Wageningen University & Research seeks a Data modelling analyst who wants to help to solve impactful problems in the food safety domain.
The school is offering an interesting and dynamic position as a modelling scientist, covering different food safety topics, within a team of highly-skilled, enthusiastic, multicultural, and engaged colleagues. Above all, they offer candidates the environment to develop their skills and learn from the best.
Tasks
In the tasks for this position, applicants will:
- be part of the research group that investigates the impacts of the global and societal changes on food safety in the food supply chain.
- contribute to the development and implementation of methods for risk-based food safety monitoring, decision support, and monitoring tools to predict and prioritize known and unknown hazards in the food supply chain.
- use a variety of modelling approaches whereby using different datasets to develop quantitative prediction models.
- work in different ongoing research projects involving kinetic, biological, and simulation modelling.
- also contribute to the writing of new project proposals and of scientific publications. And
- help to answer scientific questions and provide insights to food safety authorities and other stakeholders we work with.
Salary
the Data modelling analyst position offers;
- a competitive gross salary of between €2908 and €4624;
- 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;
- a fixed December bonus of 4%;
- excellent pension scheme.
Job Requirements
For the data modelling analyst position, seek:
- Expertise in quantitative analyses of complex data originating from different sources
- An applicant with a relevant MSc or PhD in for example food science, computer science, data science, statistical modelling, industrial engineering or any other relevant background.
- Expertise in simulation, biological and/or kinetic modelling
- Experience with Excel incl @RISK, Python, R
- Affinity with food production and food safety, understanding of the food production chain is a plus.
- Good communication skills in English (C1 level), both written and verbally, and the ability to work in multi-disciplinary teams and projects.
- Solid scientific basis with the ability to identify relevant issues and formulate practical recommendations and solutions.
- Good scientific writing skills, with a proven track record.
Application Process
To apply as a Data modelling analyst, click here
Application Deadline: Unspecified
For more information on Data modelling analysts, visit the official site.
