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- Tasks: Conduct groundbreaking research on human perception and machine learning to shape intelligent systems.
- Company: A dynamic consultancy focused on cognitive and perceptual modelling for real-world applications.
- Benefits: Competitive salary, equity options, remote work, and a chance to influence impactful technology.
- Other info: Enjoy a collaborative environment with opportunities for personal and professional growth.
- Why this job: Join a small team to make a real difference in AI and human interaction.
- Qualifications: PhD or equivalent experience in relevant fields with strong research output.
The predicted salary is between 60000 - 75000 £ per year.
This role stands out for its focus on applied research at the intersection of human perception and machine learning, with work directly shaping how intelligent systems understand attention, gaze and behaviour in real world environments. You will have the autonomy to explore ideas end to end, from experimental design to working prototypes, while contributing to technology with clear safety and societal impact.
The Company
They are a human centred research and development consultancy specialising in cognitive and perceptual modelling for complex visual and spatial systems. Operating as a small, fast moving team, they combine academic depth with practical delivery for long term industry partners. The business is profitable, independently funded and intentionally focused on sustainable growth rather than venture backing.
The Role
- Build and evaluate machine learning models that predict and interpret human attention, gaze and interaction within visual and spatial environments
- Design and run independent experiments across computer vision, temporal modelling and multimodal data
- Apply research from cognitive science and perception to practical AI systems
- Develop prototypes in Python and PyTorch, with light engineering where needed
- Contribute ideas proactively and collaborate closely within a multidisciplinary team
- Work on technology aligned with emerging safety and human monitoring requirements across transport and adjacent domains
Your Skills and Experience
- PhD or equivalent research experience in areas such as computational vision, visual attention, gaze estimation, cognitive neuroscience, HCI or perception with a machine learning component
- Strong research output through publications, patents or substantial open source contributions, ideally within computer vision or human centred AI
- Hands on experience with deep learning using Python and PyTorch
- Ability to design, execute and interpret experiments independently
- Experience or strong interest in areas such as eye tracking, saliency, egocentric video, EEG with vision, embodied AI or human behaviour modelling
- Clear communication skills and comfort working in a small, collaborative environment
What They Offer
- Salary of £60,000 to £75,000 depending on experience
- Equity options ranging from 0.1 percent to 3.0 percent
- Predominantly remote working with occasional collaboration in London
- High impact research work with real world application and long term relevance
- Opportunity to shape technical direction and grow with the organisation
How to Apply
Apply now to discuss this Research Scientist opportunity in Human Attention and Spatial AI in more detail.
Founding Research Scientist in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Research Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or conferences, and don’t be shy about sharing your passion for applied research. You never know who might have a lead on that perfect Founding Research Scientist role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and cognitive science. This will give potential employers a taste of what you can do and how you think, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your experimental design and data interpretation skills. Be ready to discuss your past research and how it aligns with the company’s focus on human perception and AI. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talented individuals with exciting opportunities. Plus, it shows you’re genuinely interested in being part of our team and contributing to impactful research.
We think you need these skills to ace Founding Research Scientist in London
Some tips for your application 🫡
Show Your Passion for Research: When writing your application, let your enthusiasm for applied research shine through. We want to see how your background in cognitive science or machine learning aligns with our mission to understand human perception.
Highlight Relevant Experience: Make sure to showcase any hands-on experience you have with deep learning, Python, and PyTorch. We’re looking for candidates who can hit the ground running, so don’t hold back on your achievements!
Be Clear and Concise: In your written application, clarity is key. Use straightforward language to explain your ideas and experiences. We appreciate a well-structured application that’s easy to read and gets straight to the point.
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 AI with us!
How to prepare for a job interview at Harnham
✨Know Your Research Inside Out
Make sure you can discuss your previous research and how it relates to the role. Be ready to explain your methodologies, findings, and how they can apply to machine learning and human perception.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and PyTorch. Bring examples of your work, such as prototypes or models you've developed, and be ready to discuss the challenges you faced and how you overcame them.
✨Think About Real-World Applications
Since the company focuses on technology with societal impact, think about how your research can translate into practical applications. Be prepared to discuss how your work can influence safety and human monitoring in various domains.
✨Emphasise Collaboration
This role involves working closely with a multidisciplinary team, so highlight your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals in your past projects.