PhD position Statistical Design of Experiments

The Department of Engineering Management of the University of Antwerp is seeking quantitatively oriented candidates for the following full-time position

Doctoral student in the area of statistical design of industrial experiments for quality improvement and product innovation

Project description
Modern products and processes are increasingly complex, which makes it is difficult to determine optimal product formulations and to find optimal settings for production processes. In this research project, we will study methods to construct informative experiments to speed up the optimization of products and processes. The project’s output will consist of new cost-efficient and statistically efficient experimental designs.

Job description

• You prepare a doctoral thesis in the field of statistical design of experiments, within the broader area of applied statistics;
• You contribute to teaching and research in the department.

Profile and requirements

• You hold a master degree in Mathematics, Statistics, Applied Economics, Commercial Engineering, Civil Engineering, Bio-Engineering, Econometrics or a related field;
• You have obtained outstanding academic results, especially for quantitative courses;
• You have a genuine interest in optimization, combinatorics and regression, and you possess good programming skills;
• You have a preference to work on scientifically challenging problems;
• You are a good communicator and have a good command of written and spoken English;
• Your academic qualities comply with the requirements stipulated in the university’s policy ( http://www.ua.ac.be/research );
• You are quality-oriented, conscientious, creative, and cooperative.

We offer

• A doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;
• The start date of scholarship will normally be October 1, 2013, but there is some flexibility regarding the starting date;
• A dynamic and stimulating work environment.

Interested?

• Applications should be submitted by email to peter.goos@ua.ac.be