Join our Team
Join our innovative team at Quantemol and contribute to groundbreaking work in plasma science. We offer a collaborative environment where your expertise will drive real-world impact and foster continuous professional growth.
Join our Team
Join our innovative team at Quantemol and contribute to groundbreaking work in plasma science. We offer a collaborative environment where your expertise will drive real-world impact and foster continuous professional growth.
Register General Interest
At Quantemol we are always keen to hear from talented scientists and developers who share our passion for advancing plasma physics, collision science, and computational modelling. Our work brings together experts in physics, chemistry, and computer science to develop cutting-edge tools and consultancy services for plasma science.
We are particularly interested in applicants with backgrounds in the following areas:
- Collision science and electron-molecule interactions
- Plasma modelling and simulation
- Scientific software development, especially in C++ and FORTRAN
If you have relevant expertise and are excited by the opportunity to contribute to our mission, we would love to hear from you.
Please send your CV and a cover letter to recruitment@quantemol.com. While we cannot guarantee a response to every application, we are very grateful for the time and effort taken by anyone applying.
Register General Interest
At Quantemol we are always keen to hear from talented scientists and developers who share our passion for advancing plasma physics, collision science, and computational modelling. Our work brings together experts in physics, chemistry, and computer science to develop cutting-edge tools and consultancy services for plasma science.
We are particularly interested in applicants with backgrounds in the following areas:
- Collision science and electron-molecule interactions
- Plasma modelling and simulation
- Scientific software development, especially in C++ and FORTRAN
If you have relevant expertise and are excited by the opportunity to contribute to our mission, we would love to hear from you.
Please send your CV and a cover letter to recruitment@quantemol.com. While we cannot guarantee a response to every application, we are very grateful for the time and effort taken by anyone applying.
We’re Hiring a Postdoctoral Scientist (Machine Learning) !
About the job
Job Summary
Join Quantemol to advance the frontiers of plasma science through the application of machine learning. You will design and implement algorithms to predict physical and chemical properties, and develop methods to expedite simulation times in plasma modelling. Working closely with scientists and software developers, your work will drive innovative computational tools and high-impact research. This is a full-time position based in London (hybrid working model with around 2-4 office days per month), with a salary range of £35,000 to £45,000.
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 Quantemol’s software platforms.
- Present findings at international conferences, workshops and to clients; publish research outcomes in peer-reviewed journals.
- Contribute to project planning, reporting, and achievement of research milestones.
- Participate in consultancy projects involving machine learning applications to plasma science.
- Work closely with software developers to deploy robust and efficient ML pipelines.
- Contribute to a collaborative, interdisciplinary research environment.
Qualifications
Required
- A PhD in Chemistry, Physics, Computer Science, Applied Mathematics, or a closely related discipline.
- Proven research experience in machine learning applied to scientific domains.
- Strong record of publications in peer-reviewed journals or impactful technical reports.
- Proficiency in Python and experience with ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn).
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills.
Preferred
- 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.
- Knowledge of version control systems (e.g. Git).
- Understanding of software development methodologies (e.g. Agile).