Research Associate in Manufacturing-Oriented Computational Design
Develop advanced computational tools for optimising robot-assisted additive manufacturing processes.
Best for:Best for researchers with a PhD in Mechanical or Industrial Engineering and expertise in computational design, advanced manufacturing, and C++ programming.
Overview
This Research Associate position at The University of Manchester focuses on advancing computational design for robot-assisted additive manufacturing. The project aims to create a computational kernel capable of generating optimised structures and toolpaths, adapting dynamically to material accumulation directions. Based in the Digital Manufacturing Lab within the Department of Mechanical and Aerospace Engineering, the role involves collaborative research, proposal development, and publication of findings. The position is funded by The University of Manchester and the UK Engineering and Physical Sciences Research Council (EPSRC).
What you'll do
- Develop research objectives and proposals for individual or collaborative projects with guidance from mentors.
- Conduct independent and collaborative research to advance computational design for additive manufacturing.
- Write research findings for publication in academic journals and conferences.
- Prepare funding proposals and applications for external bodies.
- Plan and manage research activities in collaboration with team members.
Requirements
Degree required: PhD (or equivalent) in Mechanical Engineering, Industrial Engineering, or a related field.
Language: English; proficiency required for academic communication and collaboration
Instruction: English
- Specialist knowledge in computational design, advanced manufacturing, intelligent mechatronics, or robotics
- Proficiency in C++ programming
- Strong mathematical formulation skills
- Excellent communication and interpersonal skills
- Ability to work independently and collaboratively
- No explicit eligibility restrictions beyond degree requirements.
Funding & terms
How to apply
Deadline: 2026-10-21
Applicants must submit their CV, cover letter, and any relevant research documentation through the university’s online application portal. Ensure all documents are prepared in advance for a seamless submission process.
- CV
- Cover letter
- Research statement or proposal (if applicable)
- Transcripts of academic qualifications
Contact
Charlie Wang· Contact for role inquiries
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