项目介绍

2026年2月1日

Your job

Wageningen University & Research’s Animal Sciences Group (ASG) is launching a new investment programme centred on the digital transformation of the animal sciences. The programme initiative aims to further strengthen knowledge and methods in data-driven research, data science and artificial intelligence (AI). Seven PhD tracks form the core of the programme and will be carried out jointly by Wageningen BioVeterinary Research (WBVR), Wageningen Livestock Research (WLR) and Wageningen Marine Research (WMR), in close collaboration with the graduate school WIAS and Wageningen University.

The PhDs work under a single theme: “Digital Biology – Integrating Behaviour, Health and Biodiversity in Animal Science”.

The ‘Digital Biology’ programme focuses on developing and applying digital technologies (AI, sensors, modelling, data fusion) to better understand and predict the behaviour, health and biodiversity of animals.

Together, the PhD candidates strive for a better understanding of the ‘digital physiology’ of animals: how behaviour, , pathogens, health and environmental stimuli jointly determine how animals function, adapt and contribute to ecosystems.

PhD: Development of AI Models for prediction of resilience and susceptibility infectious diseases and vaccine efficacy. 

How can advanced mathematical modeling, combined with time series of non-invasive sensing technologies and multi-source biomarker data, be used to develop non-invasive measurable biomarkers that accurately predict the resilience of animals in relation to infectious diseases?

The assessment of disease susceptibility (i.e. whether animals get infected) and disease resilience (i.e., the clinical severity in short and long term) in animals currently relies on infrequent or invasive sampling methods that do not capture rapid biological changes. Biomarkers (including sensors and blood-related markers), —quantifiable indicators of physiological or pathological processes—offer a promising route for real-time physiological assessment. Advances in non-invasive sensing technologies and machine-learning-driven analyses create opportunities for high-frequency, minimally invasive measurements. Proof of concept will be used in sheep, cattle or pigs, initially based on data from clinical eperimental trials and later at farm leve.

You will:

1. Identify measurable and easily accessible biomarkers and sensors indicative of infectious and health status and disease progression in animals.
2. Integrate multiple data sources (non-invasive measurements, internal biomarkers, pathogen load) to create robust datasets for modelling.
3. Develop mathematical and machine-learning models that predict clinical outcomes and disease progression.

With this, we will move on to advanced AI modeling and the integration of different data sources and approaches—statistical modeling, machine learning, and the integration of multi-omics and sensor data—to build new predictive tools to predict resilience for infectious diseases.

You will work here

The research is embedded within Wageningen Bioveterinary research located in Lelystad embedded with the chair Adaptation Physiology of the animal science group , and topic resilience of animals, which is led by Prof. Annemarie Rebel . 

Your qualities

You are an accurate, structured, and collaborative professional. You thrive in a team environment. You are highly curious and motivated to improve animal health and to advance your skills in AI/ML and data workflows. Your Learning goals: combining advanced data analysis techniques with AI methods and techniques.  Affinity with livestock farming, health and welfare, and willing to visit farms

You also possess: 

• A MSc degree with specialization in Life Sciences (Animal Sciences, Biology, Biomedical Sciences, Veterinary Sciences) or Data Science (Bioinformatics, Computer Science, Data Science, Artificial Intelligence, Computational Biology)
• Experience with different programming languages / environments such as, R, Python
• Strong foundation in quantitative data analysis, statistics, and modeling
• Basic experience with machine learning or AI; ability and motivation to develop advanced skills during the PhD
• Knowledge of statistics, time series and machine-learning techniques
• Ability to integrate multiple heterogeneous datasets into robust datasets for analysis
• Ability to work in multidisciplinary teams
• pro-active, collaborative, flexible, result oriented

For this position your command of the English language is expected to be at C1 level. Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information can be found here.

We offer

Wageningen University & Research offers excellent terms of employment. A few highlights from our Collective Labour Agreement include:

• Partially paid parental leave;
• working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
• there is a strong focus on vitality and you can make use of the sports facilities available on campus for a small fee;
• a fixed year-end bonus of 8.3%;
• excellent pension scheme.

In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team.
The gross salary for the first year is € 3.059,- per month rising to € 3.881,-  in the fourth year in according to the Collective Labour Agreements for Dutch Universities (CAO-NU) (scale P). This is based on a full-time working week of 38 hours. We offer a temporary contract for 18 months which will be extended for the duration of the project if you perform well. 

Wageningen University & Research offers plenty of opportunities for growth and development, with a strong internal recruitment policy and excellent training programmes.

Coming from abroad

Wageningen University & Research is the university and research centre for life sciences. The themes we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community and a lot to offer to international employees. 

Because we expect you to work and live in the Netherlands our team of advisors on Dutch immigration procedures will help you with the visa application procedures for yourself and, if applicable, for your family.

Feeling welcome also has everything to do with being well informed. We can assist you with any additional advice and information about for example helping your partner to find a job, housing, or schooling. Finally, certain categories of international staff may be eligible for a tax exemption on a part of their salary during the first five years in the Netherlands.

Do you want more info?

For more information about the position, please contact Prof. Annemarie Rebel, via +31(0)320238108 or email: annemarie.rebel@wur.nl.

Questions about the procedure? Get in touch with Ine van’t Land, Corporate Recruiter, via recruitment.asg@wur.nl.

Ready to apply?
You can apply directly using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval. Only applications submitted through our website will be considered.

To apply, please send the following documents (max. 3 pages in total for both documents):

• Complete and up-to-date curriculum vitae;
• Motivation letter.

The maximum length of the documents must not exceed 3 pages. If it exceeds, applications will not be considered. Additional files such as grades and transcripts are not required during this stage and will not be considered.

You can apply up to and including February 19th, 2026.

Welcome, safe, and valued
Wageningen University & Research (WUR) highly values diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome, safe, and appreciated, regardless of background, identity, or experience. Together, we are building a culture where everyone’s unique contribution adds to the success of our organization.