Alberto Marchisio

The Institute of Mechanical and Electrical Engineering at the University of Southern Denmark invites applications for a one-year postdoctoral position in Intelligent Computing Architectures , centered on hardware-aware quantum machine learning . The project asks how hybrid quantum-classical learning systems behave under realistic hardware constraints, including noise, limited quantum resources, device connectivity, finite sampling, and classical computational overhead. The postdoc will work on the design, simulation, training, and evaluation of hybrid learning models and will investigate approaches such as hardware-aware model design, quantum-classical ensemble learning, mixture-of-experts, resource-efficient learning methods, and automated architecture search. A key part of the work is to assess learning performance alongside resource usage and to compare results against suitable classical baselines. The position is embedded in SDU Microelectronics , a growing section within SDU’s Faculty of Engineering that combines expertise in integrated circuits, semiconductor technologies, spintronics, photonics, advanced computing, and energy-efficient system architectures. The role offers an open, collaborative research environment with opportunities to connect quantum machine learning to AI accelerators and resource-aware computing. The successful candidate will also contribute to collaboration with academic, industrial, and technology-development partners, and support research proposals, publications, technical documentation, and project reporting. The research is supervised by Assistant Professor Alberto Marchisio , with additional section leadership contact from Professor Farshad Moradi .