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- Tasks: Take ownership of calibration, inversion, and uncertainty quantification pipelines.
- Company: Bespoke Labs, a forward-thinking company in the UK.
- Benefits: Competitive compensation and a fully asynchronous work environment.
- Other info: Inclusive culture that values diverse perspectives.
- Why this job: Make a real impact in physics-informed machine learning while working remotely.
- Qualifications: PhD or active PhD candidate in a relevant discipline with Python expertise.
The predicted salary is between 20000 - 30000 £ per year.
Bespoke Labs in the United Kingdom is looking for a contractor to take ownership of calibration, inversion, and uncertainty quantification pipelines. Candidates should hold a PhD or be an active PhD candidate in a relevant discipline.
Essential skills include:
- Expertise in numerical methods
- Proficiency in Python with scientific libraries
- The ability to implement algorithms from primary literature
This fully asynchronous role offers competitive compensation and a commitment to inclusivity.
Physics‑Informed ML Engineer (PhD Intern, Contract) in London employer: Bespoke Labs
Contact Detail:
Bespoke Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Physics‑Informed ML Engineer (PhD Intern, Contract) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of physics-informed machine learning on platforms like LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to numerical methods and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on algorithms from primary literature. Be ready to discuss how you've implemented these in your past work or studies, as this will demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Physics‑Informed ML Engineer (PhD Intern, Contract) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in numerical methods and Python. We want to see how you can implement algorithms from primary literature, so don’t hold back on showcasing your relevant projects or research!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your PhD work aligns with the responsibilities of calibration, inversion, and uncertainty quantification pipelines. We love seeing candidates who connect their experience directly to what we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your skills and experiences stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Bespoke Labs.
How to prepare for a job interview at Bespoke Labs
✨Know Your Stuff
Make sure you brush up on your numerical methods and Python skills. Be ready to discuss specific algorithms you've implemented from primary literature, as this will show your depth of knowledge and practical experience.
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've done during your PhD. Highlight how you've tackled calibration, inversion, or uncertainty quantification in your work, as this will demonstrate your hands-on experience in the field.
✨Ask Insightful Questions
Think of some thoughtful questions to ask during the interview. This could be about their current projects or how they approach inclusivity in their team. It shows you're genuinely interested and engaged with the role.
✨Be Yourself
Remember, this is a fully asynchronous role, so let your personality shine through even if it's a virtual interview. Being authentic can help you connect better with the interviewers and make a lasting impression.