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- Tasks: Join a team to develop AI technologies and work on exciting research projects.
- Company: Brunel University London, a leader in engineering and technology.
- Benefits: Generous leave, training opportunities, hybrid working, and health support.
- Why this job: Make a real impact in AI research while advancing your career.
- Qualifications: Pursuing a PhD in relevant fields with strong programming skills.
- Other info: Inclusive workplace promoting diversity and excellent career growth.
The predicted salary is between 30600 - 32400 £ per year.
We are seeking to appoint a Research Assistant who will work on the ELOquence European project that aims to study Large Language Models in Artificial Intelligence.
Employment Details
- College/Directorate: College of Engineering, Design & Physical Sciences
- Department: Department of Electronic & Electrical Engineering
- Location: Brunel University London, Uxbridge Campus
- Contract Type: Fixed term until 31 December 2026
- Hours: Full-time
- Salary: £36,644 to £38,638 inclusive of London Weighting, potential to progress to £39,682 per annum inclusive of London Weighting
Responsibilities
- Work as part of the project team and develop artificial intelligence technologies relevant to Large Language Models.
- Attend regular project meetings, give presentations, and interact with internal and external consortium members.
- Prepare project reports and co‑author research papers.
- Travel as required for project activities.
Qualifications
- Working towards a PhD in Computer Engineering, Computer Science, Computer Systems Engineering, Electronic Engineering, or related discipline.
- Substantial research experience in Artificial Intelligence with a focus on design, training, and testing of Generative Adversarial Networks.
- Strong programming skills in Python, TensorFlow, Keras, or other machine learning toolboxes.
- Experience with Large Language Models is highly relevant.
- Demonstrated practical experience working with LLMs and evidence of actual work completed.
Benefits
- Generous annual leave package plus discretionary University closure days.
- Excellent training and development opportunities.
- Occupational pension scheme and range of health‑related support.
- Hybrid working approach.
Equal Opportunity
Brunel University wishes to promote an inclusive and diverse workforce and create a culture that values the contribution of all backgrounds and communities. All employees will be recruited, selected and appointed in line with our equality and diversity policy.
Research Assistant - 15563 in Uxbridge employer: Brunel Law School
Contact Detail:
Brunel Law School Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant - 15563 in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Brunel University on LinkedIn. A friendly chat can give us insider info about the team and the project, plus it shows our genuine interest.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of Large Language Models and Generative Adversarial Networks. We want to impress them with our expertise, so practice explaining complex concepts in simple terms.
✨Tip Number 3
Showcase our passion for AI during the interview! Share any personal projects or research we've done related to LLMs. This not only highlights our skills but also demonstrates our enthusiasm for the field.
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email reiterating our excitement about the role can keep us fresh in their minds. Plus, it shows we’re proactive and professional.
We think you need these skills to ace Research Assistant - 15563 in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Assistant role. Highlight your experience with Large Language Models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the ELOquence project. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Research Experience: Since this role involves substantial research, be sure to detail your experience in AI, especially with Generative Adversarial Networks. Include specific examples of your work and any papers you've co-authored. We want to know what you've achieved!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at StudySmarter. We can't wait to hear from you!
How to prepare for a job interview at Brunel Law School
✨Know Your Stuff
Make sure you brush up on your knowledge of Large Language Models and Generative Adversarial Networks. Be ready to discuss your research experience and any projects you've worked on that relate to AI. This will show that you're not just familiar with the theory, but also have practical insights.
✨Showcase Your Skills
Prepare to demonstrate your programming skills in Python, TensorFlow, or Keras. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any specific projects where you've used these tools effectively.
✨Engage with the Team
Since you'll be working as part of a project team, it's important to show that you can collaborate well. Be prepared to discuss how you've worked with others in the past, and think about examples where you've contributed to team success. This will help them see you as a team player.
✨Ask Thoughtful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the ELOquence project, the team dynamics, or future directions in AI research at Brunel. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
