| Published | Deadline | Location |
|---|---|---|
| today | 13 Nov | Amsterdam |
We offer a PhD position to develop AI models using amongst others MRI and ECG data to predict and improve outcomes of Sudden Cardiac Death, working from within our multidisciplinary group of AI experts and clinicians.
Job description
Sudden Cardiac Death (SCD) is a major healthcare problem worldwide, affecting millions of individuals annually. Current prediction models for SCD have limited predictive ability, and result in both underdiagnosis and overtreatment of patients with a risk of SCD. Moreover, about ~50% of SCD victims has not been identified with heart disease of even cardiac symptoms. This urges the need for new methods to identify these patients at an earlier stage. Artificial intelligence provides new opportunities for personalized prediction of SCD, using multi-modal datasets. This project aims to take a next step towards prediction of SCD by using deep learning to analyze multi-modal patient data such as cardiac MRI and electrocardiograms (ECG).
The research group consists of a multidisciplinary team of AI and clinical experts. The focus of this PhD project is on the development of an AI-based methodology that is applicable in clinical practice. The project partly builds on existing work (data, models) that has been developed within the group.
About the role
The PhD student develops a vision regarding model architectures that are likely to be effective for the challenges at hand. The PhD student will set up the data structures, be involved with data preparation, design the AI models and drive the roadmap toward clinical implementation.
The PhD project is embedded the qurAI group at the Department of Biomedical Engineering and Physics and the Department of Cardiology.
The qurAI group is an interfaculty, multidisciplinary group between the Department of Biomedical Engineering and Physics of the Amsterdam University Medical Center (AUMC) and the Institute of Informatics of the University of Amsterdam. The qurAI group focuses on the development, validation and clinical integration of AI solutions for data analysis challenges in healthcare. The group aims at designing and enabling socially responsible AI innovations in healthcare.
The research group at the Department of Cardiology is recognized worldwide for their pioneering research into innovative device treatments for patients with cardiac arrhythmias (including leadless pacemakers and subcutaneous ICDs). This group has a lot of experience with international, multicenter clinical research, as well as the ambition to implement new technologies such as AI in the clinic.
Specifications
Amsterdam UMC
Requirements
We are looking for a talented researcher who is enthusiastic and dedicated to work with a team that is highly driven to improve clinical care.
We look for:
Conditions of employment
Employer
Amsterdam UMC
You will work in a team with other technical and clinical experts, research staff, physician researchers. In addition, you will also collaborate with the partners within various research consortia, both national and international.
Additional information
During the publication period, applications will be handled continuously. If the vacancy is filled, it will be closed prematurely
For more information, please contact F.V.Y. Tjong, MD PhD, Heart Center, Amsterdam UMC, via f.v.tjong@amsterdamumc.nl
For more information about the application procedure, please contact Tanja Hart, Recruitment Advisor, via t.hart@amsterdamumc.nl or via 06-21603178.
A reference check and screening may be part of the procedure. Read here what this entails. If you join us, we will ask for a VOG (Certificate of Good Conduct).
Acquisition in response to this vacancy is not appreciated.
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