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- Tasks: Build models to predict human interaction with complex visual environments.
- Company: Join a dynamic startup focused on cutting-edge research in human attention and spatial AI.
- Benefits: Be part of a hands-on team with opportunities for growth and innovation.
- Other info: Exciting opportunity as the 3rd hire in a collaborative research-led environment.
- Why this job: Make a real impact in a pioneering field at the forefront of technology.
- Qualifications: PhD in a relevant field and strong machine learning experience, especially in Python.
The predicted salary is between 60000 - 80000 £ per year.
Harnham is looking for a Research Scientist to join a small startup focused on applied research at the intersection of human attention, perception, and spatial AI. As their 3rd hire, you will build models to predict and simulate how people interact with complex visual environments.
Ideal candidates should have a PhD in a relevant field and strong experience in machine learning, particularly with Python and deep learning. Join a hands-on team in a dynamic research-led environment!
Founding Research Scientist — Human Attention & Spatial AI in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Research Scientist — Human Attention & Spatial AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or conferences, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to human attention and spatial AI. We recommend using GitHub to share your code and models, as it gives potential employers a glimpse of your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We suggest doing mock interviews with friends or using online platforms to practice. Remember, confidence is key when discussing your experience and ideas!
✨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 take the initiative to engage directly with us!
We think you need these skills to ace Founding Research Scientist — Human Attention & Spatial AI in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in machine learning. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills in Python and deep learning!
Tailor Your Application: Take a moment to customise your application for this specific role. We love seeing candidates who understand our focus on human attention and spatial AI, so mention any projects or research that relate directly to these areas.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Let us see your passion without getting lost in complicated language!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your knowledge of human attention and spatial AI. Be ready to discuss your PhD research and how it relates to the role. Familiarise yourself with the latest trends in machine learning, especially in Python and deep learning.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific projects where you've built models or solved complex problems. Use examples that highlight your ability to predict and simulate interactions in visual environments. This will show them you can think critically and apply your skills effectively.
✨Get Hands-On
Since this is a hands-on team, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges in Python beforehand. This will help you feel more confident during the technical part of the interview.
✨Cultural Fit Matters
As one of the first hires, you'll play a key role in shaping the company culture. Be ready to discuss how you work in a team and your approach to collaboration. Show enthusiasm for being part of a dynamic, research-led environment and how you can contribute to it.