Hooman Farkhani
3 weeks ago
2-year Postdoc in Neuromorphic Bioelectronics & Brain–Computer Interfaces at University of Southern Denmark University of Southern Denmark in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is a 2-year postdoctoral research contract. No further funding details are provided.
Deadline
Mar 15, 2026
Country
Denmark
University
University of Southern Denmark

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About this position
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.
Funding details
The position is a 2-year postdoctoral research contract. No further funding details are provided.
What's required
Applicants must have a strong background in digital IC/VLSI design. Knowledge of neural networks or neuromorphic systems is a strong advantage. No further requirements are specified.
How to apply
Apply via the provided application link. Contact Prof. Farshad Moradi or Assoc. Prof. Hooman Farkhani for further information. Ensure your application is submitted before the deadline.
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