In the Science, Engineering and Technology Group of KU Leuven, Faculty of Engineering Science, Department of Electrical Engineering (ESAT), Research Unit ESAT-STADIUS and the Biomedical Sciences Group, Faculty of Medicine, Department of Cardiovascular Sciences, there is a shared 50%-50% academic vacancy in the area of artificial intelligence in cardiovascular healthcare. We are looking for internationally oriented candidates with an excellent interdisciplinary research record and with educational competence.
ESAT-STADIUS (STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics) (www.esat.kuleuven.be/stadius/) is a research unit in the Department of Electrical Engineering (ESAT) (www.esat.kuleuven.be) of KU Leuven (www.kuleuven.be), joining the research and educational activities of 14 professors and over 90 PhD and postdoctoral researchers.
Academic research in ESAT-STADIUS is focused on mathematical engineering, where mathematical tools from numerical linear and multi-linear algebra, statistics and optimization are used for applications of dynamical systems and control, signal processing, data modeling and analytics. ESAT-STADIUS offers recognized expertise in diverse application fields such as industrial automation, audio and speech communication, digital communication, biomedical signal and data processing, and bio-informatics.
ESAT-STADIUS attracts competitive research funding through regional, national and European funding channels, such as the European Research Council ERC (www.esat.kuleuven.be/stadius/projects.php). In addition, ESAT-STADIUS has a large number of collaborative projects with industry, which has also resulted in several spin-off companies (www.esat.kuleuven.be/stadius/spinoffs.php ).
The Department of Cardiovascular Sciences aims to increase knowledge in cardiovascular biology and diseases, to implement translation from bench to bedside and to improve patient care and cardiovascular health. The research in the Department of Cardiovascular Sciences includes exploratory basic research, clinical and population studies, and diagnostic and technological innovation in the broad field of cardiovascular diseases. The different research units excel in their specific expertise. Animal and human research projects extend across the departmental matrix of research tracks. The research units all contribute to six major research tracks within the department: (1) heart, (2) vessel, (3) blood, (4) cardiovascular health, (5) clinical care and patient management, and (6) imaging and diagnostics. The department has 300 collaborators in the different research and clinical cardiovascular disciplines with more than 70 senior academic staff members, 200 researchers and clinicians (of whom 100 are PhD researchers) and 40 support staff members.
You establish an internationally relevant research program in the area of artificial intelligence (AI) and the use of mobile applications in cardiovascular healthcare, both theoretical and application-oriented, and based on data-driven and/or physiologically inspired models. This research program can take several directions (non-exhaustive, non-restrictive list):
AI-assisted health data ingestion and wrangling, data quality assessment and enhancement, semantic interpretation, automatic feature generation and active learning for extracting digital biomarkers.
Big data analysis, trusted and explainable deep/machine learning for cardiac decision support and therapeutic efficacy assessment.
Large-scale data integration coping with a wide range of datatypes, including low-level signals (multi-omics), time-series (ECG-cardiacimaging), cardiovascular images(echocardiography, cardiac magnetic resonance imaging, microscopicimaging, etc.), structured and unstructured documents, tabular data andrelational databases.
AI-assisted cardiovascular care decision support through extensivewearable sensing in the real world (m-Health) (including a person’s symptoms,behavior, environmental, and physiological information, combined with geneticand healthcare data) in order to prevent (healthy cardiovascularaging), diagnose and/or treat heart and vessel diseasesand predict events in cardiovascular patients.
Applications in a clinical context and ambulatory long-term monitoring, for sports, preventive healthcare, and personalized cardiovascular medicine with focus on automation, robustness (with regard to missing data, artifacts, uncertainty), and improved diagnostic intelligence for decision support.
For the execution of the research, you rely on (and contribute to) well-founded expertise within ESAT-STADIUS on artificial intelligence techniques, in particular data-driven modelling, large-scale signal/image analysis, biomedical data processing, machine/deep learning, statistics, multi-omics, signal processing, etc., and the extensive clinical expertise within the Department of Cardiovascular Sciences, in particular on cardio-genetics, cardiac arrhythmia, cardiovascular imaging, heart failure/transplantation and adult congenital heart disease. Both groups have a longstanding cooperation in cardiorespiratory monitoring, big data based cardiovascular diagnostics and cardiovascular risk prediction.
The research is also embedded in interdisciplinary research institutes and programs, e.g., KU Leuven Institute for Artificial Intelligence (Leuven.AI) and the Flanders AI Impulse Program.
You publish at the highest scientific level, acquire competitive research funding, and supervise PhD projects at an international level. You endorse the international research strategy and contribute to the further strengthening of the scientific reputation of ESAT-STADIUS and the Department of Cardiovascular Sciences by taking a key role in the network of scientific and international collaborations in the aforementioned research domain.
You provide high-quality education in the Bachelor and/or Master program of the KU Leuven Faculty of Engineering Science and Faculty of Medicine, particularly in Biomedical Engineering and in the Advanced Master of Artificial Intelligence, with a clear commitment to the quality of the program as a whole. You also contribute to the pedagogical project of the faculties/university through the supervision of master’s theses and as supervisor of PhD candidates.
You develop your education in accordance with the vision of KU Leuven on activating, blended and research-based education and make use of the possibilities for educational professionalization offered by the faculty and the university.
You are prepared to provide scientific, social and internal services. You provide advice and support for clinical and preclinical research projects in collaboration with the researchers and the PhD candidates of the various research groups within the Department of Cardiovascular Sciences and associated clinical divisions. You are part of a taskforce within the department that develops, documents and optimizes data gathering from hospital information systems according to current legal frameworks.
You have a PhD in Engineering Sciences (Electrical Engineering, Biomedical Engineering, Computer Science) or an equivalent degree.
You have a strong interdisciplinary research profile within the aforementioned research domains and have international research experience. The quality of your research is proven by publications in international leading journals and conferences.
You have demonstrable qualities related to academic education. Teaching experience is an asset.
You possess organisational skills and have a cooperative attitude. You also possess leadership capacities within an interdisciplinary university context.
A good command of English is required. KU Leuven provides courses in academic English.
The official administrative language used at KU Leuven is Dutch. If at the time of recruitment you have no or insufficient knowledge of Dutch, KU Leuven will provide you with a training program to learn Dutch to the required level.
We offer full-time employment in an intellectually challenging environment.
KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied scientific research. It is highly inter- and multidisciplinarily focused and strives for international excellence. KU Leuven actively cooperates with research partners in Belgium and abroad and provides students with an academic education that is based on high-quality scientific research.
You will work in Leuven, a historic, dynamic and lively city located in the heart of Belgium, within 20 minutes from Brussels, the capital of the European Union, and less than two hours from Paris, London and Amsterdam.
Depending on your record and qualifications, you will be appointed to or tenured in one of the grades of the senior academic staff: assistant professor, associate professor, professor or full professor. In principle, junior researchers are appointed as assistant professor on the tenure track for a period of 5 years; after this period and a positive evaluation, they are permanently appointed (or tenured) as an associate professor.
For more information please contact Prof. dr. ir. Georges Gielen, tel.: +32 16 32 40 76, mail: firstname.lastname@example.org or Prof. dr. Rik Willems, tel.: +32 16 33 05 61, mail: email@example.com.
For problems with online applying, please contact firstname.lastname@example.org.
Add to your application the following documents (more information is available on the KU Leuven job site):
- Your biosketch in which you indicate your added value as an academic for research, education and service to society of your past career and of your future activities (maximum 2 pages);
- A file on your five most important publications or realizations;
- An extensive cv including a full publication list and if applicable a portfolio of your architectural projects.