"Research Associate for Intelligent Manufacturing"

This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure and toolpaths for robot-assisted additive manufacturing with dynamically changed material accumulation directions. This research will be conducted in the School of Engineering at the University of Manchester, and is funded by the University of Manchester and the UK Engineering and Physical Sciences Research Council (EPSRC).

The role of the post-doctoral research associate is to engage in developing new computational algorithm and formulation for generating optimised process, toolpath and motion of machines while incorporating the manufacturing constraints. Candidate should have a PhD degree in Mechanical / Manufacturing Engineering and strong research record in digital manufacturing, geometric processing, intelligent mechatronics, or robotics. Excellent skills in C++ (or Python) programming, robot-assisted manufacturing and mathematics formulation are expected.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here.

Hybrid working arrangements may be considered.