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- Tasks: Design and implement machine learning models to predict human behaviour and run experiments.
- Company: Join Harnham, a remote team with a focus on innovation in AI.
- Benefits: Salary between £60,000 to £75,000, equity options, and a supportive culture.
- Other info: Foster your creativity in a dynamic and innovative environment.
- Why this job: Make an impact in the exciting field of human attention and spatial AI.
- Qualifications: PhD in AI or related field, strong Python and deep learning skills.
The predicted salary is between 60000 - 75000 £ per year.
Harnham is looking for a Research Scientist to join their remote team focused on human attention and spatial AI. You will design and implement machine learning models to predict human behaviour, run independent experiments, and work with diverse data types.
A PhD in AI or a related field is required, along with strong Python and deep learning experience.
The role offers a salary of £60,000 to £75,000, equity options, and a supportive, innovative culture that fosters creativity and initiative.
Research Scientist – Human Attention & Spatial AI (Remote, Equity) in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist – Human Attention & Spatial AI (Remote, Equity) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to human behaviour prediction and spatial AI. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and deep learning knowledge. Be ready to discuss your past research and how it relates to the role at Harnham.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Research Scientist – Human Attention & Spatial AI (Remote, Equity) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about human attention and spatial AI. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Research Experience: Since this is a research-focused role, make sure to detail your past research projects. We’re interested in your ability to run experiments and analyse diverse data types, so give us the juicy details!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your knowledge of human attention and spatial AI. Be ready to discuss your previous research, especially any machine learning models you've designed or implemented. This will show that you're not just familiar with the theory but have practical experience too.
✨Show Off Your Python Skills
Since strong Python experience is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning. Familiarise yourself with libraries like TensorFlow or PyTorch, as they could come up in conversation.
✨Prepare for Experimental Design Questions
Expect questions about how you would run independent experiments. Think about the methodologies you've used in the past and be ready to explain your thought process. Discuss how you handle data types and what metrics you use to evaluate success.
✨Emphasise Creativity and Initiative
Harnham values a supportive and innovative culture, so highlight instances where you've taken initiative or approached problems creatively. Share examples of how you've contributed to a team or project in a way that fostered collaboration and innovation.