Find a job 
Featured Companies 
Featured Universities 
For Companies 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: Hybrid working approach with excellent career development opportunities.
- Why this job: Join an innovative project shaping the future of manufacturing with cutting-edge technology.
- 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:
- Grade R1 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
The Role:
You will be responsible for:
- Developing and implementing digital twin models for molten metal processing.
- Integrating and analysing data from various sensors such as temperature, torque, and acoustic sensors.
- Performing advanced materials characterisation (e.g. SEM, hardness testing, microstructural analysis) to validate process outcomes.
- Supporting development and validation of physics‑informed machine learning models for process optimisation.
- Supporting experimental trials and validation in laboratory and industrial environments.
- Collaborating with academic and industrial partners to refine system performance.
- Contributing to the development of a digital materials knowledge base linking process parameters to performance outcomes.
- Preparing technical reports, publications, and presentations for both academic and industrial audiences.
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 - 16864 in Uxbridge employer: Brunel University of London
Contact Detail:
Brunel University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant/Fellow in Digital Twin for Advanced Manufacturing - 16864 in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Brunel University London, especially those in BCAST. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by diving deep into the DIGI-HSMC project. Understand how digital twin technology works and think of examples from your experience that relate to the role. We want to show them we’re not just a good fit, but the perfect fit!
✨Tip Number 3
Show off your skills! If you’ve worked on relevant projects, be ready to discuss them in detail. Bring along any reports or presentations you've created. This is our chance to shine and demonstrate our expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows we’re serious about joining the team at Brunel University London.
We think you need these skills to ace Research Assistant/Fellow in Digital Twin for Advanced Manufacturing - 16864 in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Research Assistant/Fellow. Highlight your relevant experience in digital twins, sensor systems, and programming skills. We want to see how your background aligns with the DIGI-HSMC project!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about advanced manufacturing and how your skills can contribute to our team at BCAST. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Projects: If you've worked on any projects related to materials science or digital manufacturing, make sure to mention them! We’re interested in your hands-on experience and how you’ve applied your knowledge in real-world scenarios.
Apply Through Our Website: Don’t forget to apply through our official website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our amazing team at Brunel University London.
How to prepare for a job interview at Brunel University of 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.
✨Show Off 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 communicate effectively with both academic and industrial partners, so being able to articulate your ideas clearly is crucial.
✨Collaborative Mindset
Be ready to discuss your experience working in teams, especially in interdisciplinary settings. Highlight any collaborative projects you've been involved in, as teamwork is key in this role at BCAST.