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- Tasks: Design and build models predicting human attention and behaviour in visual contexts.
- Company: Innovative startup focused on human attention and spatial AI.
- Benefits: Meaningful equity, flexible location, and freedom to shape your research.
- Other info: Work closely with founders and enjoy real ownership over technical direction.
- Why this job: Join a small team and influence the future of AI with your research.
- Qualifications: PhD or equivalent experience in relevant fields and strong publication record.
The predicted salary is between 60000 - 80000 £ per year.
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.
Responsibilities
- 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
Founding Research Scientist employer: Harnham
Contact Detail:
Harnham 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 at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to human attention and spatial AI. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in your field. Think about how your experience aligns with the role and be ready to discuss your research and its impact.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Founding Research Scientist
Some tips for your application 🫡
Show Off Your Research Skills: Make sure to highlight your research experience, especially if you've published in top venues like CVPR or ICCV. We want to see how your background aligns with our focus on human attention and behaviour.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who really understand what we’re about.
Be Clear About Your Technical Skills: We’re looking for hands-on experience with Python and deep learning frameworks like PyTorch or TensorFlow. Make sure you clearly outline your technical skills and any relevant projects you've worked on.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Research Inside Out
Make sure you can discuss your past research and publications in detail. Be prepared to explain how your work relates to human attention and spatial AI, as well as how it aligns with the company's goals. This shows your passion and expertise.
✨Demonstrate Technical Proficiency
Brush up on your Python skills and be ready to talk about your experience with deep learning frameworks like PyTorch or TensorFlow. You might even be asked to solve a technical problem on the spot, so practice coding challenges related to machine learning and computer vision.
✨Showcase Your Experimentation Skills
Be prepared to discuss how you've designed and run experiments in the past. Highlight your ability to analyse data and draw meaningful conclusions, especially in the context of human behaviour and perception. This will demonstrate your hands-on experience and analytical mindset.
✨Engage with Their Vision
Research the company’s current projects and future directions. Think about how your skills can contribute to their goals and be ready to share your ideas on potential new research directions. This shows that you're not just looking for a job, but are genuinely interested in being part of their journey.