KU Leuven
Top university
Just Landed
2 days ago
Postdoctoral Researcher in Machine Learning for Personalised Healthcare KU Leuven in Belgium
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral employment at KU Leuven with salary scale 43 or 44 depending on expertise and experience. Initial appointment is for one year and may be extended after positive evaluation depending on available funding. Additional benefits include hospitalization insurance, eco-vouchers, commuting reimbursement, inexpensive meals, and a KU Leuven bicycle.
Deadline
Nov 22, 2026
Country
Belgium
University
KU Leuven

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
KU Leuven is advertising a Postdoctoral Researcher in Machine Learning for Personalised Healthcare at itec, a research group at KU Leuven and imec located on the Campus Kulak Kortrijk. The role sits in the AI and Machine Learning subgroup and focuses on methodological research in artificial intelligence, machine learning, statistics, and data science, with applications in personalised healthcare.
The successful candidate will work on explainable, trustworthy, and human-centred AI methods for healthcare decision support, risk prediction, patient stratification, personalised follow-up, and healthcare decision-making. Research topics mentioned include supervised, unsupervised, and semi-supervised learning, multi-label/target prediction, recommender systems, active learning, survival analysis, longitudinal data analysis, prediction modelling, and interpretable AI.
This is a full-time postdoctoral position. The appointment is initially for one year and may be extended after positive evaluation, depending on available funding. Salary scale 43 or 44 applies depending on expertise and experience. KU Leuven also mentions additional benefits such as hospitalization insurance, eco-vouchers, commuting reimbursement, inexpensive meals, and a KU Leuven bicycle.
Eligibility highlights: applicants should hold a PhD in computer science, AI, statistics, or a related field. Strong experience in one of the subgroup’s core methodological areas is mandatory and must be clearly stated in the motivation letter. Experience with healthcare data is considered an advantage, and fluency in English is required; Dutch is preferred.
Applications must be submitted via the KU Leuven online application tool. Email applications are not accepted. The deadline is 22 November 2026 at 23:59 CET. For questions, the post lists Prof. dr. Celine Vens and Mrs. Ine Windey as contacts.
Funding details
Full-time postdoctoral employment at KU Leuven with salary scale 43 or 44 depending on expertise and experience. Initial appointment is for one year and may be extended after positive evaluation depending on available funding. Additional benefits include hospitalization insurance, eco-vouchers, commuting reimbursement, inexpensive meals, and a KU Leuven bicycle.
What's required
Applicants must hold a PhD degree in computer science, AI, statistics, or a related field. Strong research experience in one of the subgroup's key areas (supervised, unsupervised or semi-supervised learning, multi-label/target prediction, recommender systems, active learning, survival analysis, or longitudinal data analysis) is mandatory and must be clearly indicated in the motivation letter. Experience with healthcare data analysis is a plus. Candidates should have a strong problem-solving and analytical mindset, a track record or clear potential for high-quality methodological research, and preferably experience supervising researchers, publishing in leading journals, and contributing to competitive research proposals. Excellent English is required; Dutch is preferred.
How to apply
Apply through the KU Leuven online application tool; applications by email are not accepted. Contact Prof. dr. Celine Vens or Mrs. Ine Windey for more information. Submit your application by 22 November 2026 at 23:59 CET.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.