{"id":161595,"date":"2025-09-11T03:00:12","date_gmt":"2025-09-11T01:00:12","guid":{"rendered":"https:\/\/www.cde.ual.es\/?p=161595"},"modified":"2025-09-10T13:40:38","modified_gmt":"2025-09-10T11:40:38","slug":"phd-computational-cardiology-netherlands","status":"publish","type":"post","link":"https:\/\/www.cde.ual.es\/en\/phd-computational-cardiology-netherlands\/","title":{"rendered":"PhD &#8211; Computational Cardiology &#8211; Netherlands"},"content":{"rendered":"<p><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/www.cde.ual.es\/wp-content\/uploads\/2022\/09\/ali-hajiluyi-MhFJNz_D8t4-unsplash-scaled.jpg\" alt=\"Modelo m\u00e9dico de un coraz\u00f3n humano\" width=\"458\" height=\"305\" \/><\/p>\n<p style=\"text-align: justify;\">If you are passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges, Maastricht University is seeking a PhD candidate to develop innovative Digital Twin technology that will help clinicians make critical treatment decisions for patients with heart failure and valve disease.<\/p>\n<p style=\"text-align: justify;\">You&#8217;ll develop patient-specific computational models \u2013 &#8220;Digital Twins&#8221; \u2013 that simulate how individual hearts with combined valve and muscle disease respond to different treatments. Working at the intersection of biomedical engineering, computational modeling, and clinical cardiology, you&#8217;ll:<\/p>\n<ul style=\"text-align: justify;\">\n<li>Analyze comprehensive clinical data from our ongoing multicenter PRAISE-MR trial, including advanced exercise echocardiography from over 110 patients;<\/li>\n<li>Extend the internationally recognized CircAdapt cardiovascular modeling platform to accurately simulate the complex interplay between failing heart muscle and diseased valves;<\/li>\n<li>Create personalized simulations that predict which patients will benefit from valve interventions versus medical therapy;<\/li>\n<li>Validate your Digital Twin predictions against real-world treatment outcomes from clinical registries.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><strong>Requirements\u00a0<\/strong><\/p>\n<ul style=\"text-align: justify;\">\n<li>Master&#8217;s degree in (Biomedical\/Mechanical) Engineering, Technical Medicine, Computer Science, Mathematics, Physics, or related field;<\/li>\n<li>Strong interest in cardiovascular physiology and computational modeling;<\/li>\n<li>Programming experience (preferably MATLAB, Python, or similar);<\/li>\n<li>Enthusiasm for interdisciplinary collaboration and clinical translation;<\/li>\n<li>Excellent communication skills for working across technical and medical domains.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><strong>Benefits<\/strong><\/p>\n<ul style=\"text-align: justify;\">\n<li>Good employment conditions. The position is graded in scale P according to UFO profile PhD, with corresponding salary based on experience ranging from \u20ac3059,00 and \u20ac3881,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.<\/li>\n<li>An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow.<\/li>\n<li>At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model.<\/li>\n<li>As Maastricht University, they offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students.<\/li>\n<li>They provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as &#8216;acknowledge and appreciate&#8217;.<\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><b>Organization\/Company<\/b> \u2013Maastricht University (UM).<\/p>\n<p style=\"text-align: justify;\"><b>Research field<\/b> \u2013 Engineering \u00bb Biomedical engineering<\/p>\n<div style=\"text-align: justify;\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Engineering \u00bb Simulation engineering<\/div>\n<div style=\"text-align: justify;\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Medical sciences \u00bb Medicine.<\/div>\n<p style=\"text-align: justify;\"><b>Research profile<\/b>\u00a0\u2013 First Stage Researcher (R1).<\/p>\n<p style=\"text-align: justify;\"><b>Country<\/b> \u2013Netherlands.<\/p>\n<p style=\"text-align: justify;\"><b>Application Deadline<\/b> \u2013 24 Sep 2025 &#8211; 21:59 (UTC).<\/p>\n<p style=\"text-align: justify;\"><b>More information:\u00a0<a href=\"https:\/\/euraxess.ec.europa.eu\/jobs\/372649\">Euraxess<\/a>.<\/b><\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you are passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges, Maastricht University is seeking a PhD candidate to develop innovative Digital Twin technology that will help clinicians make critical treatment decisions for patients with heart failure and valve disease. You&#8217;ll develop patient-specific computational models \u2013 &#8220;Digital Twins&#8221; \u2013 that [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":118895,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[4048,366,4043,4045],"tags":[937,15708,719,14178,848,5166,1155,760,1656,460,2103],"class_list":{"0":"post-161595","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-engineering-architecture","8":"category-eu-calls-and-awards","9":"category-euraxess-en","10":"category-science","11":"tag-biomedical-engineering","12":"tag-computational-cardiology","13":"tag-engineering","14":"tag-eu-calls","15":"tag-euraxess-en","16":"tag-maastricht","17":"tag-medical-sciences","18":"tag-medicine","19":"tag-netherlands","20":"tag-phd","21":"tag-simulation-engineering","22":"entry"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>PhD - Computational Cardiology - Netherlands | CDE Almer\u00eda - Centro de Documentaci\u00f3n Europea - Universidad de Almer\u00eda<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.cde.ual.es\/?p=161597\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD - Computational Cardiology - Netherlands | CDE Almer\u00eda - Centro de Documentaci\u00f3n Europea - Universidad de Almer\u00eda\" \/>\n<meta property=\"og:description\" content=\"If you are passionate about bridging computational modeling with clinical cardiology to solve real-world healthcare challenges, Maastricht University is seeking a PhD candidate to develop innovative Digital Twin technology that will help clinicians make critical treatment decisions for patients with heart failure and valve disease. 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