At a Glance
- Tasks: Collaborate on AI prototypes, optimise performance, and publish groundbreaking research.
- Company: Leading technology research organisation based in Edinburgh.
- Benefits: Gain unique industrial research experience in a dynamic environment.
- Other info: Exciting opportunities for growth and innovation await you!
- Why this job: Kickstart your career in AI with hands-on projects and impactful research.
- Qualifications: Recent graduates with a strong foundation in computer science.
The predicted salary is between 28000 - 38000 £ per year.
A technology research organization in Edinburgh is looking for contract Research Scientists with expertise in AI infrastructure and systems. Ideal candidates are recent graduates with a strong foundation in computer science.
Responsibilities include:
- Collaborating on prototypes
- Optimizing performance
- Publishing research findings
This role offers unique industrial research experience in a dynamic environment.
AI Systems & Infrastructure Research Scientist employer: Project People
Join a leading technology research organisation in Edinburgh that values innovation and collaboration, offering a vibrant work culture where your contributions directly impact cutting-edge AI systems. With a focus on employee growth, you will have access to mentorship opportunities and the chance to publish your research findings, all while working in a dynamic environment that fosters creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Systems & Infrastructure Research Scientist
✨Tip Number 1
Network like a pro! Reach out to your university alumni or attend tech meetups in Edinburgh. You never know who might have a lead on that perfect AI Systems & Infrastructure Research Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI infrastructure. This will give you an edge when discussing prototypes and optimising performance during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your computer science fundamentals. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, it’s a great way to stay updated on new roles in the tech research space.
We think you need these skills to ace AI Systems & Infrastructure Research Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your expertise in AI infrastructure and systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI research and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Research Experience:If you've worked on any prototypes or published research, make sure to mention it! We love seeing candidates who have hands-on experience, so highlight any relevant projects that demonstrate your capabilities.
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 this exciting opportunity in our dynamic environment!
How to prepare for a job interview at Project People
✨Know Your AI Basics
Brush up on your foundational knowledge in computer science and AI systems. Be prepared to discuss key concepts, algorithms, and recent advancements in the field. This will show your passion and understanding of the subject matter.
✨Showcase Your Collaboration Skills
Since the role involves collaborating on prototypes, think of examples from your past experiences where you worked effectively in a team. Highlight how you contributed to group projects and what you learned from those interactions.
✨Prepare for Technical Questions
Expect technical questions related to AI infrastructure and performance optimisation. Practice explaining your thought process clearly and concisely. Use real-world examples to demonstrate your problem-solving skills.
✨Research the Organisation
Familiarise yourself with the technology research organisation's recent projects and publications. This will not only help you tailor your answers but also show your genuine interest in their work and how you can contribute to their goals.
