Research Associate for Intelligent Manufacturing

The University of Manchester; Manchester; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

A leading research university in Manchester is seeking a post-doctoral research associate to develop computational algorithms for robot-assisted additive manufacturing. The ideal candidate will have a PhD and a strong research record in digital manufacturing and programming skills in C++ or Python. This role offers competitive benefits including an exceptional pension scheme and extensive leave entitlement.

Benefits

Market leading Pension scheme

Employee health and wellbeing services

Exceptional starting annual leave

Paid closure over Christmas

Local and national retailer discounts

Qualifications

• PhD required.
• Strong research experience in digital manufacturing.
• Proficiency in programming languages like C++ or Python.
• Experience with robot-assisted manufacturing processes.

Responsibilities

• Develop new computational algorithms and formulations.
• Generate optimized processes and toolpaths for machines.
• Advance digital manufacturing and robotics.

Skills

PhD in Mechanical or Manufacturing Engineering

Strong research record in digital manufacturing

Excellent programming skills in C++ or Python

Experience with robot-assisted manufacturing

Education

PhD

Job description

Overview

This is a research project in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to develop a computational kernel to 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 EPSRC (Engineering and Physical Sciences Research Council).

What you will do

Overall Purpose of the Job

The post-doctoral research associate will engage in developing new computational algorithms and formulations for generating optimised processes, toolpaths and motion of machines while incorporating manufacturing constraints. The role requires constructing approaches that advance digital manufacturing, geometric processing, intelligent mechatronics, or robotics.

Qualifications and skills

What we expect from you

• PhD in Mechanical or Manufacturing Engineering
• Strong research record in digital manufacturing, geometric processing, intelligent mechatronics, or robotics
• Excellent programming skills in C++ (or Python)
• Experience with robot-assisted manufacturing and mathematical formulation

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.

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

Any recruitment enquiries from recruitment agencies should be directed to [e-mail].

Any CV's submitted by a recruitment agency will be considered a gift.

Enquiries

Enquiries about the vacancy, shortlisting and interviews:

Name: Charlie Wang

Email: [e-mail]

General enquiries:

Email: [e-mail]

Technical support:

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

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

Further particulars: Please see the link below for the Further Particulars document which contains the person specification criteria.