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 field and experience in machine learning applications.
The predicted salary is between 30000 - 45000 £ per year.
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).
Postdoctoral Scientist (Machine Learning) in England employer: Quantemol Ltd
At Quantemol, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility while being based in the vibrant city of London, providing employees with unique opportunities for professional growth and engagement in high-impact research. With a focus on interdisciplinary collaboration and cutting-edge technology, we empower our team to make meaningful contributions to the field of plasma science through machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Scientist (Machine Learning) in England
✨Network Like a Pro
Get out there and connect with folks in the plasma science and machine learning communities. Attend conferences, workshops, or even local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job!
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past projects, especially those involving machine learning in scientific domains. We want to see your passion and expertise shine through!
✨Tailor Your Approach
Before any interview, do your homework on Quantemol and their work in plasma science. We recommend tailoring your discussions to highlight how your skills can directly contribute to their projects. It shows you’re genuinely interested and invested!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Postdoctoral Scientist (Machine Learning) in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and any relevant research you've done. We want to see how your skills align with the role, so don’t be shy about showcasing your publications and projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about plasma science and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Since this role involves a lot of technical work, make sure to mention your proficiency in Python and any ML frameworks you’ve used. If you have experience with high-performance computing or version control systems, definitely include that too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Quantemol!
How to prepare for a job interview at Quantemol Ltd
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and algorithms, especially those relevant to plasma science. Be ready to discuss your previous research and how it applies to the role at Quantemol.
✨Showcase Your Collaboration Skills
Since this role involves working closely with scientists and software developers, prepare examples of past collaborations. Highlight how you contributed to team projects and how you can integrate ML-driven predictions into existing platforms.
✨Prepare for Technical Questions
Expect questions about Python and ML frameworks like TensorFlow or PyTorch. Be ready to explain your experience with these tools and how you've used them in your research. A practical demonstration of your coding skills could also be beneficial.
✨Communicate Clearly
You'll need to present findings and publish research, so practice explaining complex concepts in simple terms. Think about how you would convey your work to a non-specialist audience, as well as to peers at conferences.
