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Term Adjunct Position - CHEE 820 Fall 2018

Department of Chemical Engineering, Queen's University
May 31, 2018

The Department of Chemical Engineering at Queen’s University requests applications from suitably qualified candidates interested in teaching the following graduate course in the 2018 Fall Term. 

 

 

CHEE 820 Topics in Advanced Process Control – Multivariate Statistical Analysis and Applications (Winter 2018) September 1 to December 31, 2018

 

Qualifications:

Minimum of a M.A.Sc. in Engineering or a related field, and expertise in multivariate statistics and statistical analysis of chemical processes. Experience in the industrial application of multivariate statistical techniques will be considered an asset. Previous teaching experience at the University level will be preferred. Candidates should have excellent communication and presentation skills. Membership in a Canadian Professional Engineering organization such as PEO would be an asset.

 

Course Description: CHEE 820 Topics in Advanced Process Control – Multivariate Statistical Analysis and Applications (Fall 2018)
Today, due to advances in computers, massive amounts of data are collected. These data are difficult to analyze with classical statistical techniques due to the many variables and their interrelations. Multivariate statistical methods are employed to analyze these data in a wide spectrum of sciences such as business economics, sociology, chemical engineering, biology, and medicine among others. The course will cover topics of basic multivariate analysis such as multivariate mean and variance analysis, T-hotelling, multinormal and Wishart distributions, and multivariate linear regression. Emphasis will be given to two advanced multivariate methods: principal component analysis and partial least squares. These are considered among the best statistical methods to analyze multivariate data and for extracting information. In depth analysis of these techniques will be provided both from theoretical and practical viewpoints. The aim of the course is to provide the statistical depth and understanding of these multivariate techniques for their successful application in data analysis, and for their extensions to process monitoring, product development, and image analysis. Participants must know basic statistics (probability, hypothesis testing) and matrix algebra and are encouraged to bring in their own data sets. This is the best way for participants to relate the new statistical techniques to their own work experience.

 

Expected Enrolment: 4 – 10 students

 

Type: Seminar

 

The above-advertised course will be taught on campus. Fall term classes begin September 6 and end November 30, 2018. The fall term examination period is December 5-20, 2018.

The University invites applications from all qualified individuals. Queen’s University is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, Aboriginal people, persons with disabilities, and LGBTQ persons. All qualified candidates are encouraged to apply; however, Canadians and permanent residents of Canada will be given priority. Academic staff at Queen’s University are governed by a collective agreement between QUFA, www.qufa.ca and Queen’s University.

The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant’s accessibility needs. If you require accommodation during the interview process, please contact Tanya Ligthart, ligthart@queensu.ca (613) 533-6000 extension 74528.

To comply with Federal laws, the University is obliged to gather statistical information about how many applicants for each job vacancy are Canadian citizens/permanent residents of Canada. Applicants need not identify their country of origin or citizenship, however, all applications must include one of the following statements: I am a Canadian citizen/permanent resident of Canada; OR, I am not a Canadian citizen/permanent resident of Canada. Applications that do not include this information will be deemed incomplete.

Applications should include a complete and current curriculum vitae, a statement of teaching experience, the names and contact details of two referees, and any other relevant materials the candidate wishes to include for consideration. Applications can be submitted to the Term Adjunct Appointments Committee at the address below, or by e-mailing Tanya Ligthart at ligthart@queensu.ca . Applications should be submitted by midnight in Kingston on June 21, 2018.

 

Chemical Engineering Term Adjunct Appointments Committee c/o Tanya Ligthart
The Department of Chemical Engineering
Room 201, Dupuis Hall

19 Division Street
Queen’s University, Kingston, Ontario K7L 3N6 613-533-2765