The University of Sheffield
Project Engineer
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Project Engineer – Digital Machining
Location: The University of Sheffield (AMRC partners) Position Type: Full-time Grade: 6 Salary: £32,080 - £36,636 per annum (potential progression to £39,906)
The University of Sheffield, recognised for its world-class research and inclusive culture, invites applications for a Project Engineer role within the Digital Machining team at the Advanced Manufacturing Research Centre (AMRC). Join us to drive innovation in subtractive process modelling, bridging simulation, experimentation, and data analysis for process optimisation in advanced manufacturing.
About the Role
The Digital Machining team welcomes a fast-learning, research-driven individual with a passion for cutting-edge technology, experimental validation, and data-driven decision-making. This role bridges the gap between modelling, simulation, and hands-on testing, ensuring novel subtractive processes are researched, optimised, and translated into practical demonstrations.
You’ll collaborate with industrial partners, PIs, and technical teams to:
- Define and assess subtractive machining modelling solutions for optimisation.
- Manufacture demonstration components showcasing emerging and partner-developed technologies.
- Support research targets in industrial connectivity, data-driven AI/ML applications, and digital process improvement.
No IoT mentor experience? No problem. We prioritise curiosity, adaptability, and a willingness to learn—success comes from project management aptitude, quality adherence, and embracing technical growth.
Occasional travel may be required (mainly within the UK, with potential international trips). This role has direct sector linkages with defence.
Are you ready to push bounds in research and experience impactful advancements? Apply today!
Main Duties & Responsibilities
Technical & Research Support
- Provide technical support for high-impact machining research, focusing on digitalising processes.
- Script and adapt MATLAB/Python tools for data-driven and physics-based modelling.
- Collaborate in developing next-gen CAD, simulation scripts, and data pipelines.
- Conduct experimental testing, post-processing analyses, and statistical assessments.
- Draft technical reports summarising research findings, refining future directions.
Project Execution & Collaboration
- Ensure preparing materials/tooling and equipment set-up align with research goals.
- Preserve experimental fidelity while documenting outputs and deliverables.
- Present findings confidently to internal/external stakeholders at all levels.
- Partner with shop floor staff to refine workflows and manufacturing demonstrations.
- Proactively track progress, escalate issues, and align with project milestones.
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Research & Education Driven
- Plan research activities over short-to-medium-term horizons, mapping to broader strategies.
- Lean into on-job training/module exploration to sharpen engineering, scripting, and project skills.
- Adhere to quality standards, gate review processes, and documentation protocols.
Additional duties may extend to duties necessitated by the position’s mission.
Person Specification
About Our Culture
The University of Sheffield values diversity—your unique skills and background belong here. We honour transferable capabilities along with traditional education. Reference the below criteria in applications when assessing personal alignment.
Criteria
| Essential/Desirable | Stage Assessed | Evaluation Notes |
|---|---|---|
| A STEM degree (or equivalent problem-solving experience) in: Engineering, Physics/Chemistry, Materials Science, Computer Science, or Maths. | Application | Essential: Evidence of technical aptitude (e.g., thesis, projects). Equivalent experiences (e.g., induction programmes) considered. |
| Proficiency in Python, MATLAB, Fortran, or C++ (scripting/development tasks). | Application / Interview | Prior diagnosis/enthusiasm bolstered. |
| Creative problem-solving with foresight—biasing process pathways over immediate hurdles. | Interview | Patience for wicked problems & iterative improvement valued. |
| Clarity in written/verbal communication, tailored to diverse audiences (including policy makers). | Application / Interview | exemplar documentation, verbal feedback habits. |
| Eager hunger for experience/theoretical knowledge, aligned to the academic/training opportunities. | Application / Interview | Commitment to development over titles. |
| Demonstrable practical experimentation, guided by data science principles. | Interview | Hands-on science (wet/labournous, digital-hands, or hybrid) applies. |
| Knowledge of AI », data-driven models, or machine learning applications in engineering. | Interview | All relevant modalities (classic/pioneering). |
| Experience with industrial software/prototyping platforms (e.g., PLM tools'). | Desirable | Extra advantage for hardware-software hackers. |
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Further desirable qualities: Industrial connectivity (e.g. PLCs, PLC protocols), Defence Research/On Security.
Grade, Salary & Allocation
Grade 6: £32,080 - £36,636 pa. Performancebased raise up to £39,906 with exceptional effort.
Employment Model: Full-time.
Line Manager: Technical Fellow. Budget Lines: Linked to Horizon Metrics/FNC wages.
Next Steps
Applications Closing: [Date TBD] Selection Process:
- Interview + presentation component (50 mins; virtual/hybrid preferred).
- Applicants invited 14 days after deadline.
For support, kindly liaise with Javier Dominguez-Caballero (j.dominguez-caballero@sheffield.ac.uk). Reasonable accommodations reviewed for interview arrangements.
University Of Sheffield Benefits
Work-Life Flexibility
✅ 41+ leave days (pro rata; emergency bank Ts of flexible pay allowance). ✅ Hybrid work models tailored for some roles.
Support Schemes
🌿 Generous Pension Match (4% Labor, 10% Employer). 📱 Student/Alumni discounts (Amazon, Apple, Fitness Club etc., plus Amazon Byrd billing). 🗣 Staff outreach networks (e.g., ParentAlly, LGBTQ+) for peer building. 🎖 Recognition Scheme: Awards for innovation & client satisfaction.
Specialty & Family
🔧 Broad training/mentoring (academic career hatching). 👶 Caring leaves (e.g., 70% paid pregnancy/parental leave, 6-months paid mental health sick leave). 💊 Menopause/fertility support (productive initiatives + £12,000 fertility funding).
Access Benefits Dive
For full details: www.sheffield.ac.uk/jobs/benefits
Sheffield’s Core Values
Our inclusion of ‘diversity unguarded’—grounded by academic excellence and collective-eight leadership.
Core Missions:
- Our Academic Vision explains how inclusive communities fuel improvement.
Why Join?
- Impactful research in a world-class team.
- No silos: SMEs toimiate to change industrial norms.
- A wallet and wellbeing offer you work-life balance.
Ready to Shape Tomorrow:
Apply [here], and ready the world!
Further Inquiries
AMRC or Sheffield FAQs via: j.dominguez-caballero@sheffield.ac.uk.
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