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SDU Postdoc: Spiking Neural Network for Seizure Detection

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 description

The 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 description

The 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.

Qualifications

Applicants 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 contactProfessor, Farshad Moradi, moradisarahsullivanphendrix@sdu.dkstephens.dkjackson.dkmerritt-mcdonald.dk ,Associate Professors Milad Zamani dmillermzamaniheather35@sdu.dkmcdonald.dkrodriguez.dkhill-crawford.dk ; Yasser Rezaeiyan  yrezaeiyandanielle27efernandez@thompson-tapia.dkece.au.dkfisher-morris.dkreed.dk ; and Hooman Farkhani farkhanibriana93francisco73@howell.dksdu.dkcollins.dkbishop.dk

If you experience technical problems, please contact randygriffinnicholaschavezhcm-supportlindsey02@thomas.dkflowers-medina.dksdu.dkmeyers.dk.

Application procedure

Applicants are advised to read the SDU information on how to apply.

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 process

Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU. Interviews and tests may be part of the overall evaluation.

Read about the Assessment and selection process.

Conditions of employment

Appointment 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. Further information on salary and taxation. 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.

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

Further information about The Faculty of Engineering.