The main objective of this PhD project is:

– to explore the different approaches for data access and data usage to support animal health by combining existing and new data and data streams. The PhD candidate will be the main responsible (in collaboration with the main supervisor).

– to develop a common ontology that allows data from different sources to be interpreted consistently through-out the entire project.

– to develop and test alternative approaches for data access and define best practices for sustainable data access (data-to-the-code vs code-to-the-data, federated querying, federated learning)

Job profile: 

– The candidate has experience with ontology design 
– The candidate has an affinity with the livestock production systems 
– The candidate has experience with or is able to learn (statistical) programming and/or coding
– Proficiency in English, both written and oral is required
– Good communication skills are essential for this interdisciplinary and international collaboration project
– The candidate can work both on her/his own, but also enjoys interaction with an interdisciplinary team and international colleagues

How to apply:

Please submit your application by email to Miel Hostens ( before 1 August 2022.
Applications must be submitted in English and should include a copy of your CV, your academic transcripts and a separate motivation letter (max. 1 page) describing your research interests, skills and motivation to apply for
the position.

Incomplete applications will not be considered.

From the submitted applications, a shortlist of candidates will be selected and will be invited for an interview. The interviews of the candidates from the shortlist will take place in August.

Download the full job description here