PhD position in explainable machine learning for personalized patient follow-up

KU Leuven, Belgium

Updated: about 1 month ago
Job Type: FullTime
Deadline: 13 Apr 2025

14 Mar 2025
Job Information
Organisation/Company

KU Leuven
Research Field

Computer science » Other
Researcher Profile

First Stage Researcher (R1)
Country

Belgium
Application Deadline

13 Apr 2025 - 00:00 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

38 hours/week
Offer Starting Date

1 Aug 2025
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Reference Number

BAP-2025-159
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

This PhD position, which is funded by the Research Foundation Flanders (FWO), consists of two main parts. First, the candidate will develop machine learning models aimed at improving the follow-up of neurocognitive function in critically ill children after discharge from the intensive care unit. This project involves developing personalized test sequences to enhance assessment efficiency and predicting potential adverse consequences to facilitate preventive strategies. This will involve working with real data (including its challenges, such as data preprocessing, dealing with missing data, etc.) from and in consultation with our university hospital's intensive care unit. Second, in order to solve the first part, the candidate will carry out fundamental research on the topics of multi-label learning, semi-supervised learning and label ranking. The candidate will develop new explainable algorithms for these tasks, and as such also make contributions to the machine learning domain. Note that the data structure the candidate is expected to work on is mostly tabular data (rather than text or images, for example).
Besides doing research, the candidate is expected to participate in educational activities (participate in seminars, be involved in teaching, exam surveillance, ...).


Where to apply
Website
https://easyapply.jobs/r/PpRNdxP23N62zP2liz75

Requirements
Research Field
Computer science
Education Level
Master Degree or equivalent

Research Field
Engineering
Education Level
Master Degree or equivalent

Research Field
Information science
Education Level
Master Degree or equivalent

Languages
ENGLISH
Level
Good

Languages
DUTCH
Level
Basic

Additional Information
Benefits

We offer full-time employment for a PhD researcher. The appointment will be for 1 year initially and will be extended after positive evaluation.
The candidate will be working at KU Leuven Campus Kulak in Kortrijk. (S)he will enter the doctoral program of the KU Leuven Doctoral School of Biomedical Sciences.
As a PhD student, you will have every opportunity to develop yourself further in your professional career, by studying literature, attending seminars and workshops, participating in international conferences and interacting with leading researchers from multiple disciplines.
The position offers flexibility and the opportunity to work in an enthusiastic team in a stimulating multicultural environment. Your research will contribute to developments in healthcare that have a high societal impact.
In addition to a competitive scholarship, KU Leuven also offers several additional benefits, such as hospitalization insurance, eco-vouchers, reimbursement of commuting expenses by public transport, inexpensive meals, a KU Leuven bicycle, ...


Eligibility criteria
  • You have a master’s degree in computer science, data science, informatics, statistics, artificial intelligence, (mathematical) engineering, or equivalent, with excellent ('honors'-level) grades. Candidates expecting to graduate in summer 2025 are also welcome to apply, they should demonstrate their excellent results via their academic transcript.
  • You have followed fundamental courses related to machine learning, and show a significant enthusiasm for, and knowledge of, this domain. Be sure to mention in your motivation letter any knowledge of (or previous experience with) the machine learning research topics of the PhD project as detailed in the project description above.
  • You are an experienced programmer in Python.
  • You have a strong interest in working on real healthcare applications and in interacting with healthcare professionals. You treat the medical data and the associated research questions with the necessary respect. Be sure to mention in your motivation letter any previous experience with healthcare projects in general, and any background in working with critical care data in particular.
  • You are motivated, curious and creative. You are able to communicate about your work to people from another discipline.
  • You are able to work independently, but also to integrate and interact with a team of fellow PhD researchers and postdocs in our research group.
  • You have excellent oral and written communication skills in English. Knowledge of Dutch will be considered an asset. 

Selection process

For more information please contact Prof. dr. Celine Vens, tel.: +32 56 24 64 98, mail: celine.vens@kuleuven.be .
No applications via e-mail, please use the KU Leuven online application tool.  Applications via e-mail will not be accepted.


You can apply for this job no later than 13/04/2025 via the online application tool


Work Location(s)
Number of offers available
1
Company/Institute
KU Leuven
Country
Belgium
State/Province
West-Vlaanderen
City
Kortrijk
Postal Code
8500
Street
Kortrijk
Geofield


Contact
State/Province

Kortrijk
City

West-Vlaanderen
Street

Kortrijk
Postal Code

8500
E-Mail

celine.vens@kuleuven.be

STATUS: EXPIRED

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