Choisissez votre région

Sélectionnez la région qui correspond le mieux à votre emplacement ou à vos préférences.

Choisissez la langue du site

Ce paramètre contrôle la langue de l'interface utilisateur, y compris les boutons, les menus et tout le texte du site. Sélectionnez votre langue préférée pour une meilleure expérience de navigation.

Choisissez les langues des offres d'emploi

Sélectionnez les langues des offres d'emploi que vous souhaitez voir. Ce paramètre détermine quelles annonces d'emploi vous seront affichées.

PhD in Protein embeddings and computational modelling
KU Leuven

PhD in Protein embeddings and computational modelling

2026-06-29 (Europe/Brussels)
Enregistrer le travail

A propos de l'employeur

KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

Visitez la page de l'employeur

The research group Computational Systems Biology is part of the Faculty of Bioscience Engineering and the Department of Molecular and Microbial Systems (M2S). The research group is led by prof. Dr. Vera van Noort.
Website unit

Project

Recently, Large Language Models of proteins have greatly enhanced the possibilities of Machine Learning in protein biology. We can now build accurate prediction models of protein structures but also other protein features such as their temperature stability and molecular function. The research group has developed the Fold First Ask Later pipeline that annotates the protein function of phage proteins (viruses that infect bacteria), for which the majority of functions are unknown. The current project goes beyond this pipeline and aims to study the function of microproteins and post-translational modifications encoded by phages. These go beyond the current capabilities of protein-LLMs. The candidate will develop novel tools to study these and write scientific publications about the results. The work is carried out in close collaboration with phage biology and biotechnology wet labs to validate computational findings and to create a closed systems biology research cycle.

Furthermore, the candidate will assist with practicals in Bioinformatics courses and guide bachelor and master students of the Faculty of Bioscience Engineering with their thesis work. They will also complete training as required by the Arenberg Doctoral School.
The research output will result in a PhD at the Faculty of Bioscience Engineering.

Profile

We are looking for a candidate with:

  • a Master in Bioinformatics
  • outstanding grades, competitive to obtain FWO funding
  • strong interest in protein modelling, protein Large Language Models
  • experience in High Performance Computing
  • Interest in teaching

Offer

Fully funded 4-year position. 

Interested?

For more information please contact Prof. dr. Vera van Noort, mail: [email protected].

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

Détails de l'offre

Titre
PhD in Protein embeddings and computational modelling
Employeur
Localisation
Oude Markt 13 Louvain, Belgique
Publié
2026-06-02
Date limite d'inscription
2026-06-29 23:59 (Europe/Brussels)
2026-06-29 23:59 (CET)
Type de poste
PhD
Enregistrer le travail

Jobs from this employer

Affichage des offres d'emploi en Anglais Modifier les paramètres

A propos de l'employeur

KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

Visitez la page de l'employeur