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For Companies At a Glance
- Tasks: Design and implement machine learning models to understand human attention and behaviour.
- Company: Join a human-centric research consultancy with a startup vibe.
- Benefits: Competitive salary, equity options, and fully remote work.
- Other info: Collaborative culture that encourages curiosity and innovation.
- Why this job: Shape the future of AI while tackling real-world challenges in human behaviour.
- Qualifications: PhD or near-complete PhD in relevant fields and strong Python skills.
The predicted salary is between 60000 - 75000 £ per year.
This is a rare opportunity to join a small, research-led team working on some of the most challenging problems in human-centred AI. The role offers genuine ownership, the chance to shape research direction, and the ability to see ideas move quickly from experimentation into real-world applications.
The Company
They are a human-centric research and development consultancy focused on modelling how people perceive, attend to, and interact with complex visual and spatial environments. Operating with a lean, startup-style culture, the team works closely with industry partners while actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems.
The Role
You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts.
Key responsibilities include:
- Designing and implementing machine learning models for human attention, perception, and interaction.
- Running independent experiments, from hypothesis and data design through to evaluation and analysis.
- Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.
- Translating research ideas into practical prototypes with support from a small engineering-focused team.
- Contributing ideas proactively in an open, research-driven environment.
Your Skills and Experience
- PhD, near-complete PhD, in machine learning, computer vision, AI, cognitive science, neuroscience, HCI, robotics, or a related field.
- Evidence of strong research output such as publications at leading computer vision or AI venues, patents, or substantial open-source contributions.
- Strong hands-on experience with Python and modern deep learning frameworks, ideally PyTorch.
- Ability to design, run, and evaluate machine learning experiments independently.
- A genuine interest in human behaviour, attention, perception, or cognitive modelling.
- Clear communication skills and confidence working in a small, collaborative team.
What They Offer
- Salary between £60,000 and £75,000 depending on experience.
- Equity options ranging from 0.1 percent to 3.0 percent based on seniority and scope.
- Fully remote.
- High-impact research problems, real-world applications, and meaningful technical ownership.
- A supportive, creative culture that values curiosity, initiative, and thoughtful experimentation.
How to Apply
Apply below or email me for more information.
Research Science - Human Attention employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Science - Human Attention
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to human attention and AI. We want to see your hands-on experience with Python and deep learning frameworks, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your research and technical skills. We recommend practising common interview questions related to machine learning and cognitive science. The more confident you are, the better you’ll perform!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Research Science - Human Attention
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role. Highlight your research output, especially in areas like machine learning and cognitive science, to show us you’re a great fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about human attention and how your background makes you the perfect candidate. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, whether academic or personal, make sure to include them. We love seeing practical applications of your skills, especially in machine learning and computer vision.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Research
Dive deep into the company's research focus on human attention and spatial AI. Familiarise yourself with their past projects and publications, as this will help you demonstrate your genuine interest and understanding of their work during the interview.
✨Showcase Your Skills
Be ready to discuss your hands-on experience with Python and deep learning frameworks like PyTorch. Prepare specific examples of machine learning models you've designed or experiments you've run, highlighting your ability to work independently and collaboratively.
✨Prepare Thoughtful Questions
Think of insightful questions that reflect your curiosity about the role and the company’s direction. Ask about their current challenges in modelling human behaviour or how they envision the future of their research, showing that you're not just interested in the job but also in contributing to their mission.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Since the role involves collaboration within a small team, demonstrating your communication skills will be crucial. Consider doing mock interviews to refine your delivery and ensure you can convey complex ideas effectively.