Post Doc in Machine learning for Digital Future Farm Twins
Wageningen University

Post-doc on Machine learning for Digital Future Farm Twins

Location Wageningen

We are looking for

Are you a highly-motivated and hardworking scientist with a background in machine learning, artificial intelligence or data science? Eager to further develop and apply your expertise to innovations in agriculture at the world #1 university for agriculture? And are you known to be good communicator and great teammate? Then, you could be the ideal candidate!

We are recruiting a new 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.

As part of the Digital Future Farm project, a flagship project of Wageningen University and Research, you will work together with specialists from several science groups, and contribute to new understanding on emerging innovations for agricultural production. More about the investment theme “Digital twins” and this research project can be found here.

The main goal of the Digital Future Farm project is to build 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. 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. As postdoc, your workplace will be the Geo-Information Science and Remote Sensing Laboratory. Check out our page with news, recent publications and projects.

We ask

  • A PhD in either machine learning, artificial intelligence or data science, and interest to apply your knowledge to the agricultural domain, or;
  • A PhD in natural sciences with a strong background in data-driven modelling using machine learning
  • You are able and motivated 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 and write effective scientific papers.
  • Strong interest to collaborate with, and work in, interdisciplinary research teams.
  • Good organizational skills and a smooth style of communicating

We offer

An exciting position for 24 months with, depending on your experience, a competitive salary from a minimum of € 2709 to a maximum of € 4274 for a full working week of 38 hours in accordance with the Collective Labor Agreement Wageningen University (scale 10). The position is available from Sept 1st 2020. There is also a chance to further extend this position, depended on acquisition of additional funding.

In addition, we offer:

  • 8% holiday allowance
  • a structural end-of year bonus of 8.3%
  • excellent training opportunities and secondary employment conditions
  • flexible working hours that we determine together in good consultation
  • excellent pension plan through ABP
  • 232 vacation hours, the option to purchase extra and good supplementary leave schemes, e.g.
  • the possibility to work 2 hours per week extra for extra leave
  • a flexible model to put together part of your employment conditions yourself, such as a bicycle plan
  • a lively workplace on the Wageningen Campus
  • make use of the sports facilities on campus for a small fee.
Wageningen University & Research stimulates internal career opportunities and mobility with our internal recruitment policy. There are ample opportunities for personal initiative in a learning environment. With us you get a versatile job in an international environment with a pleasant and open working atmosphere.

More information

For more information about this function you can get in touch with dr. Ioannis Athanasiadis, e-mail:

For more information about the procedure you can contact Edgar Tijhuis, corporate recruiter, e-mail:

Do you want to apply?

This can be done directly via the application button at the vacancy on our website so that we can process your personal data with your permission. This vacancy is open until 30 June 2020. We will plan the first job interviews soon afterwards.

We are

The mission of our University is to explore the potential of nature to improve the quality of life. Nine specialised research institutes from the Wageningen Research Foundation and Wageningen University have joined forces to help answer the most important questions in the domain of healthy food and living environment.

With approximately 30 locations, 6,500 employees, and 12,000 students, it is one of the leading organisations in its domain worldwide. A coordinated approach to problems and the cooperation between various disciplines are at the heart of the unique approach of Wageningen. We have been named Best Employer in Education category 2019-2020.

Click here for more information about working at Wageningen University & Research. And for a preview of our green campus, watch this video.

We are the Laboratory of Geo-Information Science and Remote Sensing of Wageningen University. Our fundamental research and education concerns our living environment: nature, landscape, land use, mitigation and adaptation to climate change, water management, and various claims on space. The laboratory is very international in terms of staff and student composition, and has a strong team on the interface between environmental sciences and machine learning led by Prof. D. Tuia.

We are an employer that offers equal opportunities. We are happy to receive applications from all suitably qualified people regardless of race, gender, functional impairment, religion / belief, sexual orientation or age. We believe that a diverse and inclusive working environment makes us a more relevant, competitive and resilient organization. Read more here about working at WUR with a functional impairment.

If you apply for this position please say you saw it on Computeroxy


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