Overview
Do you have a thirst for knowledge and a talent for picking up new skills quickly? Do you thrive on a mix of simulation and modelling work, hands‑on experimental testing, and in-depth data analysis? We’re looking for a fast‑learning individual with strong transferable research skills to join our Digital Machining team as a Project Engineer. In this role, you’ll be instrumental in the assessment and application of novel subtractive process modelling solutions for process optimisation. You’ll get to showcase cutting‑edge technologies, both those we develop in‑house and those from our partners, by manufacturing demonstration components and features. Collaboration is key; you’ll work closely with multiple partners, help shape new projects, and deliver complex, well‑defined initiatives. You’ll be supported by experienced Project Managers, Technical Leads, and Technical Fellows, ensuring you have the guidance you need to succeed.
Main Duties and Responsibilities
- Technically support the delivery of high‑quality research in the machining group with a focus on digitalising machining processes.
- Programming and using pre-existing in‑house software/scripts (using MATLAB and Python) for data analysis and modelling.
- Support on generating new scripts using data‑driven and physics‑based models.
- Technically support digitalisation research and development work to improve industrial connectivity and data management.
- Experimental testing, data post‑processing and statistical analysis of data to aid the design of future research methodology and produce useful findings for other industrial partners, funders, policy makers and practitioners.
- Implement and oversee the preparation of materials (work piece, tooling, fixtures, etc.) and set up equipment for experiments that have been designed specifically to meet research objectives and find solutions.
- Write technical reports to summarise key findings and outputs to aid the direction of future research.
- Present data and results to internal and external stakeholders at all levels in a professional and concise manner.
- Develop skills through external or on‑the‑job training, suitable to accomplish the engineering and project tasks required.
- Plan and carry out tasks and responsibilities over the short‑medium term, with an awareness of longer‑term issues to meet the research objectives set in a project.
- Produce detailed and accurate project documentation such as statements of work, experiment methodologies, and quality gate sheets.
- Work alongside the Machining Shop Floor staff to enable smooth transitions of project deliveries and machining demonstrations.
- Update Project Manager and Technical Line Manager with progress reports and escalation of any issues.
- Carry out other duties, commensurate with the grade and remit of the post.
Person Specification
Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn’t match perfectly with this role’s criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.
Essential Requirements
- A STEM degree (e.g., engineering, physics, chemistry, materials science, computer science, mathematics) or equivalent experience demonstrating a robust understanding of scientific principles and problem‑solving.
- Experience with at least one of the following programming languages – MATLAB, Python, C++, or Fortran.
- Ability to creatively analyse and solve problems with an appreciation of longer‑term implications.
- Effective written and verbal communication skills, with the ability to convey complex information clearly to diverse audiences. You should be courteous, positive, and supportive in interactions with others, and comfortable working effectively within both small and large teams.
- A genuine desire to embrace “on‑the‑job” technical guidance and training opportunities to expand your knowledge and capabilities.
- Demonstrable experience in performing practical experimental work guided by data science principles.
- Knowledge in data science and data‑driven modelling such as Artificial Intelligence or Machine Learning.
- Experience in software development.
Desirable Requirements
- Knowledge of control systems (controllers, PLCs, etc.) and industrial connectivity protocols and requirements.
Further Information
- Grade 6
- Salary £32,080 – £36,636 per annum. Potential to progress to £39,906 per annum through sustained exceptional contribution.
- Work arrangement Full‑time
- Line manager Technical Fellow
- Direct reports N/A
- Our website https://www.amrc.co.uk/
What We Offer
We offer a range of benefits such as flexible working, generous pensions, annual leave and other rewards.
- A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
- Flexible working opportunities, including hybrid working for some roles.
- Generous pension scheme.
- A wide range of discounts and rewards on shopping, eating out and travel.
- A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
- Recognition Awards to reward staff who go above and beyond in their role.
- A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.
- A range of generous family‑friendly policies
- paid time off for parenting and caring emergencies
- support for those going through the menopause
- paid time off and support for fertility treatment
- and more
We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.
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