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- Tasks: Develop AI-driven simulation software and tackle complex challenges with machine learning.
- Company: Deep-tech company in London focused on innovation and collaboration.
- Benefits: Equity options, flexible working, and a commitment to diversity.
- Why this job: Join a cutting-edge team and make a real impact in advanced industries.
- Qualifications: PhD in a relevant field and 2+ years in data-driven deep learning roles.
- Other info: Mentorship opportunities and a dynamic work environment.
The predicted salary is between 48000 - 72000 £ per year.
A deep-tech company in London seeks a Machine Learning Researcher to develop AI-driven simulation software for advanced industries. You will collaborate with machine learning engineers and customers, translating complex challenges into mathematical models, while also mentoring less experienced colleagues.
Ideal candidates have a PhD in a relevant field and 2+ years in data-driven roles involving deep learning applications, particularly in Python.
This role offers equity options, a flexible working setup, and a commitment to diversity.
Research Scientist - Physics-Driven ML for Simulations in City of London employer: Physicsx
Contact Detail:
Physicsx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist - Physics-Driven ML for Simulations in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field through LinkedIn or industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and simulations. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common ML scenarios and being ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Scientist - Physics-Driven ML for Simulations in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven simulations and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex challenges in the past. We love seeing candidates who can translate tricky problems into effective solutions, especially in a collaborative environment.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Physicsx
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and physics-driven simulations. Be ready to discuss your PhD research and how it relates to the role. Prepare to explain complex concepts in a way that’s easy to understand, as you’ll need to translate these ideas for customers.
✨Showcase Your Coding Skills
Since Python is key for this position, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your experience with deep learning applications.
✨Collaboration is Key
This role involves working closely with machine learning engineers and mentoring others. Think of examples from your past where you successfully collaborated on projects or helped others grow. Highlight your teamwork skills and how you can contribute to a diverse environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, culture, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Consider asking about their approach to AI-driven simulations and how they tackle complex challenges.
