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- Tasks: Develop next-gen simulation capabilities using cutting-edge AI and molecular physics.
- Company: Leading AI materials firm in the UK with a focus on innovation.
- Benefits: Competitive salary, equity package, and collaborative work environment.
- Why this job: Join world-class researchers and make a real impact in AI and materials science.
- Qualifications: PhD or equivalent experience in a quantitative field and strong coding skills.
- Other info: Exciting opportunity for career growth in a dynamic research setting.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI materials firm based in the United Kingdom is seeking an Applied ML Researcher to develop next-generation simulation capabilities that bridge molecular-scale physics with continuum-level phenomena.
The ideal candidate will have a PhD or comparable experience in a quantitative field, exceptional coding skills, and deep experience with GPU/TPU frameworks like JAX or PyTorch.
This role offers a competitive salary, equity package, and the opportunity to work alongside world-class researchers in a collaborative environment.
Applied ML Researcher: Molecular Simulation & Multiscale AI employer: CuspAI
Contact Detail:
CuspAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML Researcher: Molecular Simulation & Multiscale AI
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and materials science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving molecular simulation or multiscale AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of GPU/TPU frameworks. Practice common ML problems and be ready to discuss your past research and how it relates to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied ML Researcher: Molecular Simulation & Multiscale AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in molecular simulation and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your coding prowess and any projects involving JAX or PyTorch.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about bridging molecular-scale physics with AI. We love seeing candidates who can articulate their vision and how they can contribute to our team.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving GPU/TPU frameworks, make sure to mention them. We’re keen to see practical examples of your work that demonstrate your expertise and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at CuspAI
✨Know Your Stuff
Make sure you brush up on your knowledge of molecular simulation and multiscale AI. Be ready to discuss your PhD work or any relevant projects in detail, especially how they relate to the job description. This shows you're not just a candidate but someone who genuinely understands the field.
✨Show Off Your Coding Skills
Since exceptional coding skills are a must, be prepared to demonstrate your proficiency in frameworks like JAX or PyTorch. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand to feel confident.
✨Prepare for Technical Questions
Expect technical questions that dive deep into both molecular-scale physics and continuum-level phenomena. Think about how you can explain complex concepts simply, as this will showcase your understanding and ability to communicate effectively with the team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, the team dynamics, or how they envision the future of AI in materials science. This not only demonstrates your enthusiasm but also helps you gauge if it’s the right fit for you.
