At a Glance
- Tasks: Join a cutting-edge project to optimise industrial heat treatment using AI and machine learning.
- Company: Brunel University London, a leader in innovative research and technology.
- Benefits: Competitive salary, potential for progression, and a collaborative work environment.
- Other info: Exciting opportunity to work with industry partners and advance your career.
- Why this job: Make a real impact on energy efficiency and sustainability in manufacturing.
- Qualifications: PhD or relevant degree in Materials Science or related fields required.
The predicted salary is between 36640 - 38638 € per year.
We are seeking a highly motivated Research Assistant/Fellow to join BCAST at Brunel University London, contributing to the Innovate UK-funded SMART-HEAT PRO project. This project is developing a scalable, AI-enabled digital platform to transform industrial heat treatment processes, improving energy efficiency, reducing scrap, and enabling real-time optimisation through machine learning and advanced sensor integration.
Location: Brunel University London, Uxbridge Campus
Salary: Grade R1 – Research Assistant: £36,640‑38,638 per annum (excluding London Weighting), potential progression to £39,682. Research Fellow: £40,757‑44,179 per annum, potential progression to £52,067.
Hours: Full-time
Contract: Fixed term 10 months
The Role
Work on the SMART-HEAT PRO project as a bridge between materials science and data-driven modelling, developing physics-informed machine learning approaches for aluminium alloy heat treatment.
Responsibilities
- Design and conduct experimental heat‑treatment trials for aluminium alloys, generating high‑quality datasets.
- Develop and enhance machine‑learning algorithms, software and systems for heat‑treatment process optimisation.
- Perform advanced materials characterisation (SEM, hardness testing, micro‑structural analysis) to validate process outcomes.
- Validate physics‑informed machine‑learning models for process optimisation.
- Collaborate with industrial partners to integrate metallurgical insights into real‑time control systems.
- Contribute to the development of a digital materials knowledge base linking process parameters to performance outcomes.
- Prepare technical reports, publications and presentations for academic and industrial audiences.
You Will Have
- A PhD or relevant degree in Materials Science, Metallurgy, Mechanical, Computer Engineering or a related discipline.
- Strong knowledge of aluminium alloys and heat‑treatment processes.
- Experience in materials characterisation techniques (SEM, EBSD, mechanical testing).
- Interest or experience in data‑driven methods, machine learning or digital manufacturing.
- Ability to work collaboratively across academic and industrial environments.
Desirable
- Experience in AI/ML applied to materials or manufacturing.
- Familiarity with digital twin concepts or process modelling.
- Experience working on collaborative research projects.
Research Assistant/Fellow - Artificially Intelligent Enabled Material Processing employer: Brunel Law School
Brunel University London offers an exceptional work environment for the Research Assistant/Fellow role, fostering a culture of innovation and collaboration at the Uxbridge Campus. Employees benefit from competitive salaries, opportunities for professional development, and the chance to contribute to cutting-edge research projects like SMART-HEAT PRO, which aims to revolutionise industrial processes through AI. The university's commitment to employee growth and its vibrant academic community make it an attractive employer for those seeking meaningful and impactful careers in materials science and engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant/Fellow - Artificially Intelligent Enabled Material Processing
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the SMART-HEAT PRO project. Attend relevant events or webinars and don’t be shy about introducing yourself – you never know who might have a lead on the perfect opportunity.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with aluminium alloys and machine learning. When you get the chance to chat with potential employers, use this to demonstrate how you can contribute to their projects.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on articulating your knowledge of heat treatment processes and how your background aligns with the role at BCAST.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on the chance to join our innovative team!
We think you need these skills to ace Research Assistant/Fellow - Artificially Intelligent Enabled Material Processing
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Assistant/Fellow role. Highlight your experience with aluminium alloys, heat treatment processes, and any relevant machine learning projects. We want to see how your skills align with the SMART-HEAT PRO project!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about materials science and AI. Share specific examples of your past work that relate to the responsibilities listed in the job description. Let us know why you’re the perfect fit for our team!
Showcase Your Technical Skills:Don’t forget to mention your technical skills! Whether it's SEM, hardness testing, or machine learning algorithms, we want to know what tools you’ve used and how they can contribute to the project. Be specific and confident!
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 our hands directly. Plus, it shows you’re keen on joining us at Brunel University London!
How to prepare for a job interview at Brunel Law School
✨Know Your Stuff
Make sure you brush up on your knowledge of aluminium alloys and heat-treatment processes. Familiarise yourself with the latest advancements in AI and machine learning as they relate to materials science. This will not only help you answer technical questions but also show your genuine interest in the field.
✨Showcase Your Experience
Prepare specific examples from your past work or studies that demonstrate your skills in materials characterisation and data-driven methods. Be ready to discuss any projects where you've developed machine-learning algorithms or conducted experimental trials, as this will highlight your hands-on experience.
✨Collaborative Spirit
Since the role involves working with industrial partners, be prepared to talk about your teamwork experiences. Share instances where you've successfully collaborated across different disciplines or with external stakeholders, showcasing your ability to bridge the gap between academia and industry.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the SMART-HEAT PRO project’s goals, the team dynamics, or how success is measured in this role. This shows your enthusiasm and helps you gauge if the position aligns with your career aspirations.
