Farshad Moradi

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 .

PhD opportunity at the University of Southern Denmark in the E-CoRe project (Marie Skłodowska-Curie Actions Doctoral Networks): Realisation of Energy-Efficient Custom Adiabatic Circuits (DC10) . This doctoral position focuses on reversible computing , energy-efficient computing , and circuit design . The selected candidate will design and realize resonant adiabatic reversible circuits for computations such as matrix multiplications and other workloads relevant to large language models and multimodal systems. The work includes architectural exploration, FPGA-level prototyping, custom ASIC implementation, energy measurements, and comparison against conventional irreversible circuits and simulation models. The host environment is the Maersk Mc-Kinney Moller Institute at SDU, with a collaborative research setting and strong expertise in robotics, cyber-physical systems, embedded systems, IoT, and energy-aware computing. The project is part of a broader European network with training, mobility, collaboration, and secondment opportunities. Eligibility: applicants must hold a master's degree or equivalent in computer science , mathematics , electrical engineering , or a closely related field; have a strong academic record; demonstrate motivation for doctoral research; and have proficiency in written and spoken English. Applicants must not already hold a doctoral degree and must satisfy the MSCA mobility rule for Denmark. Researchers of any nationality may apply. Funding: MSCA Doctoral Network allowances include a living allowance of €5,325.28/month, a mobility allowance of €710/month, and a family allowance of €660/month if eligible. Deadline: 25 May 2026, 23:59 CET.

The University of Southern Denmark (SDU) Microelectronics group is inviting applications for a 2-year postdoctoral position in Neuromorphic Bioelectronics and Brain–Computer Interfaces, based in Odense, Denmark. The successful candidate will join the NeuroMate project, focusing on the design of CMOS digital neuromorphic processors for EEG-based brain–computer interfaces. This research area combines advanced microelectronics, neural networks, and bioelectronics to develop innovative solutions for interfacing with the human brain. Applicants should have a strong background in digital IC/VLSI design. Experience or knowledge in neural networks or neuromorphic systems is considered a strong advantage. The position is supervised by Prof. Farshad Moradi (Head of SDU Microelectronics) and Assoc. Prof. Hooman Farkhani (Deputy Head, SDU Microelectronics), both leading experts in the field. The research environment at SDU offers access to state-of-the-art facilities and a collaborative, interdisciplinary team. The position is a 2-year postdoctoral contract. No further details on funding or salary are provided in the announcement. The application deadline is March 15, 2026. Interested candidates should apply via the official SDU career portal and may contact the supervisors for further information. This opportunity is ideal for researchers with expertise in electrical engineering, computer science, or biomedical engineering, particularly those interested in neuromorphic computing and brain–computer interface technologies.