Postdoctoral Researcher in Machine Learning for Personalised Healthcare

Il y a 2 heures

belgium belgium KU Leuven Temps plein
pOrganisation/Company KU LEUVEN Research Field Computer science » Modelling tools Computer science » Programming Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 22 Nov 2026
- 23:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number BAP
- Is the Job related to staff position within a Research Infrastructure? No /p h3Offer Description /h3 pIn interaction with the principal investigators and research management team at itec, the candidate will help shape and further strengthen methodological research on Artificial Intelligence and Machine Learning, with a particular focus on applications in Personalised Healthcare. We are primarily seeking a researcher with strong expertise in AI, machine learning, data analytics, and related methodological approaches, who is motivated to apply and further develop these methods in healthcare contexts. The candidate will conduct pioneering research on explainable, trustworthy, and human-centred AI methodologies, and contribute to their application in areas such as clinical decision support, risk prediction, patient stratification, personalised follow-up, and healthcare decision-making. Research will be carried out in close collaboration with experts in data science, healthcare, education and training, and human-centred AI.br/The candidate will play a leading role in advancing the methodological research agenda of itec's AI and Machine Learning subgroup. The research will focus on the development, evaluation and validation of innovative machine learning approaches for complex, longitudinal and heterogeneous data sources, with particular attention to explainability, robustness, trustworthiness and human-centred design.br/Specific research activities may include: /p ul liDeveloping novel machine learning and statistical modelling approaches for personalised healthcare. /li liAdvancing state-of-the-art methodologies in our key areas such as survival analysis, longitudinal data analysis, prediction modelling, recommender systems, active learning and explainable AI. /li liDesigning and evaluating innovative AI methods that support healthcare decision-making and personalised interventions. /li liPublishing research outcomes in leading international journals and presenting findings at high-impact scientific conferences. /li liSupervising doctoral researchers and contributing to the scientific development of the research group. /li liContributing to the preparation of competitive research proposals and the scientific design of collaborative research projects. /li liCollaborating with interdisciplinary teams to translate methodological advances into scientifically sound healthcare applications. /li /ul pThe candidate is expected to contribute to the international scientific reputation of itec through high-quality publications, conference contributions, scientific networking and active participation in the broader research community. The role focuses on methodological excellence and scientific leadership in AI and machine learning for personalised healthcare. /p ul liYou hold a PhD degree in computer science, AI, statistics, or related field. /li liResearch experience in one of the key activities investigated in itec's AI and machine learning subgroup (see above) is a must and it is mandatory to clearly indicate this in the motivation letter. Experience with the analysis of data for healthcare is a plus. /li liYou possess strong problem-solving and analytical abilities, with a research-oriented mindset. You can take initiative and excel both independently and as part of a team. /li liYou have a strong track record or clear potential for conducting high-quality methodological research in Artificial Intelligence, Machine Learning, Statistics, Data Science or a related field. Experience in supervising researchers, publishing in leading journals and contributing to competitive research proposals is considered an asset. /li liAdditionally, you have excellent communication skills, with fluency in English and preferably Dutch, both spoken and written. /li liWe offer full-time employment as a Postdoctoral Researcher. Depending on the candidate's expertise and experience, the appointment will be made in salary scale 43 or 44. The appointment will initially be for one year and can be extended after a positive evaluation, depending on available funding. /li liThe candidate will be working at KU Leuven Campus Kulak in Kortrijk. /li liAs Postdoctoral Researcher, you will have every opportunity to develop yourself further in your professional career, by studying literature, attending seminars and workshops, and interacting with leading researchers from multiple disciplines. /li liThe position offers flexibility and the opportunity to work in an enthusiastic team i