At a Glance
- Tasks: Design and build models predicting human attention and behaviour in visual contexts.
- Company: Join a pioneering team focused on human-centred computer vision.
- Benefits: Meaningful equity, flexible location, and freedom to shape your research.
- Other info: Work closely with founders in a small, dynamic team.
- Why this job: Be a founding member influencing the future of AI and research.
- Qualifications: PhD or equivalent experience in relevant fields and strong publication record.
The predicted salary is between 60000 - 80000 € per year.
Research Scientist Human Attention and Spatial AI London - Remote - x2 a month visits
The Role
You will design and build models that predict, interpret, and simulate human attention and behaviour in visual and spatial contexts. Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas.
Key responsibilities include:
- Developing machine learning and computer vision models focused on human attention, perception, and intent
- Designing and running experiments independently across visual and spatial data
- Working with multimodal and temporal data such as gaze, motion, and interaction signals
- Contributing to new research directions and exploratory projects beyond the initial domain
- Publishing research in leading academic venues while working on applied problems
Your Skills and Experience
- PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field
- Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent research output
- Hands on experience with Python and deep learning frameworks such as PyTorch or TensorFlow
- Ability to design, run, and analyse machine learning experiments end to end
- Clear interest in human behaviour, perception, attention, or cognitive modelling
- Comfortable working in a very small team with ambiguity and open ended research problems
Useful or Nice to Have
- Gaze modelling, eye tracking, visual saliency, or attention modelling
- Spatial AI, 2D or 3D vision, simulation, or digital twins
- EEG or other physiological signals combined with computer vision
- Multimodal or temporal modelling, egocentric video, or embodied AI
What They Offer
- Meaningful equity as an early and influential hire
- Flexibility on location across London, Bristol, or remote working
- Freedom to continue publishing and shaping your own research agenda
- The chance to work directly with founders and have real ownership over technical direction
How to Apply
If you are excited by human centred computer vision and want to take on a founding level research role in a small, ambitious team, apply to find out more.
Founding Research Scientist employer: Harnham - Data & Analytics Recruitment
As a Founding Research Scientist, you will join a dynamic and innovative team dedicated to advancing the field of human attention and spatial AI. The company offers meaningful equity, flexible working arrangements across London or remote, and the unique opportunity to shape your own research agenda while collaborating closely with the founders. With a strong emphasis on employee growth and a culture that values creativity and ownership, this role is perfect for those seeking a rewarding and impactful career in cutting-edge technology.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Founding Research Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those who are already working in roles you aspire to. Attend conferences or webinars related to human attention and spatial AI, and don’t be shy about introducing yourself and sharing your interests.
✨Tip Number 2
Showcase your work! Create a portfolio that highlights your research projects, publications, and any relevant experiments you've conducted. This will give potential employers a clear view of your skills and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and being ready to discuss your past research experiences. Think about how your work aligns with the company’s goals, especially in areas like machine learning and computer vision.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our mission in human-centred computer vision.
We think you need these skills to ace Founding Research Scientist
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for human attention and spatial AI shine through. We want to see how excited you are about the role and the impact you can make in our small team!
Tailor Your CV:Make sure your CV highlights relevant experience in machine learning, computer vision, or any related fields. We love seeing a strong publication record, so don’t forget to mention those impressive papers you've authored!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your work with multimodal data or experiments you've designed, and how they relate to our mission at StudySmarter.
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 to shape the future of research at StudySmarter!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Stuff
Make sure you brush up on the latest research in human attention and spatial AI. Familiarise yourself with key concepts in computer vision and machine learning, especially those related to gaze modelling and cognitive science. This will not only help you answer technical questions but also show your genuine interest in the field.
✨Showcase Your Experience
Prepare to discuss your past projects and publications in detail. Be ready to explain your role in developing machine learning models or running experiments. Highlight any hands-on experience with Python and frameworks like PyTorch or TensorFlow, as this will demonstrate your practical skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision, the technical roadmap, and how they see the role evolving. This shows that you're not just interested in the job, but also in contributing to the company's future.
✨Embrace Ambiguity
Since the role involves working in a small team with open-ended research problems, be ready to discuss how you handle ambiguity. Share examples of how you've navigated uncertain situations in your previous work, and express your enthusiasm for exploring new research directions.
