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- Tasks: Explore cutting-edge mathematical models for Earth and planetary systems.
- Company: Prestigious university in Cambridge with a focus on innovative research.
- Benefits: Gain invaluable research experience and access to academic resources.
- Why this job: Dive into exciting challenges in probabilistic numerics and make a real impact.
- Qualifications: Master’s degree in Engineering, Physics, Computer Science, or Mathematics required.
- Other info: Join a vibrant academic community with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading university in Cambridge offers a PhD position focusing on the mathematical and computational modelling of Earth and planetary systems, specifically investigating Probabilistic Numerical Computation for large scale Inverse Problems.
Eligible candidates should hold a good Master’s degree in Engineering, Physics, Computer Science, or Mathematics. Strong self-motivation and effective communication skills are essential.
Applications should include:
- a research statement
- CV
- publication list
- two referee contacts
PhD: Probabilistic Numerics for Large-Scale Inverse PDEs in Cambridge employer: University of Cambridge
Contact Detail:
University of Cambridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD: Probabilistic Numerics for Large-Scale Inverse PDEs in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty in your field at the university. A friendly chat can give you insider info and might even lead to a recommendation.
✨Tip Number 2
Prepare for interviews by brushing up on your research area. Be ready to discuss your ideas and how they relate to the position. Show us your passion for Probabilistic Numerical Computation!
✨Tip Number 3
Don’t underestimate the power of a strong online presence. Share your research interests and achievements on platforms like LinkedIn or ResearchGate. It helps us see your commitment and expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Make sure to tailor your CV and research statement to highlight your fit for this exciting PhD opportunity.
We think you need these skills to ace PhD: Probabilistic Numerics for Large-Scale Inverse PDEs in Cambridge
Some tips for your application 🫡
Craft a Compelling Research Statement: Your research statement is your chance to shine! Make sure it clearly outlines your interests and how they align with the PhD focus. We want to see your passion for Probabilistic Numerical Computation and how you plan to tackle those large-scale inverse problems.
Tailor Your CV: Don’t just send a generic CV! Highlight your relevant experience in Engineering, Physics, Computer Science, or Mathematics. We’re looking for strong self-motivation, so showcase any projects or roles that demonstrate your initiative and problem-solving skills.
List Relevant Publications: If you’ve got publications, make sure to include them! This shows us your research capabilities and commitment to your field. If you don’t have any yet, no worries—just focus on your academic achievements and any relevant coursework.
Choose Your Referees Wisely: Select referees who know your work well and can speak to your strengths. Ideally, they should be familiar with your research interests or have supervised you in relevant projects. A strong recommendation can really make your application stand out!
How to prepare for a job interview at University of Cambridge
✨Know Your Research Inside Out
Make sure you thoroughly understand your research statement and the key concepts behind Probabilistic Numerical Computation. Be prepared to discuss how your background in Engineering, Physics, Computer Science, or Mathematics relates to the position and the specific challenges of large-scale inverse PDEs.
✨Showcase Your Communication Skills
Since effective communication is essential for this role, practice explaining complex ideas in simple terms. You might be asked to present your previous work or research, so ensure you can articulate your thoughts clearly and confidently.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the research group, ongoing projects, and potential collaborations. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
✨Highlight Your Self-Motivation
Be ready to share examples of how you've demonstrated self-motivation in your academic or professional journey. Discuss any independent projects or research you've undertaken, as this will illustrate your drive and commitment to the field.
