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For Companies At a Glance
- 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 England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Research Scientist in England
✨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. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and cognitive science. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your research and projects clearly, as well as how they relate to real-world applications. Remember, communication is key in a collaborative environment!
✨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 about their job search and genuinely interested in joining our team.
We think you need these skills to ace Founding Research Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of Founding Research Scientist. Highlight your research in cognitive science, machine learning, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about applied research at the intersection of human perception and machine learning. Share specific examples of your work that demonstrate your fit for the role.
Showcase Your Research Output: Don’t forget to include your publications, patents, or open-source contributions. This is your chance to show us your hands-on experience and how you’ve made an impact in the field.
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!
How to prepare for a job interview at Harnham
✨Know Your Research Inside Out
Make sure you can discuss your past 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, whether it's prototypes or publications, to illustrate your hands-on experience with deep learning.
✨Think Like a Collaborator
Since this role involves working in a small, multidisciplinary team, be prepared to discuss how you approach collaboration. Share examples of how you've contributed ideas and worked closely with others in previous projects.
✨Align with Their Vision
Understand the company's focus on safety and societal impact. Be ready to discuss how your research aligns with these values and how you can contribute to technology that has real-world applications.