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Post-doc on Machine learning for Digital Future Farm Twins

We are looking for an enthusiastic and highly-motivated postdoc to work on a multidisciplinary research project on machine-learning methods for enabling data- …

2 maanden geleden


Droevendaalsesteeg, Wageningen, Gelderland
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 - 38 uur


We are looking for an enthusiastic and highly-motivated postdoc to work on a multidisciplinary research project on machine-learning methods for enabling data-driven decisions at a farm level, from yield prediction to fertilizer optimization. You will be part of the Digital Future Farm project, a flagship project of Wageningen University and Research, working together with field experts from several science groups, and contribute to new understanding on emerging data-driven innovations for agricultural production .

The main goal of the Digital Future Farm project is to create a "digital twin" of arable and dairy farms able to mimic farm process interactions, and allow for the exploration of interventions. To achieve this aim, the project will pull together multifaceted, multiscale data (from remote sensing, IoT sensors, farm-management systems) and process-based models in a common infrastructure. Part of the project ambition is to investigate to what extent machine learning and deep learning models can improve decision-making at a farm-level. Using real and simulated data you will be challenged to design and implement machine learning pipelines for estimating farm yields and nutrients application, and evaluate their performance using the Digital Future Farm project case studies. Your overarching ambition will be a methodological contribution in the area of machine learning applications for farm-level decision making.

The candidate will be hosted with the Geo-Information Science and Remote Sensing Laboratory at Wageningen University. Check out our page with news, recent publications and projects. We are searching for a highly motivated, proactive, and enthusiastic candidate, with a strong drive to work in a multidisciplinary team and have excellent communication skills.


  • You have a PhD in machine learning, artificial intelligence or data science, and interest to apply your knowledge to the agricultural domain, or;
  • A PhD in natural sciences with strong background in data-driven modelling using machine learning
  • You are able to work both independently and as part of a team.
  • You have a good record of accomplishment in your field, evidenced by high-quality publications.
  • Ability to present research to colleagues.
  • Ability to write effective scientific papers.
  • You like to collaborate with, and work in, interdisciplinary research teams.
  • You are a team player with good organisational and communication skills.


Wageningen University & Research offers excellent terms of employment. A few highlights from our Collective Labour Agreement include:
  • sabbatical leave, study leave, and paid parental leave;
  • working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
  • the option to accrue additional holiday hours by working more, up to 40 hours per week;
  • 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 December bonus of 8.3%;
  • excellent pension scheme.
In addition to these first-rate employee benefits, you will of course receive a good salary. Depending on your experience, we offer a competitive gross salary of between € 2.790,-and € 5.127,- for a full-time working week of 38 hours, in accordance with the Collective Labour Agreements for Dutch Universities (CAO-NU) (scale 10-11).

Wageningen University & Research encourages internal advancement opportunities and mobility with an internal recruitment policy. There are plenty of options for personal initiative in a learning environment, and we provide excellent training opportunities. We are offering a unique position in an international environment with a pleasant and open working atmosphere.

You are going to work at the greenest and most innovative campus in Holland, and at a university that has been chosen as the "Best University" in the Netherlands for the 16th consecutive time.

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. Applicants from abroad moving to the Netherlands may qualify for a special tax relief, known as the 30% ruling. 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. Wageningen University & Research's International Community page contains practical information about what we can do to support international employees and students coming to Wageningen. Furthermore, we can assist you with any additional advice and information about helping your partner to find a job, housing, schooling, and other issues.

Additional information

Please contact dr. Ioannis Athanasiadis (ioannis.athanasiadis@wur.nl) for more information.

For more information about the procedure, please contact Edgar Tijhuis, corporate recruiter, edgar.tijhuis@wur.nl

You can apply up to and including 31 August 2021 by uploading your motivation letter and CV.

Check the WUR website about the Investment Theme "Digital twins" and the Digital Future Farm project: https://www.wur.nl/en/newsarticle/WUR-is-working-on-Digital-Twins-for-tomatoes-food-and-farming.htm

Equal opportunities
Wageningen University & Research (WUR) employs a large number of people with very different backgrounds and qualities, who inspire and motivate each other. We want every talent to feel at home in our organisation and be offered the same career opportunities. We therefore especially welcome applications from people who are underrepresented at WUR. For more information please go to our inclusivity page. A good example of how WUR deals with inclusiveness can be read on the page working at WUR with a functional impairment.