PhD Position: VOG-assisted Stroke Detection in Dizziness Patients 100 %
Date de publication :
07 février 2025Taux d'activité :
100%- Lieu de travail :Bern
- Salaire estimation de jobs.ch:Se connecter pour voir l’estimation de jobs.ch
Résumé de l'emploi
Le projet "Dizziness Assessment and Rapid Evaluation" offre des postes de doctorat. Cette recherche innovante vise à améliorer la détection des AVC chez les patients présentant des vertiges.
Tâches
- Réaliser une étude transversale de 4 ans dans un service d'urgence suisse.
- Assister à la collecte de données multimodales sur les patients.
- Collaborer avec une équipe interdisciplinaire en médecine d'urgence.
Compétences
- Diplôme de Master en ingénierie biomédicale ou domaine connexe requis.
- Proficience en Python pour l'analyse de données scientifiques.
- Connaissance des méthodes statistiques et des techniques d'évaluation par IA.
Résumé de l'annonce originale
Est-ce utile ?
The project "Dizziness Assessment and Rapid Evaluation", led by Prof. Dr Georgios Mantokoudis (University Hospital of Bern) invites applications for PhD positions.
The position is limited to 48 months (project duration).
This PhD position is part of an innovative research project aimed at improving stroke detection in patients with dizziness using Video-Oculography (VOG)-assisted diagnostics. The goal is to apply and validate a triage tool that allows non-experts, such as emergency department (ED) physicians, to increase diagnostic accuracy for vestibular disorders and strokes. This study is funded by the Swiss National Science Foundation.
The position is for four years, with an intended start date of 01.06.2025, or as agree.
PhD position - Responsabilities
- Conduct a 4-year, single-center cross-sectional study in a Swiss ED
- Assist in the recruitment and collection of multi-modal data from patients presenting with dizziness
- Apply and validate an AI-supported VOG-assisted diagnostic algorithm
- Collaborate with an interdisciplinary team in emergency medicine, neurology, and biomedical engineering
- Develop automated data evaluation for eye-tracking measurements
- Publish research findings in peer-reviewed journals and present at conferences
Requirements
- Master's degree (or equivalent) in Biomedical Engineering, Electrical Engineering, Physics, or a related field.
- Experience in experimental design and data analysis.
- Proficiency in Python for scientific computing and data analysis.
- Knowledge of statistical methods and AI-based evaluation techniques.
- Ability to collaborate in an interdisciplinary clinical and engineering research environment.
- German Language >A2
- Knowledge of machine learing tools / AI, computer science is a plus
What we offer
- Exciting research environment at the intersection of engineering, neuroscience, and emergency medicine.
- Opportunity to contribute to life-saving medical technology with real-world clinical impact.
- Collaboration with leading experts in clinical diagnostics and biomedical engineering.
How to apply
Send your CV, cover letter, and relevant certificates to
Prof. Dr. Georgios Mantokoudis, EMBA
Associate Professor in Otorhinolaryngology
Co-Head of CI Center and Otology
Head of Neurootology
University Department of Otorhinolaryngology, Head and Neck Surgery
INSELSPITAL, Universitätsspital Bern
Anna Seiler Haus, CH-3010 Bern Office: +41 31 632 33 21
Email: E-Mail schreiben Website: http://hno.insel.ch
