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Are you ready to join Wageningen Food Safety Research (WFSR) and help to improve the safety and security of our food and thereby improving public health?

You will be part of a group that investigates the impacts of the global and societal changes on food safety and food security. You will contribute to the development and implementation of risk-based assessment, decision support, and monitoring tools to predict and prioritize known and unknown hazards in the food supply chain.

You will work in different ongoing research projects involving machine learning, deep learning, and computer vision. You will work in multiple projects and will write scientific publications. You will help to answer scientific questions and provide insights to food safety authorities and other stakeholders we work with.

We offer an interesting and dynamic position as a scientific researcher, covering different food safety and security topics, within a team of highly skilled, enthusiastic, multicultural, and engaged colleagues. Above all, we offer you the environment to develop your skills and learn from the best.

You will work here

In addition, we collaborate with many national and international partners in a variety of projects funded among others by the European Commission and the European Food Safety Authority. We are part of Wageningen University & Research (WUR).

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

• working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
• the option to accrue additional compensation hours by working more;
• sabbatical leave, study leave, and partially paid parental leave;
• 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.

Additionally, a contract for 32 hours a week can be discussed. You will initially receive a two-year contract.

We are offering a multi-faceted 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 with your work you have a clear and positive impact on society. At WUR we work on the most pressing challenges of our time, like climate change and feeding the world in a sustainable way.

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.

With its roughly 30 branches, 7,600 employees (6,700 fte) and 13,100 students and over 150,000 participants to WUR’s Life Long Learning, Wageningen University & Research is one of the leading organisations in its domain. The unique Wageningen approach lies in its integrated approach to issues and the collaboration between different disciplines.

Read the 5 reasons why your future colleagues enjoy working at WUR and watch the video below to get an idea of our green campus!

• A Ph D degree in data science, artificial intelligence, or a related field;
• expertise in quantitative analyses of complex data originating from different sources, using machine learning and deep learning;
• proven publication track record in scientific journals or conference proceedings;
• hands-on experience in developing and deploying machine learning applications.
• experience or affinity with the intersection between climate change, biodiversity, and food security / safety;
• good communications skills in English, both written and verbally, and a track-record of working in multi-cultural and multi-disciplinary teams and projects.

In our international working environment there is an increasing amount of communication in English. For this position it is about language level C1.

For more information about this position, please contact Bas van der Velden, teamlead datascience, by e-mail bas.vandervelden@wur.nl.

For more information about the procedure, please contact Rutger Voorrips, corporate recruite, by e-mail; rutger.voorrips@wur.nl.

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.

This vacancy will be listed up to and including October 14th, 2024. Don’t wait with your application. As soon as we have suitable candidates, we will initiate the first interviews.

As part of our selection process, an assessment may be incorporated within the procedure

Equal opportunities

We therefore especially welcome applications from people who are underrepresented at WUR. A good example of how WUR deals with inclusiveness can be read on the page working at WUR with a functional impairment.