At a Glance
- Tasks: Conduct groundbreaking research on machine learning and corrosion modelling in bio-feedstock refining.
- Company: University of Leeds, a leading institution in engineering and technology.
- Benefits: Fully funded PhD with a tax-free maintenance grant of £21,805 per year.
- Other info: Collaborate with top researchers and industry leaders for impactful research.
- Why this job: Join a multidisciplinary team tackling real-world challenges in sustainable technology.
- Qualifications: First-class degree in relevant fields; programming skills in Python or MATLAB preferred.
The predicted salary is between 21805 - 21805 £ per year.
This fully funded PhD studentship at the University of Leeds offers a research opportunity focused on Machine Learning Driven Corrosion Modelling in Bio‑Feedstock Refining. The project addresses the emerging engineering challenge posed by corrosion in next‑generation bio‑based fuel processing. Bio feedstocks often exhibit behaviours distinct from traditional crude oil, which can accelerate corrosion in refinery environments.
This studentship enables the successful candidate to develop advanced data‑driven tools that predict and manage corrosion in these complex systems, integrating modern machine learning techniques with physical and chemical understanding. Regular collaboration with researchers from Imperial College London, University College London, and the University of Illinois at Urbana‑Champaign, alongside industrial scientists at BP, will support a multidisciplinary research context.
The work will involve progressing from initial statistical and machine learning methods to hybrid and physics‑informed models, contributing to adaptive experimental strategies and high‑throughput assessment approaches relevant to sustainable bio‑refineries. The role includes opportunities to present findings, publish research, and engage with industrial challenges in sustainable technology and corrosion management.
Eligibility Criteria
- Applicants should hold a first‑class or upper second‑class honours bachelor’s degree (or equivalent), or a relevant master’s degree, in disciplines such as engineering, materials science, chemistry, physics, computer science, applied mathematics, or related fields.
- Candidates must be eligible to pay tuition fees at the UK fee rate; the studentship is open only to UK applicants at the UK fee status.
- Applicants who have previously been awarded a PhD or are currently registered for a PhD are not eligible.
Required expertise/skills
- Strong analytical skills and a foundational understanding of data analysis and modelling.
- Experience or familiarity with programming languages such as Python or MATLAB is advantageous.
- Interest in machine learning, data‑driven modelling, corrosion science, and interdisciplinary research.
- Ability to work collaboratively within international research teams and engage with industrial partners.
Salary details
The studentship includes full academic fees coverage and a tax‑free maintenance grant at the standard UKRI rate of £21,805 per year for 3.5 years.
Application Deadline
Applications must be submitted by Friday 26 June 2026.
PhD Studentship – Machine Learning Driven Corrosion Modelling in Bio‐Feedstock Refining in Leeds employer: RFCSR
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our interdisciplinary approach not only encourages professional growth through diverse research opportunities but also allows you to make a meaningful impact in the fields of engineering and biomedical research. Located in the vibrant city of London, our institution offers a dynamic environment where creativity thrives and employees are supported in their career development.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship – Machine Learning Driven Corrosion Modelling in Bio‐Feedstock Refining in Leeds
✨Get Involved in Engineering Societies
Join local engineering societies or student chapters; they often have networking events and workshops tailored for internship seekers. It's a great way to meet professionals and get insider tips on which companies, like RFCSR, are hiring!
✨Attend Career Fairs and Workshops
Make the most of your university's career fairs! These events often feature companies looking specifically for interns, and they give us the chance to make a direct impression on recruiters from places like RFCSR. Bring your best elevator pitch and showcase your enthusiasm!
✨Show Off Your Projects
Make sure to create a portfolio or a personal website showcasing any relevant projects you’ve worked on, whether it's uni assignments or personal projects. This visual representation will help you stand out during interviews or casual chats with engineers from RFCSR!
✨Leverage Internships to Build Skills
Don't just aim for any internship; seek out those that allow you to learn and grow. Even roles at startups can offer hands-on experience that's invaluable. We should focus on companies like RFCSR that may have rotational internship programmes, providing us with diverse experiences.
We think you need these skills to ace PhD Studentship – Machine Learning Driven Corrosion Modelling in Bio‐Feedstock Refining in Leeds
Some tips for your application 🫡
Show Off Your Technical Skills:In the engineering world, we want to see your technical skills front and centre. When you’re crafting your CV, highlight any relevant coursework, projects, or software you’ve used. If you’ve got experience with CAD programs or any engineering software, make sure to mention that to grab our attention!
Tailor Your Motivation in the Cover Letter:This internship is all about learning and growth, so let us know why you're excited about this opportunity at RFCSR. Your cover letter should reflect your passion for engineering and willingness to learn — share what makes us the perfect place for you to dip your toes into the industry!
Include Relevant Academic Projects:If you've completed any engineering projects, whether in class or on your own time, showcase those in your application. We love to see practical experience, even if it’s from school! Detail what you did, what techniques you used, and any challenges you faced. This shows us you can apply your knowledge in real-world situations.
Keep it Clear and Concise:When you're applying for an internship, we know it can be tempting to cram every detail into your CV or cover letter. But keep it clear and to the point! One page for your CV is usually enough — highlight the most relevant bits and make sure your passion for engineering shines through without any fluff.
How to prepare for a job interview at RFCSR
✨Brush Up on Technical Fundamentals
For an engineering internship like the one at RFCSR, it’s essential to have a solid grasp of core principles. Expect technical questions that test your understanding of basic engineering concepts. We recommend revising key topics relevant to the role and finding some example problems to solve ahead of time.
✨Show Your Passion for Engineering
During the interview, we should communicate our enthusiasm for engineering and the specific area you're applying to. Share any projects, coursework, or experiences that fuelled your interest. Companies like RFCSR often look for candidates who not only have the skills but also a genuine passion for the field.
✨Prepare for Scenario-Based Questions
Be ready for situational questions that probe your problem-solving and critical-thinking abilities. You might be asked how you would approach a specific engineering challenge or design a solution to a hypothetical problem relevant to the industry. Think through a few scenarios before going in, as these can really demonstrate your thought process.
✨Highlight Your Teamwork Skills
Internships often involve collaboration, so we should be prepared to discuss our experiences working in teams. Have examples ready where you've worked as part of a group on projects, whether in a school setting or during co-curricular activities. This will show RFCSR that we understand the importance of collaboration in engineering.
