PhD Position in Development and Application of Machine Learning Algorithms for Better Cardiovascular Health Assessment KU Leuven Hypertension and Cardiovascular Epidemiology Belgium


The Research Unit Hypertension and Cardiovascular Epidemiology at KU Leuven specializes in epidemiology and pathophysiological mechanisms of cardiovascular diseases and risk factors. We have a long-standing experience in organizing and coordinating epidemiological studies, in collecting standardized, high-fidelity cardiac and vascular phenotypes and clinical end-points, and in statistical analysis.



This PhD-project aims to develop and apply new predictive models for better cardiovascular health assessment. The candidate will work in close collaboration with epidemiological and computer science teams, conducting applied research in the machine learning domain. In this project, we will implement machine learning models to create a computational framework that will serve as a tool for efficient decision making in cardiovascular disease prevention and diagnosis of cardiac dysfunction based on validated markers.



  • You have a master degree in computer science, informatics, statistics, artificial intelligence, or equivalent, with excellent (honors-level) grades.
  • You have followed courses related to data mining or machine learning, and show a significant enthusiasm for, and knowledge of, this domain. Be sure to mentionany knowledge of, or previous experience with machine learning or riskpredictor development, especially in the medical domain.
  • You are an experienced programmer in Python. Familiarity with other languages, such as Matlab will be considered an asset.
  • You have a strong interest in working on medical applications of machine learning algorithms; you are motivated, curious and creative.
  • You have excellent oral and written communication skills in English.
  • You are able to communicate about your work at local and international congresses and to people from another discipline.



We offer full-time employment for a PhD-researcher. Starting date is as soon as possible. The appointment will be for 1year initially and will be extended after positive evaluation. The candidate will be working at the Campus Sint Rafaël, in Leuven, with regular interactions with two leading centers in machine learning: KU Leuven (Public Health and Primary Care, Kulak Kortrijk Campus) and University of Coruna, Spain (Centrefor Research in Information and Communication Technologies). (S)he will enter the doctoral program of the KU Leuven Doctoral School of Biomedical Sciences.



To apply for this position, please send your CV and a cover letter by email to Prof. dr. Tatiana Kouznetsova,Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Campus Sint Rafaël, Kapucijnenvoer 35, Block D, Box7001, B-3000 Leuven, Belgium.; Tel: +3216345767 


You can apply for this job no later than February 17, 2019 via the online application tool

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at

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