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- Tasks: Apply AI and data science to improve mental health outcomes in addiction research.
- Company: Hull Limited, a leader in addiction and mental health research.
- Benefits: Competitive salary, collaborative environment, and impactful work.
- Other info: Join a dynamic team focused on real-world impact and innovation.
- Why this job: Make a real difference in mental health using cutting-edge AI technology.
- Qualifications: Strong research skills in AI and data science.
The predicted salary is between 39906 - 46049 £ per year.
Hull Limited is seeking a Research Fellow in AI for Addiction and Mental Health Research at the University of Hull. This full-time position is an exciting opportunity for a skilled researcher to apply AI and data science methods in improving mental health outcomes.
The Centre for Addiction and Mental Health Research focuses on real-world impact, addressing challenges in substance use and mental health. The successful candidate will collaborate with clinicians and researchers, ensuring responsible use of AI tools.
Salary ranges from £39,906.00 to £46,049.00.
AI Research Fellow — Addiction & Mental Health employer: Hull Limited.
Contact Detail:
Hull Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Fellow — Addiction & Mental Health
✨Tip Number 1
Network like a pro! Reach out to professionals in the addiction and mental health field on LinkedIn. We can leverage our connections to get insights and maybe even a referral for that AI Research Fellow position.
✨Tip Number 2
Prepare for those interviews! Brush up on your AI and data science knowledge, especially as it relates to mental health. We should also think about how we can demonstrate our collaborative skills with clinicians and researchers.
✨Tip Number 3
Showcase your passion! When we get the chance to chat with potential employers, let’s share why we care about improving mental health outcomes. Our enthusiasm can really set us apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can keep track of our applications easily and stay updated on any new opportunities.
We think you need these skills to ace AI Research Fellow — Addiction & Mental Health
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Research Fellow position. Highlight your relevant experience in AI and data science, especially as it relates to addiction and mental health. We want to see how your skills can make a real-world impact!
Showcase Your Passion: Let us know why you're excited about this role! Share your enthusiasm for improving mental health outcomes and how you envision using AI in this field. A genuine passion can really set your application apart from the rest.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our official website! This ensures that we receive all your details correctly and helps us process your application smoothly. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Hull Limited.
✨Know Your AI Inside Out
Make sure you brush up on the latest AI techniques and how they can be applied to addiction and mental health. Be ready to discuss specific projects or research you've done that relates to this field, as it shows your genuine interest and expertise.
✨Understand the Real-World Impact
Since Hull Limited focuses on real-world applications, think about how your work can translate into tangible benefits for mental health outcomes. Prepare examples of how your research has made a difference or could make a difference in practical settings.
✨Collaborate Like a Pro
This role involves working closely with clinicians and other researchers. Be prepared to talk about your teamwork experiences, especially in interdisciplinary settings. Highlight any successful collaborations and how you navigated challenges together.
✨Ethics Matter
AI in mental health comes with ethical considerations. Familiarise yourself with responsible AI practices and be ready to discuss how you would ensure ethical standards in your research. This will show that you’re not just technically skilled but also socially aware.