Bayesian ML Scientist for Materials Experimentation

Bayesian ML Scientist for Materials Experimentation

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Matterhorn Studio

At a Glance

  • Tasks: Collaborate with researchers to build ML models for materials experimentation.
  • Company: Matterhorn Studio, a leading innovator in machine learning and materials science.
  • Benefits: Competitive salary, opportunities for publication, and a dynamic research environment.
  • Other info: Exciting opportunities for career growth and impactful research.
  • Why this job: Join a cutting-edge team and contribute to groundbreaking materials research.
  • Qualifications: Strong MSc/PhD background in machine learning and Bayesian optimisation.

The predicted salary is between 60000 - 80000 Β£ per year.

Matterhorn Studio in the United Kingdom seeks a Machine Learning Scientist specializing in Bayesian Optimisation to collaborate with materials researchers and build ML models that inform laboratory experimentation schedules.

You will work on models supporting experiments from manual to self-driving workflows, with opportunities to publish.

Strong MSc/Ph D background and ML expertise are desired for this role.

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Bayesian ML Scientist for Materials Experimentation employer: Matterhorn Studio

Matterhorn Studio is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the field of materials research. With a strong emphasis on employee growth, you will have opportunities to publish your findings and engage with leading partners in the pharmaceutical and materials sectors, all while enjoying the vibrant culture of the United Kingdom. Join us to be part of a forward-thinking team that values creativity and scientific advancement.

Matterhorn Studio

Contact Details:

Matterhorn Studio Recruitment Team

We think you need these skills to ace Bayesian ML Scientist for Materials Experimentation

Bayesian Optimisation
Machine Learning Expertise
Model Development
Collaboration Skills
Laboratory Experimentation
Data Analysis
Research Publication