At a Glance
- Tasks: Conduct AI research, analyse data, develop tools, and present findings at conferences.
- Company: Leeds Beckett University, collaborating with South-West Yorkshire Partnership NHS Foundation Trust.
- Benefits: Generous pension schemes, flexible working hours, and professional development opportunities.
- Other info: 12-month fixed-term position with potential for career growth.
- Why this job: Join a transformative research team and make a real impact in health tech.
- Qualifications: Experience in AI research and strong analytical skills.
The predicted salary is between 30000 - 40000 £ per year.
Leeds Beckett University is seeking a Research Officer for a 12-month fixed-term position focused on AI research. The role involves data analysis, tool development, writing scientific papers, and presenting at conferences.
Join our team contributing to transformative research in collaboration with the South-West Yorkshire Partnership NHS Foundation Trust. We offer a range of benefits including generous pension schemes, flexible working, and more.
AI Research Officer — Health Tech & Neurosymbolic AI, Flexible Work in Leeds employer: Leeds Beckett University
Leeds Beckett University is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the field of AI research. With flexible working arrangements, generous pension schemes, and opportunities for professional development, employees are empowered to grow their careers while contributing to impactful projects alongside the South-West Yorkshire Partnership NHS Foundation Trust.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Officer — Health Tech & Neurosymbolic AI, Flexible Work in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and health tech fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of neuroscientific AI applications. We recommend practising common interview questions and having examples ready that showcase your data analysis skills.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you email expressing your enthusiasm for the role. It shows you’re keen and can help you stand out.
✨Tip Number 4
Apply through our website for the best chance at landing the job! We love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Research Officer — Health Tech & Neurosymbolic AI, Flexible Work in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in AI research and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about health tech and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Research Skills:Since this role involves writing scientific papers and presenting at conferences, include examples of your previous work in these areas. We love seeing how you’ve contributed to transformative research!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Leeds Beckett University
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially in health tech and neurosymbolic AI. Familiarise yourself with key concepts and recent research papers that relate to the role. This will not only show your passion but also your commitment to staying updated in this fast-evolving field.
✨Showcase Your Data Skills
Since the role involves data analysis, be prepared to discuss your experience with data tools and methodologies. Bring examples of past projects where you've successfully analysed data or developed tools. This will help demonstrate your practical skills and how they can benefit the team.
✨Prepare for Scientific Discussions
Expect questions about writing scientific papers and presenting at conferences. Think of specific instances where you've done this before, and be ready to discuss your approach to research dissemination. Highlighting your communication skills will be key here!
✨Embrace Flexibility
With flexible working being a part of the role, be ready to discuss how you manage your time and work effectively in a remote or hybrid environment. Share strategies that have worked for you in the past, as this will show that you're adaptable and can thrive in various settings.
