sustainable simulation and optimization algorithms for Computerized Numerical Controlled (CNC)
We seek an outstanding graduate to work on sustainable simulation and optimization algorithms for Computerized Numerical Controlled (CNC) machining technologies, to support smart factory applications. Essential tasks for the research include modeling and experimental test for machining processes, theoretical analysis, and system programming for the sustainable machining algorithm implementation. The candidate is expected to have a good technical background in 3-dimensional Mechanical Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) systems, and programming skills using C++ and Java to interact with the 3D CAD/CAM systems for algorithm implementation.
You will have:
• A minimum of a 2:1 first degree and a Master degree with overall marks at merit level 60% in Mechanical Engineering, Manufacturing Engineering, Computer Engineering and/or Industrial Engineering with a minimum 60% mark in the Project element.
• Possess a good knowledge of 3-dimensional Mechanical Computer Aided Design/Computer Aided Manufacturing (CAD/CAM) systems, and programming skills using C++ and Java to interact with the 3D CAD/CAM systems for algorithm implementation.
• Experience to model manufacturing systems and applications, and design related experimental tests and conduct theoretical analysis. Have a willingness to quickly learn new skills and knowledge in relevant research areas and would take research challenges.
• The potential to engage in innovative research and complete the PhD within a three year period.
Application Procedure:
For an application form please click here.
Complete the application form and return with a covering letter to:
Research Recruitment and Admissions team
RAO
Student Centre
Coventry University
Priory Street
COVENTRY
CV1 5FB
United Kingdom
Email:
research-apps.pg@coventry.ac.uk
Informal enquiries may be addressed to Prof Weidong Li.
studentships are available to commence during academic year 2014/15- start date will be specified to successful candidates
Funding Notes:
Award Details: Tuition Fees + Bursary £13863 per year (tax-free)
Duration: 3 years Fixed Term (Sept 2014 start)
علاقه مندی ها (Bookmarks)