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- Tasks: Explore cutting-edge probabilistic numerics and tackle complex inverse problems in Earth and planetary systems.
- Company: Join a collaboration between IBM and the University of Cambridge, leading in engineering innovation.
- Benefits: Gain invaluable research experience and contribute to groundbreaking projects in a supportive environment.
- Why this job: Make a real impact on scientific challenges while developing your skills in a prestigious setting.
- Qualifications: Good Master's degree in Engineering, Physics, Computer Science, or Mathematics; self-motivated researchers welcome.
- Other info: Early applications encouraged; diverse candidates are strongly urged to apply.
The predicted salary is between 36000 - 60000 £ per year.
This PhD forms part of an ongoing collaboration between IBM and the Department of Engineering at the University of Cambridge, centred on the mathematical and computational modelling of Earth and planetary systems. The project will investigate Probabilistic Numerical Computation for large scale Inverse Problems, with a particular focus on cases governed by Partial Differential Equations (PDEs).
Recent developments in probabilistic numerics—where uncertainty in numerical computation is explicitly represented and quantified—offer a promising new perspective for addressing inverse problems in complex geophysical and planetary models. IBM faces several such challenges in practice, many of which are currently approached using Foundation-Model (FM) surrogates. However, certain inverse problems arise in data scarce settings where FM training is not feasible, prompting the exploration of synthetic data generation via direct PDE solvers.
This PhD will examine how probabilistic numerical methods can enhance, supplement, or replace existing approaches, enabling more principled uncertainty quantification and improved performance in large scale inverse modelling tasks relevant to Earth and planetary systems.
Eligibility and Qualifications
EPSRC IDLA studentships are available for eligible home students and a limited number of international students. Applicants should have (or expect to be awarded) a good UK Master’s degree (or overseas equivalent) in a relevant science subject (Engineering, Physics, Computer Science, Mathematics) and should be self-motivated, able to take ownership of their research, and effectively communicate their research findings.
Application details
Applicants are asked to upload the following:
- A short research statement (maximum 1 page) describing the applicant's past research, future goals, and why the applicant is interested and suitable for this position.
- A curriculum vitae.
- A publication list.
- The contact details of two referees that can provide a letter of recommendation for the applicant.
Applications for the PhD projects should be submitted via the University Application Portal: www.postgraduate.study.cam.ac.uk/apply. Please note that there is a £20 fee for applications. Early applications are encouraged as the position may be filled once suitable candidates are identified. We reserve the right to fill the position with a qualified candidate prior to the conclusion of the advertising period. Documents in support of applications should include a CV and a research statement.
Should you have any queries, please reach out to Professor Mark Girolami: mag92@cam.ac.uk with a copy to div-d@eng.cam.ac.uk. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
EPSRC Industrial Doctoral Landscape Award (IDLA) - Probabilistic Numerics and Inverse Problems in Cambridge employer: University of Cambridge
Contact Detail:
University of Cambridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land EPSRC Industrial Doctoral Landscape Award (IDLA) - Probabilistic Numerics and Inverse Problems in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former students in similar PhD programmes, especially those at Cambridge or IBM. They can give you insider tips and might even put in a good word for you.
✨Tip Number 2
Prepare for interviews by diving deep into the research area. Brush up on probabilistic numerics and inverse problems, and think about how your background fits into the project. We want to see your passion and knowledge shine!
✨Tip Number 3
Don’t just wait for opportunities to come to you. Actively apply through our website and keep an eye on related job boards. The more applications you send out, the better your chances of landing that dream position!
✨Tip Number 4
Follow up after interviews with a thank-you email. It shows your enthusiasm and professionalism. Plus, it keeps you fresh in their minds as they make their decision!
We think you need these skills to ace EPSRC Industrial Doctoral Landscape Award (IDLA) - Probabilistic Numerics and Inverse Problems in Cambridge
Some tips for your application 🫡
Craft a Compelling Research Statement: Your research statement is your chance to shine! Keep it concise, focusing on your past research, future goals, and why you're the perfect fit for this PhD. Make sure to highlight your passion for probabilistic numerics and how it relates to Earth and planetary systems.
Polish Your CV: Your CV should reflect your academic journey and relevant experiences. Tailor it to showcase your skills in Engineering, Physics, Computer Science, or Mathematics. Don't forget to include any publications or projects that demonstrate your expertise in numerical methods!
Choose Referees Wisely: Select referees who know your work well and can vouch for your abilities. A strong recommendation can make a big difference, so pick people who can speak to your research skills and motivation. Give them a heads-up about the application and what you’re aiming for!
Apply Early Through Our Website: Don’t wait until the last minute! Applying early not only shows your enthusiasm but also gives you a better chance of being considered. Head over to our website and submit your application through the University Application Portal. We can't wait to see what you bring to the table!
How to prepare for a job interview at University of Cambridge
✨Know Your Stuff
Make sure you have a solid grasp of probabilistic numerics and inverse problems. Brush up on Partial Differential Equations (PDEs) and be ready to discuss how they relate to your past research and future goals.
✨Tailor Your Research Statement
Your research statement should not just be a summary of your CV. Highlight specific projects that align with the collaboration between IBM and the University of Cambridge, and explain why you're passionate about this PhD opportunity.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Be ready to explain complex concepts in simple terms, as well as how you would approach real-world problems using probabilistic numerical methods.
✨Show Your Motivation
Demonstrate your self-motivation and ownership of your research. Share examples of how you've taken initiative in past projects and how you plan to contribute to the ongoing collaboration in this PhD.
