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- Tasks: Drive AI-driven physics simulations and solve complex engineering problems.
- Company: Deep-tech company in Greater London with a focus on innovation.
- Benefits: Equity options, flexible hours, and a hybrid work environment.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: PhD in a relevant field and experience in machine learning.
- Other info: Collaborative atmosphere with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A deep-tech company in Greater London is seeking a Machine Learning Researcher to drive the development of AI-driven simulation software. The ideal candidate should have a PhD in a relevant field and experience in machine learning, particularly with deep learning.
Responsibilities include:
- Translating engineering problems into mathematical models
- Collaborating effectively with diverse teams
This role offers equity options, flexible working hours, and a hybrid work environment.
Research Scientist – AI-Driven Physics Simulations employer: PhysicsX Ltd
Contact Detail:
PhysicsX Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist – AI-Driven Physics Simulations
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and physics simulation fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and deep learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Research Scientist – AI-Driven Physics Simulations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and deep learning. We want to see how your skills align with the role of a Research Scientist, so don’t be shy about showcasing your PhD work and any projects that relate to AI-driven simulations.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven physics simulations and how your background makes you the perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role!
Showcase Collaboration Skills: Since this role involves working with diverse teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so share examples of how you’ve effectively communicated and worked with others to solve complex problems.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at PhysicsX Ltd
✨Know Your Stuff
Make sure you brush up on your machine learning and deep learning concepts. Be ready to discuss your PhD research and how it relates to AI-driven simulations. The more you can connect your experience to the role, the better!
✨Show Your Problem-Solving Skills
Prepare to talk about how you've translated complex engineering problems into mathematical models in the past. Think of specific examples where your approach made a difference, as this will showcase your analytical skills.
✨Team Player Vibes
Since collaboration is key in this role, be ready to share experiences where you worked with diverse teams. Highlight how you communicated effectively and contributed to group success, as this will demonstrate your ability to fit into their culture.
✨Flexibility is Key
With the hybrid work environment, show that you're adaptable. Discuss how you've managed remote work or flexible hours in the past, and how you stay productive in different settings. This will reassure them that you can thrive in their setup.
