Ph.D. position @ University of Antwerp
At the University of Antwerp (Belgium),
there is a vacant position for a pre-doctoral researcher at the Department of Environment, Technology
and Technology Management in the Faculty of Applied Economics. The ideal candidate
has a good background in statistics and mathematics, including good programming
skills and a good command of the English language.
The position is meant to conduct research on the algorithmic construction of
optimal designs of experiments. The work, which involves the implementation of
operational research ideas in optimal experimental design, will be carried out
in close collaboration with Peter Goos and Kenneth Sörensen. The candidate is
expected to enroll the university's Ph.D. program and to obtain a Ph.D. at the
end of the project. A short project description can be found below.
We offer a three-and-a-
net monthly grant of about 1700 euro, and a stimulating working environment in
a lively cosmopolitan city.
For more information, please contact peter.goos@ua.
Short project description:
Innovation and quality improvement are crucial for businesses and industries in
today's world of global competition: only innovative, top-quality products and
process technology can provide companies with a strategic competitive advantage
and guarantee a leading technological position. The purpose of this project is
to develop a framework for supporting product and process innovation through
designed experimentation that guarantees a reduced time-to-market, enhanced
customer satisfaction, increased market share and acceptably low cost of
production. The framework will also be useful for the improvement of existing
products, processes and services.
Many sorts of businesses experience similar problems in the early stages of a
product's or process's life cycle. Sooner or later, they are confronted with
the need to investigate the impact of several parameters on products, processes
and consumers. More often than not, their studies must be carried out under an
enormous time pressure so as to keep the time-to-market limited and maintain or
acquire first-mover advantages if possible. This calls for a coherent generic
scientifically-
innovation.
Optimal design of experiments is such an approach. However, the construction of
optimal experimental designs involves solving complex combinatorial
optimization problems. This interdisciplinary research project is intended to
implement state-of-the-
optimization from operational research (where, for instance, vehicle routing
problems, assignment problems and project planning problems are studied) in
optimal design of experiments.
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