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- Tasks: Own calibration, inversion, and uncertainty quantification pipelines in a cutting-edge environment.
- Company: Bespoke Labs, a forward-thinking company in the UK.
- Benefits: Competitive compensation and a fully asynchronous work setup.
- Other info: Inclusive culture with opportunities for professional growth.
- Why this job: Make a real impact in physics-informed machine learning while working remotely.
- Qualifications: PhD or active PhD candidate in a relevant field 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 through LinkedIn or relevant forums. Engaging with others can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving numerical methods and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your algorithms and numerical methods knowledge. Be ready to discuss how you've implemented these in past projects, as this will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 experiences!
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 background 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. Avoid jargon unless it’s necessary, and make sure your passion for the role shines through!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 before the interview. 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 worked on 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 your interviewers about their current projects or the team dynamics at Bespoke Labs. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
✨Emphasise Inclusivity
Since the company values inclusivity, be prepared to discuss how you can contribute to a diverse and inclusive work environment. Share any experiences you have that highlight your commitment to these values.