Postdoc in Neuromorphic Hardware and FPGA/ASIC-Based AI Hardware University of Southern Denmark in Denmark

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.