At a Glance
- Tasks: Develop cutting-edge models to quantify emotions from wearable tech.
- Company: Innovative AI company at the forefront of emotional intelligence.
- Benefits: Competitive salary, equity options, and flexible work arrangements.
- Other info: Dynamic startup environment with opportunities for growth and impact.
- Why this job: Join a pioneering team and shape the future of emotional AI.
- Qualifications: PhD in relevant field and experience in ML systems required.
The predicted salary is between 75000 - 75000 £ per year.
About the Role
This is a founding technical role at the intersection of computational neuroscience and production machine learning, sitting at the core of a wearable AI product that quantifies emotional states in real time. You'll own the inference model that translates biometric and audio signals into emotional intelligence insights — work that directly defines what the product can do. Computational neuroscientists here operate as full ML engineers, bridging research and deployed systems.
What You'll Do
- Develop and iterate on the inference model that quantifies emotional states from wearable sensor data.
- Bridge neuroscience research and production machine learning systems, taking models from concept through deployment.
- Contribute to the full ML lifecycle — experimentation, validation, and productionisation — at an early-stage company where your scope will grow with the team.
What We're Looking For
- PhD in computational neuroscience, cognitive science, active inference, or a closely related field.
- 2–7 years of experience bridging neuroscience research and production machine learning systems.
- Strong proficiency in Python for ML model development and deployment.
- Comfort working across research and engineering — you think like a scientist and ship like an engineer.
- Background in active inference or probabilistic/generative models of brain function is a strong plus.
- US work authorisation required (visa transfers considered; no new sponsorship).
Compensation & Benefits
Salary of $150,000 USD (US) or approximately £75,000 GBP (London), plus meaningful early-stage equity (up to 1–2%). No new visa sponsorship; transfers are welcome.
Location
Primary location is London, UK, with on-site presence in London or San Francisco also an option. Remote and hybrid arrangements are supported. Location is flexible for the right candidate.
Neuroscience PhD in London employer: Clera
As a pioneering company at the forefront of wearable AI technology, we offer an exceptional work environment that fosters innovation and collaboration. Our culture encourages continuous learning and growth, providing employees with unique opportunities to bridge cutting-edge neuroscience research with practical machine learning applications. With competitive compensation, meaningful equity options, and flexible working arrangements in vibrant London, we are committed to supporting our team members in achieving both personal and professional success.
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We think you need these skills to ace Neuroscience PhD in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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