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- Tasks: Develop AI technologies and co-author research papers on cutting-edge projects.
- Company: Prominent UK university with a focus on innovative AI research.
- Benefits: Full-time hours, fixed-term contract, and opportunities for academic growth.
- Why this job: Join a pioneering project in AI and contribute to groundbreaking research.
- Qualifications: PhD candidates with AI research experience and skills in Python and TensorFlow.
- Other info: Hybrid work model with a collaborative research environment.
The predicted salary is between 36000 - 60000 £ per year.
A prominent UK university is seeking a Research Assistant for the ELOQUENCE project aiming at studying Large Language Models in AI. The role involves developing AI technologies, participating in project meetings, and co-authoring research papers.
Ideal candidates should be working towards a PhD with substantial AI research experience. Skills in Python, TensorFlow, and experience with Generative Adversarial Networks are essential.
The position offers full-time hours on a fixed-term contract until December 2026.
AI Research Assistant: LLM Architecture & GANs (Hybrid) in Uxbridge employer: Brunel University London
Contact Detail:
Brunel University London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Assistant: LLM Architecture & GANs (Hybrid) in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the university or in similar roles. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects in Python, TensorFlow, and GANs. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your AI knowledge and coding skills. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your application status easily.
We think you need these skills to ace AI Research Assistant: LLM Architecture & GANs (Hybrid) in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI research, especially with Large Language Models and Generative Adversarial Networks. We want to see how your skills in Python and TensorFlow shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the ELOQUENCE project. Share your passion for AI and any specific projects or research that align with our goals. Keep it engaging!
Showcase Your Research Experience: Since we're looking for candidates with substantial AI research experience, make sure to detail any relevant projects or papers you've worked on. We love seeing your contributions to the field!
Apply Through Our Website: To make sure your application gets to us smoothly, apply directly through our website. It’s the best way to ensure we see your amazing skills and experience right away!
How to prepare for a job interview at Brunel University London
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Large Language Models and Generative Adversarial Networks. Be ready to discuss your previous research experiences and how they relate to the ELOQUENCE project. This shows you're not just familiar with the theory but can also apply it practically.
✨Show Off Your Coding Skills
Since Python and TensorFlow are key for this role, be prepared to talk about specific projects where you've used these tools. If possible, bring along examples of your code or projects that demonstrate your proficiency. This will help us see your technical skills in action.
✨Engage in Project Discussions
During the interview, don’t hesitate to ask questions about the ELOQUENCE project and its goals. This shows your genuine interest and helps you understand how you can contribute. Plus, it gives you a chance to showcase your critical thinking and problem-solving skills.
✨Prepare for Collaboration
As this role involves co-authoring research papers and participating in meetings, think about your past experiences working in teams. Be ready to share examples of how you've collaborated effectively with others, as teamwork is crucial in research environments.
