Will Do Design and simulate CMOS circuits for spiking neuron models Develop and validate digital/mixed-signal SNN hardware Collaborate with neuroscientists and system-level designers Contribute