Flanders Make is the strategic research centre for the manufacturing industry. From our sites all over Flanders, we stimulate open innovation through excellent research. In addition, companies can work together with us in a custom innovation traject. Finally, we also offer an extensive range of testing and validation infrastructure for your products or production.
Our goal is to contribute to the technological development of the vehicles, machines and factories of the future. By doing so, we create added value for the manufacturing industry. Together we help companies innovate better and faster. In addition, we attach great importance to international cooperation in the field of innovation and to participation in European research projects.
Today Flanders Make counts 600 researchers who work full-time as a unique research community on a joint industrial research agenda.
We operate from our offices in Leuven, Lommel, Kortrijk and Sint-Truiden
In a first phase, it is your task to define the problem in more concrete terms. Many design problems are essentially about mapping knowledge about imposed constraints and multiple objectives. In a next phase, you focus on solving the problem by creating a formal algorithm or optimisation model that correctly deals with these constraints and objectives.
As Researcher Optimisation for Industrial Designs, you will more in particular:
- Work together within a research team with expertise in model-based engineering, structural analysis and optimisation, continuous and discrete optimisation, functional safety, digital twins, embedded software and IoT;
- Create and solve (Pareto) optimisation issues using exact methods or heuristics (e.g. mixed-integer programming, genetic algorithms...);
- Program and implement these methods (Python, CAD software, Matlab, Simulink) and, subsequently, test and verify the performances;
- Cooperate with companies and PhD students, both for a concrete definition of the problem at hand and during the development works. You continuously keep in touch with all your stakeholders. You want to know more about their relevant context;
- Valorise your results. You will disseminate your knowledge and developments both internally and externally through conferences, papers and (internal) demos.
Experienced applicants will also coach young researchers and lead projects.
A Master's or PhD degree in Engineering Sciences (Computer Sciences, Mathematics or Applied Mathematics, Statistics or another relevant discipline;
- Industrial and/or academic expertise in optimisation issues;
- A keen interest in applying theoretical concepts to practical case problems;
- Good social skills to deal with stakeholder management during your developments.
- Experience with applications on machines and/or vehicles or affinity with optimisation solvers and modelling software (e.g. Python, CAD software, Matlab, Simulink) are considered additional assets.
Please apply with your CV and cover letter by the 'apply' button below
Remember - you found this opportunity on Qreer.com
Education Backgrounds: |
Industrial Engineering Mathematics Software Engineering |
Specialties: |
Algorithms App Development Application Development Big Data CAE / CAD / CAA |
Education Level: |
Postgraduate (Masters) Doctorate (PH.D) |
Experience: |
10 - 15 years 2 - 5 years 5 - 10 Years |
Languages spoken: |
Dutch English |
Job Location: | Leuven, Belgium |
To apply for this position you will be taken to the recruiter's website. Please click Next below to continue.
NextType: Job
Deadline: 10th June 2022
Job reference (ID): 19164
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