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- Tasks: Build machine learning models and conduct cutting-edge research in AI and human perception.
- Company: Harnham, a forward-thinking company at the forefront of AI innovation.
- Benefits: Salary between £60,000 to £75,000 plus equity and remote working options.
- Other info: Enjoy long-term growth opportunities in a dynamic and innovative environment.
- Why this job: Join a pioneering team and make a significant impact in the AI field.
- Qualifications: PhD with strong research experience in computational vision or related fields.
The predicted salary is between 60000 - 75000 £ per year.
Harnham is seeking a Founding Research Scientist in London with a salary range of £60,000 to £75,000 plus equity. The role involves building machine learning models and conducting research at the intersection of human perception and AI.
The ideal candidate will hold a PhD with strong research experience, especially in computational vision or related fields. The position offers predominantly remote working, with opportunities for impactful research and long-term growth within the organization.
Founding Research Scientist - Remote, Equity & Spatial AI in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Research Scientist - Remote, Equity & Spatial AI 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 participate in discussions to get your name out there.
✨Tip Number 2
Showcase your work! Create a portfolio or GitHub repository with your research projects and machine learning models. This gives potential employers a tangible look at your skills and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to make an impact in the field of AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Founding Research Scientist - Remote, Equity & Spatial AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your research experience and skills in computational vision. We want to see how your background aligns with the role of Founding Research Scientist, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the intersection of human perception and AI. We love seeing candidates who can articulate their vision and how they can contribute to our mission.
Showcase Your Research: Include links to your published papers or any relevant projects in your application. We’re keen to see your work in action, especially if it relates to machine learning models or innovative research in AI.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harnham
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail, especially those related to computational vision or AI. Be prepared to explain your methodologies, findings, and how they relate to the role you're applying for.
✨Showcase Your Machine Learning Skills
Since the role involves building machine learning models, brush up on your technical skills. Be ready to discuss specific algorithms you've used, challenges you've faced, and how you overcame them. Practical examples will make a strong impression.
✨Understand Human Perception in AI
Familiarise yourself with the intersection of human perception and AI. Prepare to discuss how your understanding of human behaviour can influence AI model development. This shows that you’re not just technically skilled but also understand the broader implications of your work.
✨Prepare Questions for Them
Interviews are a two-way street! Think of insightful questions about their research goals, team dynamics, and future projects. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.