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- Tasks: Design and implement machine learning models to predict human behaviour.
- Company: Join Harnham, a remote team with a focus on innovation and creativity.
- Benefits: Salary between £60,000 to £75,000, equity options, and a supportive culture.
- Other info: Dynamic environment that encourages initiative and offers career growth.
- Why this job: Make an impact in AI research while working remotely and fostering creativity.
- Qualifications: PhD in AI or related field, strong Python and deep learning experience.
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) 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)
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of AI and human attention. Use platforms like LinkedIn to connect with current employees at Harnham or similar companies. A friendly message can go a long way!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and experiments. This is your chance to demonstrate your Python prowess and deep learning experience. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on relevant topics. Dive into human behaviour prediction and spatial AI concepts. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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 are proactive about their job search. So, get that application in and let’s make it happen!
We think you need these skills to ace Research Scientist – Human Attention & Spatial AI (Remote, Equity)
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 and deep learning expertise!
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 role involves running independent experiments, make sure to detail any relevant research projects you've worked on. We’re keen to see how you’ve applied your knowledge in real-world scenarios!
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 the role. Plus, it’s super easy!
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 steps you take to ensure robust results.
✨Emphasise Your Creativity
Harnham values creativity and initiative, so think of examples where you've innovated in your work. Whether it's a unique approach to a project or a new technique you developed, share these stories to highlight your fit for their supportive and innovative culture.