PhD Position in Modeling Menopause-Related Heart Rhythm Disorders at Erasmus MC-Klinische Chemie

PhD Position in Modeling Menopause-Related Heart Rhythm Disorders

Erasmus MC-Klinische Chemie

Rotterdam, South Holland, Netherlands

On-Site

Entry

Starts on October 1, 2026

Posted today

Vacancy Summary

This PhD project focuses on understanding the electrical and structural changes in the heart during menopause and their link to increased heart rhythm disorders in women. You will develop advanced computational models using unique datasets from Erasmus MC.

Required skills

Clinical Collaboration

modeling

Data Integration

Changes

Optimization

Algorithms

Digital Health

Driving

Electrical

Design

Data Collection

Data Analysis

numerical methods

Algorithm Development

Access

Detection

digital twins

ECG

Make

Clear

Electrophysiology

Clinical Data

mapping

Node

Care

Simulations

Pipelines

Cardiac Surgery

LEAD

Menopause induces significant electrical and structural changes in the heart, yet the mechanisms driving this transition and the reasons for the increased risk of heart rhythm disorders in women are still largely unexplored. In this PhD project, you will play a central role in uncovering these mechanisms by developing advanced, multi-scale computational models of atrial electrophysiology.

About the Company

Erasmus MC is renowned for its comprehensive and unique datasets, providing you with high-resolution intra-operative electrical mapping data recorded directly from human atria during cardiac surgery, combined with ECG, PPG, hormone profiles, and continuous vital signs. You will have direct access to clinicians, engineers, and the surgical team collecting this data, allowing you to build models grounded in rich, real-world physiology.

The Role

Your primary task will be to transform these multimodal datasets into patient-specific “digital twins” that simulate how atrial electrophysiology evolves across the menopausal transition. You will design and calibrate mechanistic models at the cellular, tissue, and organ scale; develop numerical methods and optimization pipelines; and run large-scale simulations to reconstruct remodeling trajectories and identify the critical “breaking points” that lead to arrhythmias such as sinus node dysfunction and atrial fibrillation. The mechanistic insights and model outputs you generate will directly contribute to women-specific arrhythmia detection algorithms developed by our industrial partner, ensuring a clear translational pathway toward real-world digital health solutions.

About Erasmus MC-Klinische Chemie

Erasmus MC-Klinische Chemie

Onze afdeling Klinische chemie wil vanuit haar kennis en proces-georiënteerde werkwijze leidend zijn binnen het vakgebied Personalized Medicine / Laboratory Medicine en deze kennis overdragen aan de medisch specialisten van nu en de toekomst. 𝗪𝗮𝘁 𝘄𝗶𝗹𝗹𝗲𝗻 𝘄𝗶𝗷: De afdeling klinische chemie wil haar pijlers op de technologische (Omics) ontwikkelingen richten, bv. metabolomics en farmacogenomics, waarbij de integrale, big data aanpak, steeds belangrijker wordt. De afdeling Klinische Chemie wil naast evaluatie van analytische en klinische performance van testen, ook informatie over klinische effectiviteit van (nieuwe) diagnostische testen genereren bij de translatie van beloftevolle biomarkers tot medische testen. De afdeling Klinische Chemie wil een belangrijke bijdrage hebben in de overdracht van haar kennis en kunde aan nieuwe generaties artsen, specialisten laboratoriumgeneeskunde, laboratoriummedewerkers en andere professionals in de zorg, en daarmee naar uitdaging en voldoening van haar medewerkers. 𝗪𝗮𝘁 𝗯𝗲𝗼𝗴𝗲𝗻 𝘄𝗲 𝗺𝗲𝘁 𝗼𝗻𝘇𝗲 𝗽𝗿𝗼𝗰𝗲𝘀-𝗴𝗲𝗼𝗿𝗶ë𝗻𝘁𝗲𝗲𝗿𝗱𝗲 𝘄𝗲𝗿𝗸𝘄𝗶𝗷𝘇𝗲? Voor goede en snelle diagnostiek is procesoptimalisatie van groot belang. Door het gebruik 1 laboratorium informatiesysteem in het Erasmus MC is het sinds kort mogelijk om de lichaamsmateriaal waarvan diagnostiek is aangevraagd, real-time te volgen. Dat wil zeggen: iedere stap wordt vastgelegd en de efficiëntie van het gehele proces kan geanalyseerd worden. Op deze wijze kan de afdeling Klinische Chemie steeds slimmer omgaan met data die voortkomen uit het gehele proces van de individuele aanvragen. Met die kennis kunnen geleidelijk alle processen binnen de laboratoriumdiagnostiek, inclusief de DNA diagnostiek, geoptimaliseerd worden. Alles in het belang van de patiënt.

Locations

Rotterdam, NL

Website

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