Machine Learning Researcher

 Are you experienced in Machine Learning and data science? Would you like to add value to sustainable solutions for a better world? We, Wageningen University & Research (WUR), have a vacancy for a Machine Learning Researcher! Are you our new colleague?


WHAT WILL YOU DO?
As Machine Learning researcher at WUR, you will work within the research institute of Wageningen Food and Biobased Research (WFBR). You will contribute to data-driven solutions for our research in Biobased products and Fresh Food & Chains.

An example: it is difficult to know how the quality of fresh products develops during transportation. When the product arrives at its final destination, its reduced quality may be reflected in a reduced price, or worse: the product is wasted. Imagine that a batch of bananas is harvested in South Africa and transported in containers to the Netherlands. Data on temperature, ethylene and humidity are collected via sensors in the containers. What can you do with this information? The harvesting and transportation conditions can be used to develop a quality prediction model and to advise whether the bananas should already be sold in France - while the quality is still good - or whether they arrive in good shape for sale on the Dutch market. In this way, the prediction model you developed will help to reduce food waste and your knowledge contributes to create a more sustainable world.

Another example: Plant-based products (e.g. soy, pea) can be used after fermentation for specific meat- or dairy alternatives. In the fermentation process, every substrate and strain has different effects on the functionality of the fermented product. Understanding and optimising fermentation processes would traditionally require an experiment for every possible combination and condition. This is very time-consuming and therefore not feasible. By using machine learning in combination with data from previous experiments, predictions can be made about the benefits of new combinations. These predictions will be the foundation for new innovative and sustainable products.

Will it be a challenge? Yes! Do you have to do this on your own? No! You will work together in a team. You will work on multiple different projects where the software development will be done in an Agile way. Knowledge sharing is the key to successful projects and teamwork. To achieve this success, we meet each other multiple times a week in Wageningen.
WFBR is a research institute with funding from market and government parties. To obtain this funding we need to do acquisition. You will also work with our business developers to come up with feasible ideas for innovative solutions. Once a project is granted we expect you to lead it, now or in the future. This will be based on your experience and ambition.
 

We ask

You have:

  • an MSc or PhD in a relevant field such as Artificial Intelligence, computer science, mathematics, etc. added with at least 4 years of work experience (or PhD research) in data science/AI;
  • proven experience in AI methodology: e.g. feature engineering, model selection, model validation, supervised/unsupervised learning, optimization, knowledge engineering, (deep) neural networks, probabilistic methods, statistics, visualizations, time-series analysis, natural language processing;
  • proficient in AI software development:
    • developing and maintaining code in Python using common AI-libraries
    • algorithm and architecture design
    • software testing
    • version management (Git, SVN)
    • database integration (querying SQL / SPARQL);
  • knowledge on semantic technologies such as RDF, RDFs, OWL is a plus;
  • knowledge of the Microsoft Azure cloud platform and API development is a plus.
Besides your technical knowledge, we also expect you to be communicative, fluent in English (C1 level), innovative and a real team player.
 

We offer

Wageningen University & Research offers excellent terms of employment. A few highlights from our Collective Labour Agreement 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, up to 40 hours per week;
  • 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;
  • 8% holiday allowance in May;
  • a fixed December bonus of 4%;
  • excellent pension scheme.

In addition to these first-rate employee benefits, you will of course receive a good salary. We offer, depending on your experience, a competitive gross salary of between €2949,- and €5479,- for a full-time working week of 36 hours, in accordance with the CLA Wageningen Research (scale 10 - 11). Additionally, a contract for 32 hours a week can be discussed.

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 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 at a university that has been chosen as the “Best University” in the Netherlands for the 17th 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.

 

More information

Do you want more information?
For more information about this position, please contact Henk Wensink, R&D Manager, telephone: +31 317 485586 or by e-mail: henk.wensink@wur.nl.
 
For more information about the procedure, please contact Rutger Voorrips, Recruiter, by e-mail: rutger.voorrips@wur.nl or by phone: +31 317 480571.
 
Do you want 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. Please specify your technical skills in your resume so we can see which boxes you tick from our requirements.
This vacancy will be listed up to and including Wednesday 16th 2022.
 
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.

We are

The mission of Wageningen University & Research is “To explore the potential of nature to improve the quality of life”. Under the banner Wageningen University & Research, Wageningen University and the specialised research institutes of the Wageningen Research Foundation have joined forces in contributing to finding solutions to important questions in the domain of healthy food and living environment. With its roughly 30 branches, 7,200 employees (6,400 fte) and 13,200 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 this video to get an idea of our green campus!

We will recruit for the vacancy ourselves, so no employment agencies please. However, sharing in your network is appreciated.

 

Apply now

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