Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Innovate in geospatial AI and develop high-performance algorithms.
- Company: Leading spatial AI company in Greater London with a focus on cutting-edge technology.
- Benefits: Generous stipend of £7,500 per month and hands-on research experience.
- Why this job: Join a dynamic team and contribute to groundbreaking location-based AR projects.
- Qualifications: Enrolled in a relevant PhD program with skills in Python and computer vision.
- Other info: In-office presence required three days a week for collaborative work.
The predicted salary is between 7500 - 7500 £ per month.
A leading spatial AI company in Greater London is seeking a PhD Research Intern to innovate in geospatial AI. The role focuses on developing high-performance algorithms and collaborating with researchers on novel models for location-based AR and spatial intelligence.
Candidates should be enrolled in a relevant PhD program and possess skills in Python, computer vision, and algorithm optimization.
This position offers a stipend of £7,500 per month and requires in-office presence three days a week.
PhD Spatial AI Research Intern – London employer: Niantic Spatial, Inc.
Contact Detail:
Niantic Spatial, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Spatial AI Research Intern – London
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the spatial AI field. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your work in Python, computer vision, or algorithm optimisation. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get together with friends or fellow PhD candidates and do mock interviews. It’s a great way for us to refine our answers and boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace PhD Spatial AI Research Intern – London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python, computer vision, and algorithm optimisation skills in your application. We want to see how your expertise aligns with our focus on geospatial AI!
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor them to reflect your passion for location-based AR and spatial intelligence. We love seeing candidates who are genuinely excited about what we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm.
Apply Through Our Website: Remember to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in London.
How to prepare for a job interview at Niantic Spatial, Inc.
✨Know Your Algorithms
Make sure you brush up on the latest algorithms in geospatial AI. Be ready to discuss your experience with algorithm optimisation and how you've applied it in past projects. This will show your depth of knowledge and passion for the field.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python, especially in relation to computer vision. You might be asked to solve a coding problem or explain your approach to a specific project. Practising common coding challenges can really help you shine.
✨Collaborative Mindset
Since this role involves working closely with other researchers, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on projects, particularly in a research setting, to highlight your ability to work well in a team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current projects in location-based AR or their vision for spatial intelligence. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.