At a Glance
- Tasks: Develop digital twin models and analyse data for advanced manufacturing processes.
- Company: Brunel University London, a leading research-intensive technology university.
- Benefits: Competitive salary, generous leave, training opportunities, and a great pension scheme.
- Other info: Collaborate with industry partners and enjoy a hybrid working approach.
- Why this job: Join an innovative project at the forefront of digital manufacturing and metallurgy.
- Qualifications: PhD or relevant degree in Materials Science, Engineering, or related fields.
The predicted salary is between 36640 - 44679 € per year.
Brunel University London is seeking a highly motivated Research Assistant/Fellow (PDRA) to join BCAST, a leading UK research centre in advanced materials and manufacturing. You will play a key role in the DIGI-HSMC project, an ambitious collaborative programme developing next-generation High Shear Melt Conditioning (HSMC) systems enhanced with digital twin technology, real-time sensing, and intelligent process control.
Location: Brunel University London, Uxbridge Campus
Salary:
- Research Assistant: from £36,640 to £38,638 inclusive of London Weighting with potential to progress to £39,682 per annum inclusive of London Weighting through sustained exceptional contribution.
- Research Fellow: from £40,757 to £44,179 inclusive of London Weighting with potential to progress to £52,067 per annum inclusive of London Weighting through sustained exceptional contribution.
Hours: Full-time
Contract Type: Fixed term 10 months
BCAST is a world-leading research centre in solidification science and lightweight metals, offering state-of-the-art facilities including advanced microscopy, thermal processing systems, and digital modelling capabilities. The centre has a strong track record in industrial collaboration and technology translation.
The Role
This is an opportunity to work at the intersection of metallurgy, digital manufacturing, and industrial innovation, with strong engagement with industry partners. The key responsibilities include, but are not limited to:
- Develop and implement digital twin models for molten metal processing
- Integrate and analyse data from various sensors such as temperature, torque, and acoustic sensors
- Perform advanced materials characterisation (e.g. SEM, hardness testing, microstructural analysis) to validate process outcomes
- Support development and validation of physics-informed machine learning models for process optimisation
- Support experimental trials and validation in laboratory and industrial environments
- Collaborate with academic and industrial partners to refine system performance
- Contribute to the development of a digital materials knowledge base linking process parameters to performance outcomes
- Prepare technical reports, publications, and presentations for both academic and industrial audiences.
The candidate
You will have:
- A PhD or relevant degree in Materials Science, Metallurgy, Mechanical, Computer Engineering, Manufacturing, or a related discipline
- Experience in at least two of the following:
- Digital twins or process modelling
- Sensor systems and data acquisition
- Metallurgy, casting, or thermal processing
- Strong programming skills (e.g. Python, MATLAB, LABVIEW or similar)
- Interest or experience in data-driven methods, machine learning, or digital manufacturing
- Ability to work across experimental and computational environments
- Excellent communication and teamwork skills
Desirable:
- Experience in AI/ML for industrial processes
- Knowledge of metal casting or melt processing
We offer a generous annual leave package plus discretionary University closure days, excellent training and development opportunities as well as a great occupational pension scheme and a range of health-related support. The University is committed to a hybrid working approach.
Closing date for applications: 25 May 2026
If you have any technical issues, contact us at: hrsystems@brunel.ac.uk
Brunel University London has a strong commitment to equality, diversity and inclusion. Our aim is to promote and achieve a fully inclusive workforce to reflect our community.
Research Assistant/Fellow in Digital Twin for Advanced Manufacturing employer: Brunel University London
Brunel University London is an exceptional employer, offering a dynamic work environment at the forefront of advanced materials and manufacturing research. With a strong commitment to employee development, generous benefits including a robust pension scheme, and a culture that values diversity and inclusion, you will thrive in a collaborative setting that encourages innovation and professional growth. Located at the Uxbridge Campus, you will have access to state-of-the-art facilities and the opportunity to engage with industry partners on cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant/Fellow in Digital Twin for Advanced Manufacturing
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Brunel University London on LinkedIn. A friendly chat can give us insider info about the team and the work culture, plus it might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into the DIGI-HSMC project. Familiarise yourself with digital twin technology and how it applies to advanced manufacturing. Showing that you know your stuff will impress the hiring team!
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interview, shoot a quick thank-you email to express your appreciation for the opportunity. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have updates and tips on our site that can help you stand out in the process.
We think you need these skills to ace Research Assistant/Fellow in Digital Twin for Advanced Manufacturing
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Research Assistant/Fellow. Highlight relevant experience in digital twins, sensor systems, and materials science. We want to see how your background aligns with the DIGI-HSMC project!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about advanced manufacturing and how you can contribute to our team. Be specific about your skills in programming and data analysis, and don’t forget to mention any collaborative projects you've been part of!
Showcase Your Technical Skills:Since this role involves advanced materials characterisation and machine learning, make sure to showcase your technical skills clearly. Include any relevant projects or experiences that demonstrate your expertise in Python, MATLAB, or similar tools.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands and allows us to keep track of all applicants efficiently!
How to prepare for a job interview at Brunel University London
✨Know Your Digital Twins
Make sure you understand the concept of digital twins and how they apply to advanced manufacturing. Brush up on your knowledge of High Shear Melt Conditioning systems and be ready to discuss how you can contribute to the DIGI-HSMC project.
✨Showcase Your Technical Skills
Prepare to demonstrate your programming skills, especially in Python or MATLAB. Bring examples of past projects where you've used these skills, particularly in relation to sensor systems or data acquisition, as this will show your hands-on experience.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to collaborate with both academic and industrial partners, so being able to communicate effectively is key. Think about how you would present your research findings to a non-technical audience.
✨Prepare Questions
Have a list of insightful questions ready for your interviewers. Ask about the specific challenges they face in the DIGI-HSMC project or how they envision the role evolving. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
