Postdoctoral Research Assistant (PDRA)

PROJECT DESCRIPTION

Epilepsy affects 1% of the world’s population. Up to 30% suffer from drug‑resistant epilepsy (DRE), out of which more than 30% do respond favorably to surgery though only a small fraction can undergo neuromodulation (single-pulse electrical stimulation-SPES). Effective tools are needed to identify candidates for right intervention before applying brain resection planning. Lack of an intelligent technique deprives clinicians from discovering robust biomarkers, relating scalp signatures to intracranial networks, and moving neuromodulation beyond bespoke experimentation into protocol‑driven care.

This Postdoctoral Research Assistant (PDRA) will build upon 20 years of joint research with epileptologists in the UK reflected in over 50 publications, the unique data recorded in King’s College London (KCL) Hospital, developed methods for identification of both interictal epileptiform discharges (IEDs) as well as delayed responses to SPES, and the previous surgery outcomes, to develop a unified expert system for automatic localization of seizure network, translate scalp to intracranial EEG data, and most importantly rank the surgical target and predict the recovery brain resection outcome. Patient demands and rapid establishment of new neuromodulation centers across the world confirm the urgency for doing this project.

The objectives are1) delineation of seizure propagation networks, 2) relating scalp-EEG features to intracranial markers, 3) ranking candidate resection/ablation targets and 4) estimating the probability of patient response to neuromodulation and the corresponding parameter ranges.

KEY SELECTION CRITERIA

The applicant will be based in College of Engineering and Computer Science in Hanoi, Vietnam, supervised by a team including both engineers and clinicians, leading by Professor Saeid Sanei, and will collaborate with the Institute of Psychiatry, Psychology, and Neuroscience (IoPPN) in KCL. The candidate is required to:

• Have a PhD in Signal Processing, Machine Learning, or Bioengineering from a reputed university.
• Have a strong background in the related subjects in advanced/adaptive signal processing (e.g. array processing, multiway signal processing, and sparsity), machine learning, and familiarity with seizure electroencephalography (EEG) analysis.
• Be fluent in reading, writing, and communicating in English.

CONTACT

Interested applicants for the advertised postdoctoral position should contact Prof. Saeid Sanei by email at saeid.s@vinuni.edu.vn.

We thank all applicants for their interest. Please note that only those candidates selected for interviews will be contacted.