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Deadline: 1 October 2026 | Published: 10 September 2026
Job description
How does the microbiome surrounding a plant determine whether a pathogen can successfully invade? And can we predict disease outcomes from microbiome composition and plant phenotypes? Join us as a PhD candidate to investigate how the potato microbiome influences interactions with two major plant pathogens: Phytophthora infestans and Ralstonia solanacearum . You will combine high-throughput plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to…
identify the microbial factors that make plants more resilient to disease.
Your job
You will join the Plant-Microbe Interactions group and work within the NWO Vici project ResistoBiome: Predictive microbiome modelling for resilient and sustainable potato cropping systems.
In this project, you will investigate why the same pathogen can cause severe disease in one microbial environment but establish poorly in another. You will work with a unique collection of 100 Dutch agricultural soil microbiomes and grow potato plants in the automated phenotyping facilities of the Netherlands Plant Eco-phenotyping Centre (NPEC). Using high-resolution imaging, you will follow plant growth, physiology and disease development after infection with Phytophthora or Ralstonia.
You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen invasion and plant performance. Working in close collaboration with a postdoctoral researcher and a fellow PhD candidate, you will identify microbial taxa and microbial interactions that are most strongly associated with disease resistance or susceptibility.
A key part of your project will be to move from prediction to biological understanding. You will select promising microbes emerging from the models, isolate and experimentally test them, and investigate how they influence pathogen establishment and plant health. This will allow you to ask not only which microbes predict disease outcomes, but also why they matter.
During your PhD, you will:
- perform large-scale potato experiments using 100 contrasting soil microbiomes;
- use automated high-throughput phenotyping to quantify plant growth, physiology and disease development;
- profile root and leaf microbiomes using amplicon sequencing;
- analyse integrated microbiome and phenotyping datasets;
- contribute to machine-learning models predicting pathogen invasion success and plant resilience;
- identify microbial taxa and interactions associated with contrasting disease outcomes;
- isolate and experimentally validate selected candidate microbes;
- design follow-up experiments to understand how protective microbes influence plant–pathogen interactions;
- collaborate closely with researchers in microbiology, plant pathology, phenotyping, bioinformatics and predictive modelling.
The project gives you the opportunity to work across scales: from thousands of plants and complex microbiome datasets to mechanistic experiments with individual microbial isolates.
Requirements
You enjoy combining experimental biology with quantitative approaches and are eager to develop skills in microbiome data analysis and predictive modelling;
You have:
- an MSc degree in plant biology, microbiology, molecular biology, plant pathology, biotechnology, bioinformatics or a related discipline;
- experience with experimental laboratory work or plant experiments;
- a strong interest in plant–microbe interactions and microbiome research;
- an interest in quantitative biology, phenotyping and data analysis;
- the ability to organise research activities effectively, to communicate research findings to different audiences and collaborate across disciplines;
- proficiency in spoken and written English.
Experience with plant pathogens, microbiome sequencing, image-based phenotyping, R/Python, statistics or machine learning is an advantage. We do not expect candidates to already have expertise in all of these areas.
Conditions of employment
- a position for 18 months, with an extension to a total of four years upon a positive assessment in the first 18 months;
- a gross monthly salary starting at € 3,204 in the first year and increasing annually up to € 4,051 in the fourth year, based on full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU));
- 8% holiday pay and 8.3% year-end bonus;
- a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.
In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development, various types of leave, and options for sports and cultural activities. You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University.
Employer
Universiteit Utrecht
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow.
Working at the Faculty of Science means bringing together inspiring people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us on LinkedIn and discover how you can become part of our community.
You will be embedded in the Department of Biology within the Plant-Microbe Interactions group where you will be part of the research team of Dr. Roeland Berendsen.
Additional information
For more information, please contact Dr. Roeland Berendsen at r.l.berendsen@uu.nl.
Do you have a question about the application procedure? Please send an email to science.recruitment@uu.nl.
Candidates for this vacancy will be recruited by Utrecht University.
Working at Utrecht University
At Utrecht University, we work together towards a better future for all of us. You are invited to contribute to a better world. Will you join us?
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