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- Tasks: Advance research on sustainable materials using computational models and machine learning.
- Company: A tech impact startup focused on innovation and sustainability.
- Benefits: Competitive salary, bonuses, and flexible working arrangements.
- Why this job: Join a mission-driven team making a real difference in sustainable technology.
- Qualifications: Strong background in polymer informatics and computational modeling required.
- Other info: Supportive environment with opportunities for growth and development.
The predicted salary is between 24000 - 36000 £ per year.
A tech impact startup is seeking a part-time Computational Materials Scientist or Computational Chemist in London. The role involves advancing research on sustainable materials, applying computational models and machine learning to drive product innovation.
Candidates should have a strong background in polymer informatics and computational modeling.
The startup offers a supportive environment with competitive salary, bonuses, and flexible working arrangements.
Part-Time Computational Materials Scientist | Bio-Based ML in London employer: Materiom
Contact Detail:
Materiom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Part-Time Computational Materials Scientist | Bio-Based ML in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational materials and machine learning. Attend industry events or webinars, and don’t be shy to slide into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in polymer informatics and computational modelling. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table. We love seeing creativity and innovation!
✨Tip Number 3
Prepare for those interviews! Research the startup’s mission and values, especially their focus on sustainable materials. We recommend practising common interview questions and even some technical ones related to machine learning and computational chemistry. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in the tech world. Let’s get you that part-time role and start innovating together!
We think you need these skills to ace Part-Time Computational Materials Scientist | Bio-Based ML in London
Some tips for your application 🫡
Show Your Passion for Sustainability: When writing your application, let us see your enthusiasm for sustainable materials. Share any relevant projects or experiences that highlight your commitment to this field, as it’s a big part of what we’re all about!
Highlight Your Technical Skills: Make sure to showcase your background in polymer informatics and computational modelling. We want to know how your skills can contribute to our mission, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific aspects of the job description that resonate with you and explain how your experience aligns with our needs. It shows us you’ve done your homework!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Materiom
✨Know Your Stuff
Make sure you brush up on your knowledge of polymer informatics and computational modelling. Be ready to discuss specific projects or research you've worked on that relate to sustainable materials. This will show your passion and expertise in the field.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've used computational models and machine learning to tackle real-world problems. Think of examples where your innovative approach led to product advancements or improved processes, as this aligns perfectly with what the startup is looking for.
✨Ask Insightful Questions
Come prepared with questions that demonstrate your interest in the company's mission and future projects. Inquire about their current research initiatives or how they envision the role of a Computational Materials Scientist evolving within the team. This shows you're not just interested in the job, but also in contributing to their vision.
✨Emphasise Flexibility and Teamwork
Since the startup offers flexible working arrangements, highlight your adaptability and ability to work collaboratively in a dynamic environment. Share experiences where you've successfully worked in teams or adapted to changing project requirements, as this will resonate well with their supportive culture.
