Description
High performance computational algorithms for efficient code with modern multicore architectures. Introduction to parallel numerical algorithms for linear-algebra problems, novel low and mixed-precision floating-point methods, data assimilation and optimization techniques, gridding approaches, and machine learning algorithms. Emphasis is on the mathematical / numerical theory, programming concepts, and algorithm implementation. Engineering applications aimed at mainly (but not exclusively) mechanics (solid mechanics, fluid mechanics, energy methods etc.). Other applications could also be considered based on the background and interest of the attendees.
Posting limited to :
Professeur à temps-partiel régulier / Regular Part-Time Professor
Date Posted : June 04, 2024
Closing Date : July 05, 2024
Note : Applications will be accepted until 11 : 59 PM on the day prior to the Posting End Date above
Expected Enrolment : Approval date :
June 04, 2024
Number of credits : Work Hours :
Course type :
Posting type :
Régulier / Regular
Language of instruction :
Anglais | English
Competence in second language :
Passive
Course Schedule :
À déterminer | TBD - - -
Requirements :
PhD in Mechanical Engineering or related discipline with specialization. Must have a strong background and demonstrable expertise in the subject matter.
Candidates must have a background in mechanical engineering and be licensed or eligible for licensing as a professional engineer in one of the provinces of Canada.
Instruction mode :
Courses will be taught using an online platform. Please note that the teaching or work method may change due to health measures or other reasons. Acquisition of skills for effective online teaching is strongly encouraged.
Additional Information and / or Comments :
An acceptable level of education and / or experience could be viewed as being equivalent to the educational required and / or demonstrated experience.