At a Glance
- Tasks: Lead groundbreaking AI research and mentor PhD students while driving innovation.
- Company: Join the University of Wolverhampton, a hub for interdisciplinary education and research.
- Benefits: Competitive salary, opportunities for funding, and a vibrant academic community.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a significant impact in the field of AI and shape the future of technology.
- Qualifications: PhD in a related field with proven research excellence and funding success.
The predicted salary is between 55000 - 70000 £ per year.
Artificial Intelligence is a strategic growth area for the University of Wolverhampton, and we are seeking to appoint an exceptional and ambitious individual to join our team as a Reader in Artificial Intelligence. The School of Engineering, Computing and Mathematical Sciences is a large interdisciplinary centre for education, research, and enterprise. We are looking for an experienced researcher to help lead, drive, and advance our research and knowledge exchange activities in Artificial Intelligence.
Key Responsibilities
- Boost the already successful research carried out by the school.
- Produce REF‑returnable outputs, attract external income, seek industrial collaborations, undertake some teaching, and supervise PhD students.
- Lead research in artificial intelligence, with a PhD (or equivalent) in a related field and extensive experience in AI research at a university, research institute, or in a related part of the private sector in the UK or abroad.
- Be proficient in a range of subject‑specific skills and ideally have extensive experience in site‑based research settings.
- Demonstrate the ability to work independently to develop new research objectives and proposals, including contribution to securing external funding and collaborative projects.
Qualifications
You should have evidence of an individual track record in research which is at the cutting edge of the relevant fields and is recognised internationally (e.g., through publications in journals). You should have a track record of having successfully obtained funding from external sources and successfully completed projects.
Contact
For an informal discussion about the above post please contact Professor Tracy Warr, Associate Dean Research and Knowledge Exchange (t.warr@wlv.ac.uk).
Reader in Artificial Intelligence in Wolverhampton employer: University of Wolverhampton
The University of Wolverhampton is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of Artificial Intelligence. With a strong emphasis on research excellence, employees benefit from extensive professional development opportunities, access to cutting-edge resources, and the chance to engage with industry partners, all within a supportive academic environment that values diversity and inclusion.
Contact Details:
University of Wolverhampton Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Reader in Artificial Intelligence in Wolverhampton
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and seminars related to Artificial Intelligence. It's a great way to meet potential collaborators and get your name out there in the academic community.
✨Tip Number 2
Showcase your research! Create a personal website or an online portfolio that highlights your publications, projects, and any teaching experience. This gives you a platform to demonstrate your expertise and passion for AI.
✨Tip Number 3
Don’t shy away from reaching out! If you see a position that excites you, drop an email to the hiring manager or relevant faculty member. A friendly message can make you stand out and show your genuine interest.
✨Tip Number 4
Apply through our website! We want to see your application directly, so make sure to submit it through our platform. It’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Reader in Artificial Intelligence in Wolverhampton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your experience aligns with the role of Reader in Artificial Intelligence. We want to see how your unique skills and background can boost our research efforts at the University of Wolverhampton.
Showcase Your Research Impact:Don’t just list your publications; explain their significance! We’re looking for evidence of your cutting-edge research and how it’s recognised internationally. This is your chance to shine, so make it count!
Funding and Collaboration Experience:Be sure to include any successful funding applications or collaborative projects you've led. We value your ability to attract external income and partnerships, so let us know how you’ve made an impact in this area.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at University of Wolverhampton
✨Know Your Research Inside Out
Make sure you can discuss your past research projects in detail. Be prepared to explain how your work aligns with the university's goals in Artificial Intelligence and how it can contribute to their ongoing success.
✨Showcase Your Funding Success
Be ready to talk about your experience in securing external funding. Highlight specific projects where you've successfully attracted financial support, as this is a key responsibility for the role.
✨Prepare for Teaching Questions
Since the position involves some teaching, think about your teaching philosophy and experiences. Prepare examples of how you've engaged students and fostered a collaborative learning environment.
✨Engage with Future Collaborations
Demonstrate your ability to build partnerships by discussing potential industrial collaborations. Think about how your research could benefit industry partners and be ready to share ideas on how to initiate these relationships.
