Research Associate for Manufacturing-Oriented Computational Design

Background

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).

Overall Purpose of the Job

The role of the post-doctoral research associate is to engage in developing new computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in Mechanical Engineering and strong research record in computational design, topology optimisation, advanced manufacturing, intelligent mechatronics, or robotics. Excellent skills in C++ programming 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 support an inclusive working environment and welcome applicants from all sections of the community regardless of age, disability, ethnicity, gender, gender expression, religion or belief, sex, 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.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any CVs submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof Charlie Wang

Email: charlie.wang@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support: jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please be aware that due to the number of applications we are unfortunately not able to provide individual feedback on your application.

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