Description

As a researcher, you will contribute to the Flemish, European and international environmental policy relating to air quality.

  • You develop models that simulate and predict the presence of pollutants in the atmosphere. These models will be used to support the environmental policy of Flemish and foreign authorities and the industry. Urban air quality is a focus area of the team. 
  • You are responsible for analysing model results and reporting to the client or the end user. Processing of (large) data sets therefore plays an important role.
  • You integrate your knowledge and expertise in collaborative projects with your fellow researchers, report the results of these and publish them in academic journals.
Qualification
  • You have a master's or a degree in engineering in exact or applied sciences.
  • Preferably, you followed an (additional) environmental training course or obtained a relevant doctorate.
  • You have proven experience in research with atmospheric models or other physical mathematical models.
  • You are adept in manipulating large data sets.
  • You have experience in visualising spatial 2D or 3D data.
  • Experience with GIS software would be an advantage.
  • Foreign research experience or experience with policy-supporting research are also nice to haves.
  • You are fluent in English, fluent in Dutch is an advantage but not a requirement.

Offer

  • A competitive salary
  • A range of benefits including allowances, insurances, adjustable holiday package
  • Flexible working hours and workplace
  • Innovation is our core asset, therefore it goes without saying that we give our employees the opportunity to undertake additional training and keep up to date in their field of expertise
  • The chance to be part of an organisation with an international reputation, known for its advanced technological research and scientific consultancy
  • The possibility to actively contribute towards sustainable developments at local, national and global level

Requisition

Location: 
Mol
Jobfield: 
R&D & Engineering
ID: 
24380