Hooman Farkhani

Final call: A postdoctoral position in neuromorphic hardware and FPGA/ASIC-based AI hardware is being shared from the University of Southern Denmark (SDU) . The project focuses on advanced computing systems and real-world hardware implementation, with keywords including FPGA design , ASIC design , edge AI , and neuromorphic systems . The post highlights work on EEG → real-time decoding → assistive technology , suggesting a research environment that combines hardware design with applied AI and human-centered computing. This is a strong fit for candidates with experience in digital hardware, embedded/accelerated AI, and system-level implementation. Eligibility/preferences: Applicants should have relevant background in FPGA/ASIC design, AI hardware, neuromorphic systems, or edge AI. The announcement asks for outstanding candidates and implies a strong research fit in advanced computing systems. Funding: This is a two-year postdoc position . No stipend amount, salary scale, or additional funding details are provided in the post. Deadline: 20 April 2026 (stated as “in 3 days”). How to apply: Use the linked post for context and follow the University of Southern Denmark recruitment process if/when the formal application page is available. Apply before the deadline and ensure your profile matches the hardware/AI research focus. Announcer: Hooman Farkhani, Professor, University of Southern Denmark / Aarhus University, Denmark.

A postdoctoral position is available at the University of Southern Denmark (SDU) within SDU Microelectronics, focusing on neuromorphic hardware as part of the NeuroMate project. This collaborative project, involving Aalborg University and the Danish Technological Institute, aims to develop next-generation brain–computer interface (BCI) systems for neurorehabilitation. The successful candidate will work on FPGA/ASIC-based neuromorphic hardware to decode EEG signals into real-time assistive control, operating at the intersection of AI hardware, circuits, and neuroscience. Applicants should have experience in ASIC and/or FPGA design, analog/mixed-signal IC design, and an interest in neuromorphic computing or edge AI. Experience with EEG or biomedical signals is a plus. The position is based at SDU in Denmark, and the application deadline is 20 April 2026. The post is ideal for candidates interested in AI hardware, neurotechnology, and interdisciplinary research at the interface of engineering and neuroscience. For more information and to apply, visit the official SDU career site. The NeuroMate project offers a dynamic research environment with opportunities for collaboration and innovation in neurotechnology and brain–computer interfaces.

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.