PhD Theses in Semiconductor Manufacturing, EMSE-CMP, Gardanne
Forum 'Emplois' - Sujet créé le 2013-11-20
One industrial and one laboratory 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 (industrial PhD) and LFoundry (laboratory PhD) in Rousset, respectively.
Two topics are summarized below.
. Product status characterization and control based on innovated SPC algorithms.
In semiconductor manufacturing processes, wafer quality evaluation is usually performed through measuring metrology. However, the product status cannot be easily synthesized in current SPC monitoring scheme because of disordered measuring plans in relation to different recipes. The main objective is to consolidate the SPC charts from different processes to make the monitoring scheme concise. Novel but practical SPC algorithms shall be developed and validated on various industrial settings.
. Integration of fab-wide key factors for predictive evaluation of product performance.
Given the fact that the fab-wide variables can be collected in rather different granularity, it's already challenging to consolidate these variables for the control and monitoring of single process operation. The goal of this thesis is to study and develop the methodologies of identifying significant factors throughout the process flow, which shall be then associated with the product performance to deliver operation-by-operation predictive evaluations.
The industrial PhD student will be mainly located in the site of Rousset (close to Aix-en-Provence) of STMicroelectronics while the laboratory PhD student will be located in the research group "Manufacturing Sciences and Logistics" of Center of Microelectronics in Provence (CMP), located in Gardanne (South-East of France, between Aix-en-Provence and Marseille). Both of the PhD theses will be conducted in cooperation with the research group.
The positions are for three years starting January 1, 2014 or later (exact date to be discussed).
Applicants must have a Master Degree (or equivalent) in Industrial Engineering, Applied Statistics or Mathematics, Computer Sciences or any related discipline.
Applicants should demonstrate good programming skills and knowledge in implementing statistical and mathematical algorithms. Experience on the development of data mining techniques and solutions for big data 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 Associate Professor Jakey Blue (lan@emse.fr) and Professor Stéphane Dauzère-Pérès (dauzere-peres@emse.fr).
For further questions regarding the positions or details on the research projects, please contact Jakey Blue.
Two topics are summarized below.
. Product status characterization and control based on innovated SPC algorithms.
In semiconductor manufacturing processes, wafer quality evaluation is usually performed through measuring metrology. However, the product status cannot be easily synthesized in current SPC monitoring scheme because of disordered measuring plans in relation to different recipes. The main objective is to consolidate the SPC charts from different processes to make the monitoring scheme concise. Novel but practical SPC algorithms shall be developed and validated on various industrial settings.
. Integration of fab-wide key factors for predictive evaluation of product performance.
Given the fact that the fab-wide variables can be collected in rather different granularity, it's already challenging to consolidate these variables for the control and monitoring of single process operation. The goal of this thesis is to study and develop the methodologies of identifying significant factors throughout the process flow, which shall be then associated with the product performance to deliver operation-by-operation predictive evaluations.
The industrial PhD student will be mainly located in the site of Rousset (close to Aix-en-Provence) of STMicroelectronics while the laboratory PhD student will be located in the research group "Manufacturing Sciences and Logistics" of Center of Microelectronics in Provence (CMP), located in Gardanne (South-East of France, between Aix-en-Provence and Marseille). Both of the PhD theses will be conducted in cooperation with the research group.
The positions are for three years starting January 1, 2014 or later (exact date to be discussed).
Applicants must have a Master Degree (or equivalent) in Industrial Engineering, Applied Statistics or Mathematics, Computer Sciences or any related discipline.
Applicants should demonstrate good programming skills and knowledge in implementing statistical and mathematical algorithms. Experience on the development of data mining techniques and solutions for big data 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 Associate Professor Jakey Blue (lan@emse.fr) and Professor Stéphane Dauzère-Pérès (dauzere-peres@emse.fr).
For further questions regarding the positions or details on the research projects, please contact Jakey Blue.