[DMANET] PhD positions with industry at the Ecole des Mines de Saint-Etienne (site of Provence) / Modeling and optimization in Semiconductor Manufacturing

Several industrial PhD positions are available at the Ecole des Mines de
Saint-Etienne
(Gardanne, France) on semiconductor manufacturing related problems within
projects in cooperation with STMicroelectronics (in Rousset and in
Crolles), one of the worldwide leaders.

Two of the topics are summarized below.
. Optimized management of workshops in semiconductor manufacturing to reduce
variability.
Variability in semiconductor manufacturing processes leads to reduced
productivity
and yield, i.e. the percentage of good chips on a wafer. The goal is
first to
characterize the impact of local management decisions of lots in
workshops on the
various types of variability. Approaches to minimize variability will
then have
to be developed and validated on various industrial settings.
. Advanced Forecasting and Planning Techniques in Semiconductor
Manufacturing
The goal of this thesis is to explore alternative techniques to predict
production volume (i.e. quantities per time period) and schedules of
lots (i.e. single lot trajectories). It includes production planning in
finite capacity by focusing on critical steps (bottlenecks, constraints)
to correctly evaluate future activity and/or the required capacity.

The PhD students will be located either in the site of Rousset (close to
Aix-En-Provence) or Crolles (close to Grenoble) of STMicroelectronics.
The PhD theses will be conducted in cooperation with the research group
"Manufacturing
Sciences and Logistics" of the Center of Microelectronics in Provence
(Ecole des Mines de Saint-Etienne), located in Gardanne (South-East of
France, between Aix-en-Provence and Marseille).

The positions are for three years starting October 1, 2013 or later (exact
date to be discussed).

Applicants must have a Master Degree (or equivalent) in Computer Sciences,
Applied Mathematics, Industrial Engineering or any related discipline.
Applicants should demonstrate good programming skills and knowledge in
combinatorial optimization. Experience on the development of solution
methods for planning or scheduling problems would be appreciated.

Please send your application electronically (preferably as a single pdf
file) including a detailed curriculum vitae and examination results,
plus, if available, a list of reference letters and copies of diploma, to:
Professor Stéphane Dauzère-Pérès,dauzere-peres@emse.fr,
Associate Professor Claude Yugma,yugma@emse.fr.

For further questions regarding the position or details on the research
projects, please contact Stéphane Dauzère-Pérès or Claude Yugma.

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