Postdoctoral ML Scientist for Plasma Physics (Hybrid, London)

Quantemol Ltd; England; Hybrid; GBP 35,000 - 45,000; Full time

Job summary

A scientific research company is seeking a Postdoctoral Scientist in Machine Learning based in London. The role involves designing and implementing algorithms for plasma modelling, collaborating with scientists, and publishing research. Ideal candidates hold a PhD and have a strong background in machine learning within scientific domains. This is a full-time position with a hybrid working model, 2-4 office days per month, and a salary of £35,000 to £45,000.

Qualifications

• Proven research experience in machine learning applied to scientific domains.
• Strong record of publications in peer-reviewed journals or impactful technical reports.
• Experience applying machine learning to computational physics, chemistry, or materials science.
• Familiarity with plasma modelling or electron‑molecule interaction data.
• Experience with high-performance computing environments.

Responsibilities

• Design and implement machine learning models for property prediction and plasma simulation.
• Develop algorithms to accelerate complex plasma modelling workflows.
• Collaborate with scientists to integrate ML-driven predictions into software platforms.
• Present findings at international conferences and publish research outcomes.
• Contribute to project planning, reporting, and achievement of research milestones.

Skills

Machine learning

Python

Analytical skills

Communication

Collaboration

Education

PhD in Chemistry, Physics, Computer Science, Applied Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

Git

Job description

A scientific research company is seeking a Postdoctoral Scientist in Machine Learning based in London. The role involves designing and implementing algorithms for plasma modelling, collaborating with scientists, and publishing research. Ideal candidates hold a PhD and have a strong background in machine learning within scientific domains. This is a full-time position with a hybrid working model, 2-4 office days per month, and a salary of £35,000 to £45,000.