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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 research opportunities.
- 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 in King's Lynn 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 in King's Lynn
✨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 foot in the door.
✨Tip Number 2
Prepare for those interviews! Research the latest trends in AI and mental health. We should be ready to discuss how our skills can make a real-world impact, just like Hull Limited is aiming for.
✨Tip Number 3
Showcase your projects! If you've worked on relevant AI projects, make sure to highlight them. We want to demonstrate our hands-on experience and how it aligns with the role at Hull Limited.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We can tailor our submissions to match what Hull Limited is looking for, increasing our chances of landing that interview.
We think you need these skills to ace AI Research Fellow — Addiction & Mental Health in King's Lynn
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 working in addiction and mental health research. Share any personal experiences or motivations that drive your interest in this field. We love seeing genuine enthusiasm for making a difference!
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 keep track of your application. We’re looking forward to seeing 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.
✨Collaborative Spirit is Key
This role involves working closely with clinicians and other researchers, so be prepared to talk about your teamwork experiences. Highlight any collaborative projects you've been part of and how you contributed to achieving common goals.
✨Ethics Matter
Given the responsible use of AI tools is crucial in this field, be ready to discuss ethical considerations in your work. Think about how you would address potential challenges and ensure that your research aligns with ethical standards in mental health.