AI Research Assistant: LLMs | Hybrid, London in Uxbridge
AI Research Assistant: LLMs | Hybrid, London

AI Research Assistant: LLMs | Hybrid, London in Uxbridge

Uxbridge Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Collaborate on AI architecture design and publish groundbreaking research findings.
  • Company: Prominent UK university leading in AI research and innovation.
  • Benefits: Generous benefits package and flexible hybrid working options.
  • Why this job: Join a cutting-edge project and shape the future of AI with your research.
  • Qualifications: PhD in a relevant field and experience in AI and Python.
  • Other info: Exciting opportunity for career growth in a dynamic research environment.

The predicted salary is between 36000 - 60000 £ per year.

A prominent UK university is seeking a Research Assistant to contribute to the ELOQUENCE project focusing on Large Language Models in AI. The role involves:

  • Collaboration on AI architecture design
  • Conducting meetings
  • Publishing research findings

Applicants should hold or be pursuing a PhD in a relevant field and have experience in Artificial Intelligence, proficiency in Python, and hands-on experience with generative models. The position offers a generous benefits package and embraces hybrid working.

AI Research Assistant: LLMs | Hybrid, London in Uxbridge employer: Brunel University of London

This prominent UK university is an excellent employer, offering a vibrant work culture that fosters innovation and collaboration in the field of Artificial Intelligence. With a generous benefits package and opportunities for professional growth, employees are encouraged to engage in meaningful research while enjoying the flexibility of hybrid working arrangements in the dynamic city of London.
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Contact Detail:

Brunel University of London Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Research Assistant: LLMs | Hybrid, London in Uxbridge

✨Tip Number 1

Network like a pro! Reach out to current or former employees at the university or in the AI field. A friendly chat can give us insider info and might even lead to a referral.

✨Tip Number 2

Prepare for those interviews! Brush up on your knowledge of Large Language Models and be ready to discuss your experience with Python and generative models. We want to show them we’re the perfect fit!

✨Tip Number 3

Showcase our passion for AI! When we get the chance to present our work or ideas, let’s make sure to highlight our enthusiasm for the ELOQUENCE project and how we can contribute to its success.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily.

We think you need these skills to ace AI Research Assistant: LLMs | Hybrid, London in Uxbridge

Artificial Intelligence
Large Language Models
AI Architecture Design
Python
Generative Models
Research Publication
Collaboration Skills
PhD in a Relevant Field

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI and Large Language Models shine through. We want to see how your interests align with the ELOQUENCE project and why you're excited about contributing to cutting-edge research.

Highlight Relevant Experience: Make sure to detail your experience in Artificial Intelligence and any hands-on work with generative models. We’re looking for specific examples that showcase your skills in Python and your ability to collaborate on complex projects.

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the role. Mention how your background and skills make you a perfect fit for the Research Assistant position and the goals of the ELOQUENCE project.

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 that you’re serious about joining our team!

How to prepare for a job interview at Brunel University of London

✨Know Your AI Stuff

Make sure you brush up on the latest trends and developments in Large Language Models. Be ready to discuss your previous experience with generative models and how they relate to the ELOQUENCE project. This shows your passion and expertise in the field.

✨Showcase Your Python Skills

Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a coding problem or explain how you've used Python in past projects. Practising common algorithms or data structures can really help you shine.

✨Collaboration is Key

Since the role involves collaboration, think of examples where you've successfully worked in a team. Be ready to discuss how you handle meetings and share research findings. Highlighting your communication skills will show you're a great fit for their collaborative environment.

✨Ask Insightful Questions

Prepare thoughtful questions about the ELOQUENCE project and the university's research goals. This not only shows your interest but also helps you gauge if the role aligns with your career aspirations. It’s a great way to engage with the interviewers!

AI Research Assistant: LLMs | Hybrid, London in Uxbridge
Brunel University of London
Location: Uxbridge
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