At a Glance
- Tasks: Design and implement machine learning models for plasma science and simulation.
- Company: Join Quantemol, a leader in plasma science innovation.
- Benefits: Competitive salary, hybrid working model, and opportunities for impactful research.
- Other info: Collaborative environment with excellent career growth and international exposure.
- Why this job: Make a real difference in plasma science with cutting-edge machine learning.
- Qualifications: PhD in relevant fields and experience in machine learning applications.
Postdoctoral Scientist (Machine Learning)
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
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.
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).
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Postdoctoral Scientist (Machine Learning) in London employer: Quantemol Ltd
At Quantemol, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the field of plasma science. Our hybrid working model allows for flexibility while maintaining a strong team culture, and we offer ample opportunities for professional growth through engaging projects and international exposure. Join us in London to be part of a dynamic environment where your contributions will directly impact cutting-edge research and development.
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We think this is how you could land Postdoctoral Scientist (Machine Learning) in London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Quantemol Ltd, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
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We think you need these skills to ace Postdoctoral Scientist (Machine Learning) in London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Quantemol Ltd. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Quantemol Ltd. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Quantemol Ltd
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Quantemol Ltd. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Quantemol Ltd to drive research projects forward.
