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- Tasks: Join a cutting-edge project designing AI tools for catalyst discovery.
- Company: Innovative research team at the forefront of machine learning and catalysis.
- Benefits: Gain hands-on experience, collaborate with experts, and enhance your skills.
- Why this job: Make a real impact in sustainable energy solutions using AI technology.
- Qualifications: Passion for research, knowledge in chemistry or AI, and teamwork skills.
- Other info: Dynamic, interdisciplinary environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly motivated Research Associate to join a 12-month project focused on building generative AI tools to accelerate the discovery of new homogeneous CO₂-to-methanol catalysts. This project leverages diffusion models and large open-source organometallic datasets to design multi-centered ligands using earth-abundant metals, inspired by enzymatic systems. The role involves data preparation, dimensionality reduction, and integration of open-source packages for diffusion modeling.
The project is an interdisciplinary collaboration between academic groups specializing in computational chemistry, machine learning, and organometallic synthesis as well as industry partners with expertise in pharmacophore design and AI-driven drug discovery. This full-time post offers a unique opportunity to contribute to cutting-edge research at the intersection of machine learning and catalysis.
homogeneous catalysis research scientist in London employer: beBeeGenerativeAI
Contact Detail:
beBeeGenerativeAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land homogeneous catalysis research scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those working on similar projects. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your work in homogeneous catalysis and AI tools. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by researching the company and its projects. Tailor your answers to highlight how your experience aligns with their goals, especially in generative AI and catalysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace homogeneous catalysis research scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Research Associate in Generative AI Catalyst Design. Highlight relevant experience in computational chemistry, machine learning, and any projects involving organometallic synthesis. We want to see how your background aligns with our cutting-edge research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about homogeneous catalysis and generative AI. Share specific examples of your work that relate to the job description, and let us know how you can contribute to our interdisciplinary team.
Showcase Your Skills: Don’t forget to highlight your technical skills! Mention your experience with data preparation, dimensionality reduction, and any open-source packages you've used for diffusion modeling. We’re looking for someone who can hit the ground running, so make those skills pop!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at beBeeGenerativeAI
✨Know Your Catalysts
Before the interview, brush up on your knowledge of homogeneous catalysis and the specific catalysts mentioned in the job description. Familiarise yourself with recent advancements in CO₂-to-methanol conversion and be ready to discuss how generative AI can enhance catalyst design.
✨Showcase Your Interdisciplinary Skills
This role involves collaboration across various fields like computational chemistry and machine learning. Prepare examples from your past experiences that demonstrate your ability to work in interdisciplinary teams and how you’ve successfully integrated different scientific approaches.
✨Prepare for Technical Questions
Expect technical questions related to data preparation, dimensionality reduction, and diffusion modelling. Review relevant concepts and be ready to explain how you would apply them in the context of the project. Practice articulating your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared about the project and the team dynamics. This shows your genuine interest in the role and helps you assess if the position aligns with your career goals. For example, ask about the specific challenges they face in catalyst design.
