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- Tasks: Develop digital twin models and analyse data for advanced manufacturing processes.
- Company: Brunel University London, a leading research centre in advanced materials.
- 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 and make a real impact in advanced manufacturing.
- Qualifications: PhD or relevant degree in related fields and strong programming skills.
The predicted salary is between 36640 - 38638 £ 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
Closing Date: 25 May 2026
Responsibilities:
- 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.
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.
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 Law School
Contact Detail:
Brunel Law School 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 on LinkedIn. A friendly chat can give us insider info about the team and the project, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by diving deep into the DIGI-HSMC project. We should be ready to discuss how our skills in digital twins and data analysis can contribute to their goals. Tailoring our answers to their specific needs will make us stand out!
✨Tip Number 3
Showcase our hands-on experience! If we’ve worked on similar projects or have relevant skills, let’s bring that up during interviews. Real-world examples of our work with sensor systems or machine learning can really impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can keep an eye on any updates or new opportunities that pop up 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 experience with digital twins, sensor systems, and any relevant programming skills. We want to see how your background fits into 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 relevant to the job description.
Showcase Your Projects: If you've worked on any projects related to materials science or digital manufacturing, make sure to mention them! We love seeing practical examples of your work, especially if they relate to the responsibilities listed in the job description.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Brunel Law School
✨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.
✨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 Spirit
Be ready to discuss your experience working in teams. Highlight any collaborative projects you've been involved in, especially those that required input from multiple disciplines, as teamwork is key in this role.