At a Glance
- Tasks: Teach and research AI in Social Sciences, shaping future minds.
- Company: Leading UK university in Manchester with a strong academic reputation.
- Benefits: Market-leading pension scheme, flexible working arrangements, and excellent career support.
- Other info: Permanent, full-time role with opportunities for professional growth.
- Why this job: Join a vibrant academic community and make a real impact in AI research.
- Qualifications: Strong track record in AI research and experience in securing funding.
The predicted salary is between 36000 - 60000 € per year.
A leading UK university in Manchester is seeking a Lecturer/Senior Lecturer in Artificial Intelligence to contribute to the Department of Social Statistics. The ideal candidate should have a strong track record in AI research and a proven ability to secure research funding. This permanent, full-time role offers excellent benefits such as a market-leading pension scheme and flexible working arrangements.
AI Academic in Social Sciences - Lecturer (Hybrid) in Manchester employer: The University of Manchester
As a leading university in Manchester, we pride ourselves on fostering a collaborative and innovative work culture that empowers our staff to excel in their academic pursuits. With a strong commitment to employee growth, we offer extensive professional development opportunities, alongside a market-leading pension scheme and flexible working arrangements that support a healthy work-life balance. Join us to be part of a vibrant academic community dedicated to advancing research in Artificial Intelligence within the social sciences.
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Academic in Social Sciences - Lecturer (Hybrid) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former staff at the university and connect with them on LinkedIn. A friendly chat can give us insights into the department and might even lead to a referral.
✨Tip Number 2
Showcase your research! Prepare a portfolio that highlights your AI projects and any funding you've secured. This will help us stand out during interviews and demonstrate our expertise in the field.
✨Tip Number 3
Practice makes perfect! Set up mock interviews with friends or colleagues to refine our answers, especially around our research experience and teaching philosophy. The more comfortable we are, the better we'll perform!
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the university's goals in social statistics.
We think you need these skills to ace AI Academic in Social Sciences - Lecturer (Hybrid) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI research and any relevant projects you've worked on. We want to see how your background aligns 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 AI in social sciences and how you can contribute to our department. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Funding Success:If you’ve secured research funding before, make sure to mention it! We’re looking for candidates who can bring in resources, so highlight any grants or projects you’ve led that demonstrate your ability to attract funding.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at The University of Manchester
✨Know Your AI Stuff
Make sure you brush up on the latest trends and research in AI, especially as it relates to social sciences. Be ready to discuss your own research and how it aligns with the department's goals.
✨Showcase Your Funding Success
Prepare to talk about your experience in securing research funding. Have specific examples ready that highlight your ability to attract grants and how those projects have contributed to your field.
✨Engage with the Department's Vision
Familiarise yourself with the university's mission and the specific goals of the Department of Social Statistics. Think about how your expertise can help advance their objectives and be ready to share your ideas.
✨Practice Your Teaching Style
Since this is a lecturer role, be prepared to discuss your teaching philosophy and methods. Consider doing a mock lecture or presentation to demonstrate your approach to engaging students in AI topics.
