year Postdoc position on Spiking Neural Network (SNN) Algorithm Development for Seizure Detection and Prediction

Job title: year Postdoc position on Spiking Neural Network (SNN) Algorithm Development for Seizure Detection and Prediction

Company: Syddansk Universitet


Job description: Job Category: VIPJob Description:The Institute of Mechanical and Electrical Engineering, SDU, invites applicants for a 2-year Postdoc position offering applicants an exciting opportunity to join a new research project on a real-time brain-inspired system-on-chip for seizure detection and prediction using EEG signals.We are seeking a motivated postdoctoral researcher to develop high-accuracy algorithms for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism.Research area and project descriptionThe project is leveraging the latest research within brain-inspired data processing aiming at reducing workload and improving accuracy of Long-Term Video-Electroencephalographic Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection of epileptic seizures. The first prototype, CEN01, is expected to be implemented in hospitals, giving a more accurate and less time-consuming early detection of seizure.Work descriptionThe appointed researcher will be involved in crafting and applying high-accuracy algorithms for a Spiking Neural Network (SNN) processing unit, to be executed on FPGA and ASIC.As a Postdoc, your key responsibilities will be:

• Develop algorithms for translating the EEG recorded signals for seizure detection and prediction.
• Implementing the developed algorithms on FPGA-based SNN and/or ASIC designed SNN chip with focus on accuracy as a primary parameter and power consumption reduction as a secondary parameter.
• Work closely with Digital system designer to understand the hardware specifications and limits in order to match the developed algorithms with the designed hardware in the best way.
• Document design specifications, and design trade-offs clearly.

QualificationsApplicants should hold a PhD in electronics, computer engineering, or biomedical engineering (the degree should have been completed within the last 5 years at most) with at least 3 years of experience in designing Artificial Neural Network (ANN) or Spiking Neural Network (SNN) algorithms. Candidates, who will complete and defend their PhD thesis by the end of 2025, are welcome as well:

• Strong expertise in algorithm development for neural networks.
• In-depth knowledge of biosignals features and processing techniques.
• Experience in designing Spiking Neural Networks (SNNs) or deep learning algorithms
• Preferably, experience with FPGA development of SNNs
• ASIC design experience is a plus.
• Excellent verbal and written communication skills in English.

For further information, please contact Professor, Farshad Moradi, ,Associate Professors Milad Zamani ; Yasser Rezaeiyan ; and Hooman FarkhaniIf you experience technical problems, please contactApplication procedureApplicants are advised to read the .Assessment of the candidates is based on the application material, and an application must include:

• Motivated application.
• Curriculum Vitae.
• Master’s and PhD degree certificates or equivalent (copy of original/official English translation).
• Complete list of publications.
• Publications most relevant to the position.
• Summary and documentation of experience in teaching, if relevant to the position.
• A research statement may be included.
• References/reference letters may also be included.
• A statement/documentation of other qualifications relevant to the position may also be included.

SUBMISSION GUIDE: Motivated application shall be uploaded as ‘Cover letter’ (max. 5 MB), Curriculum Vitae shall be uploaded as ‘Resume’ (max 5 MB). All other documents shall be uploaded as ‘Miscellaneous documents’ (max 10 files of max 50 MB per file).All documents must be in English and PDF format. CPR number (civil registration no.) must be crossed out. All PDF-files must be unlocked and allow binding and may not be password protected.The application deadline is September 15, 2025, at 11.59 PM/23.59 (CET/CEST)Assessment and selection processApplications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Interviews and tests may be part of the overall evaluation.Read about the .Conditions of employmentAppointment as a postdoc is temporary for an initial 2-year period, and the start date will be agreed with the successful candidate. Extension may be possible depending on available funding.Employment as a postdoc requires scientific qualifications at PhD level at the time of employment. Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for postdoc as described herein. The person employed in the position may, based on a specific individual managerial evaluation, be exempted from time registration, also known as a “self-organizer”.–The University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position.for international applicants about entering and working in Denmark. You may also visit for additional information.about The Faculty of Engineering.About Us:The University of Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do that with the right people. The University’s researchers, lecturers, students, managers and technical/administrative staff are the foundation of our success.

Expected salary:

Location: Odense, Syddanmark

Job date: Thu, 07 Aug 2025 03:29:25 GMT

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