At a Glance
- Tasks: Lead research on optimising ceramic coatings using CFD and machine learning.
- Company: Join a world-class multidisciplinary team at the University of Leeds.
- Benefits: Collaborative environment with opportunities for publications and presentations.
- Other info: Exciting challenge with industry partners and excellent career growth.
- Why this job: Make a real impact in materials technology and innovate digital tools.
- Qualifications: PhD or submitted thesis in relevant engineering or science fields.
The predicted salary is between 35000 - 45000 £ per year.
Are you experienced in computational modelling of complex flows for materials technology and ceramic coatings? Do you want to join a world-class multidisciplinary team with industry partners? Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics?
We have a vacancy for an enthusiastic researcher with expertise in computational fluid dynamics (CFD), complex (non-Newtonian) flows, and machine learning knowledge to work with us in the Institute of Design, Robotics and Manufacturing (School of Mechanical Engineering, University of Leeds) and a local industry partner.
You will lead work on investigating and optimising the influence of compositional change, temperature, and humidity on the rheological behaviour of a ceramic slurry using CFD. Collaborating with other colleagues and the industrial partner, you will be defining a process window for the manufactured ceramic coatings by benchmarking surface quality, thickness, uniformity, and leakage, and subsequently developing machine learning algorithms to optimise the various parameters involved in the process.
You will collaborate closely with other researchers to develop new learning and to disseminate the project findings via publications and presentations.
As a Research Fellow, you will have a PhD (or have submitted your thesis before taking up the role), and a Bachelors or Masters degree in Mechanical Engineering, Aerospace Engineering, Maths/Computer Science, Materials Engineering or a related discipline.
To explore the post further or for any queries you may have, please contact: Dr Masoud Jabbari, Lecturer (Assistant Professor) Email: M.Jabbari@leeds.ac.uk
CFD & ML Research Fellow: Digital Ceramic Coatings in Leeds employer: University of Leeds
Join the University of Leeds as a CFD & ML Research Fellow and immerse yourself in a vibrant academic environment that fosters innovation and collaboration. With access to cutting-edge resources and a multidisciplinary team, you will have ample opportunities for professional growth while contributing to groundbreaking research in ceramic coatings. Our supportive work culture encourages creativity and knowledge sharing, making it an ideal place for passionate researchers looking to make a meaningful impact in materials technology.
StudySmarter Expert Advice🤫
We think this is how you could land CFD & ML Research Fellow: Digital Ceramic Coatings in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in CFD or materials technology. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your past projects related to computational modelling and machine learning. This will give you an edge during interviews and discussions.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your CFD knowledge and machine learning algorithms. We recommend doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace CFD & ML Research Fellow: Digital Ceramic Coatings in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in computational modelling and CFD. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this position and how your background in machine learning and ceramic coatings makes you a perfect fit for our team.
Showcase Your Research Experience:Since this is a research fellow position, we’d love to see any publications or presentations you’ve been involved in. Highlighting your contributions will help us understand your expertise and passion for the field.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure your application gets into the right hands and helps us keep track of all the amazing candidates like you.
How to prepare for a job interview at University of Leeds
✨Know Your Stuff
Make sure you brush up on your knowledge of computational fluid dynamics (CFD) and machine learning. Be ready to discuss specific projects or experiences where you've applied these skills, especially in relation to ceramic coatings or complex flows.
✨Show Your Collaborative Spirit
This role involves working closely with a multidisciplinary team and industry partners. Prepare examples that showcase your teamwork skills and how you've successfully collaborated on research projects in the past.
✨Prepare for Technical Questions
Expect some technical questions related to rheological behaviour, non-Newtonian flows, and the optimisation processes involved in manufacturing. Practise explaining these concepts clearly and concisely, as if you're teaching someone else.
✨Engage with Their Vision
Research the Institute of Design, Robotics and Manufacturing and their current projects. Be ready to discuss how your expertise aligns with their goals and how you can contribute to developing innovative digital tools for ceramic coatings.
