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- Tasks: Develop advanced material science solutions for AI and semiconductors.
- Company: Leading AI partnership firm with a focus on innovation.
- Benefits: Competitive hourly pay, flexible hours, and remote work options.
- Why this job: Join a cutting-edge team and contribute to groundbreaking research in material science.
- Qualifications: Master's or PhD in Material Science, coding skills in Python or MATLAB.
- Other info: Flexible workload of 10-40 hours per week.
The predicted salary is between 56 - 67 £ per hour.
A leading AI partnership firm is seeking a Material Specialist to develop advanced material science solutions. This remote role requires expertise in semiconductor materials or molecular modeling, preferably with a Master's or PhD in Material Science.
Candidates should be fluent in English and possess strong coding skills in Python or MATLAB.
The position offers compensation between $75 and $90 per hour, with the flexibility of working 10-40 hours per week.
Remote Material Scientist for AI Research & Semiconductors in London employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Material Scientist for AI Research & Semiconductors in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and semiconductor fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in material science, especially those involving Python or MATLAB. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for virtual interviews by practising common questions related to material science and coding. Make sure you can explain your thought process clearly, as communication is key in remote roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Material Scientist for AI Research & Semiconductors in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in semiconductor materials or molecular modeling. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about material science and how your skills in Python or MATLAB can contribute to our AI research. Let us know what excites you about this opportunity!
Showcase Your Coding Skills: Since strong coding skills are a must, consider including examples of your work in Python or MATLAB. Whether it’s a project or a snippet of code, we’d love to see how you apply your technical skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Alignerr
✨Know Your Materials
Make sure you brush up on your knowledge of semiconductor materials and molecular modeling. Be ready to discuss specific projects or research you've done in these areas, as it shows your expertise and passion for the field.
✨Show Off Your Coding Skills
Since coding in Python or MATLAB is crucial for this role, prepare to demonstrate your skills. You might be asked to solve a problem or explain how you've used these languages in past projects, so have some examples ready.
✨Understand the Company’s Vision
Research the AI partnership firm and understand their goals and projects. This will help you tailor your answers to align with their mission and show that you're genuinely interested in contributing to their success.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This not only shows your interest but also gives you a chance to assess if the company is the right fit for you. Think about aspects like team dynamics, project expectations, and growth opportunities.
