At a Glance
- Tasks: Solve complex AI data problems using your physics expertise in a collaborative environment.
- Company: Join Obsidian, a leader in innovative research and technology.
- Benefits: Flexible working hours, competitive pay, and opportunities for professional growth.
- Other info: Ongoing role starting in February with rolling applications.
- Why this job: Make a real impact in cutting-edge AI projects while advancing your research career.
- Qualifications: PhD in Physics with strong communication skills and expertise in Statistical Mechanics or Quantum Physics.
The predicted salary is between 30000 - 40000 £ per year.
Obsidian is looking for Physics PhDs specializing in areas like Statistical Mechanics, Quantum Physics, and General Relativity. Candidates will collaborate on a cutting-edge project using AI, contributing 4-6 tasks weekly that require rigorous physics expertise.
The position demands a PhD from US/UK/Canada/Western Europe and exceptional communication skills. The role is ongoing, starting in February with rolling applications.
Physics PhD Researcher - AI Data Problem Solver in London employer: Obsidian
At Obsidian, we pride ourselves on fostering a dynamic and innovative work culture that encourages collaboration and intellectual growth. As a Physics PhD Researcher, you will have the unique opportunity to engage in groundbreaking AI projects while working alongside leading experts in the field. Our commitment to employee development and a supportive environment makes us an exceptional employer for those seeking meaningful and rewarding careers in physics.
StudySmarter Expert Advice🤫
We think this is how you could land Physics PhD Researcher - AI Data Problem Solver in London
✨Tip Number 1
Network like a pro! Reach out to your academic contacts and let them know you're on the job hunt. They might have leads or even know someone at Obsidian who can give you the inside scoop.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your research and projects that highlight your expertise in Statistical Mechanics, Quantum Physics, and General Relativity. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your research and how it relates to AI. Mock interviews with friends or mentors can help you refine your communication skills, which are crucial for this role.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly to Obsidian. Plus, it shows you're serious about the opportunity and helps us keep track of your application.
We think you need these skills to ace Physics PhD Researcher - AI Data Problem Solver in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your expertise in Statistical Mechanics, Quantum Physics, or General Relativity. We want to see how your background aligns with the cutting-edge project we're working on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about using AI in physics and how your skills can contribute to our team. Keep it engaging and relevant to the role.
Show Off Your Communication Skills:Since exceptional communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t hesitate to showcase any teaching or collaborative experiences you've had.
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 right from the start!
How to prepare for a job interview at Obsidian
✨Know Your Physics Inside Out
Make sure you brush up on your knowledge of Statistical Mechanics, Quantum Physics, and General Relativity. Be prepared to discuss how your expertise can contribute to AI data problem-solving. We recommend reviewing recent papers or projects in these areas to showcase your understanding.
✨Showcase Your Communication Skills
Since exceptional communication is a must for this role, practice explaining complex physics concepts in simple terms. We suggest doing mock interviews with friends or colleagues to refine your ability to convey ideas clearly and effectively.
✨Familiarise Yourself with AI Applications
Research how AI is currently being used in physics and data analysis. We encourage you to think about specific examples where AI has solved problems in your field. This will not only impress the interviewers but also demonstrate your proactive approach to integrating AI into your work.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the project and the team at Obsidian. We suggest asking about the specific tasks you'll be working on and how collaboration is fostered within the team. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
