Senior Lecturer in Artificial Intelligence / Data Science (x 2 Positions) in Wolverhampton

Senior Lecturer in Artificial Intelligence / Data Science (x 2 Positions) in Wolverhampton

Wolverhampton Full-Time 50000 - 70000 £ / year (est.) No working from home possible
University of Wolverhampton

At a Glance

  • Tasks: Lead research in AI/Data Science and inspire students through teaching.
  • Company: Join a forward-thinking university with a focus on innovation.
  • Benefits: Competitive salary, research funding opportunities, and professional development.
  • Other info: Collaborative environment with diverse academic and professional teams.
  • Why this job: Shape the future of AI/Data Science while mentoring the next generation.
  • Qualifications: PhD in AI/Data Science and proven research experience required.

The predicted salary is between 50000 - 70000 £ per year.

We are seeking two experienced and enthusiastic candidates to join us as Senior Lecturers in AI or Data Science. You will work with staff and students in the pursuit of research both as an individual and as part of the wider School and Faculty activities, encompassing complementary research areas by contributing to the work of established research groups.

Hence, you should have a track record of dissemination of research outputs / achievements in high quality scientific/technical journals and have the potential to attract research funding and/or generate external income. You must have a PhD degree in Artificial Intelligence or Data Science or a very closely related subject.

You must be committed to the organisation and delivery of undergraduate and postgraduate programmes across the Department of Computing and Mathematical Sciences on undergraduate and postgraduate courses, across the breadth and depth of its subject areas. Membership of a professional body will be essential.

You will be expected to work in a multi-disciplinary team of professionals / academics, and also work very closely with all (academic and non-academic) staff at School and University levels.

Senior Lecturer in Artificial Intelligence / Data Science (x 2 Positions) in Wolverhampton employer: University of Wolverhampton

As a leading institution in the field of Computing and Mathematical Sciences, we pride ourselves on fostering a collaborative and innovative work culture that encourages professional growth and development. Our commitment to research excellence is matched by our dedication to providing a supportive environment for our staff, with ample opportunities for career advancement and engagement in impactful projects. Located in a vibrant academic community, you will benefit from access to cutting-edge resources and a network of like-minded professionals, making this an exceptional place to further your career in AI and Data Science.

University of Wolverhampton

Contact Details:

University of Wolverhampton Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Lecturer in Artificial Intelligence / Data Science (x 2 Positions) in Wolverhampton

Tip Number 1

Network like a pro! Attend conferences, workshops, and seminars related to AI and Data Science. It's a great way to meet potential colleagues and collaborators, plus you might just bump into someone from the hiring team!

Tip Number 2

Show off your research! Prepare a portfolio of your publications and projects. When you get the chance to chat with interviewers, highlight your contributions to high-quality journals and any successful funding applications you've been involved in.

Tip Number 3

Be ready to discuss teaching strategies! Since you'll be involved in delivering programmes, think about how you can engage students in both undergraduate and postgraduate courses. Share your innovative ideas during interviews to stand out.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive and take the initiative to connect with us directly.

We think you need these skills to ace Senior Lecturer in Artificial Intelligence / Data Science (x 2 Positions) in Wolverhampton

Research Dissemination
PhD in Artificial Intelligence or Data Science
Attracting Research Funding
Generating External Income
Curriculum Development
Teaching Skills
Collaboration in Multi-Disciplinary Teams

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your track record in research and any publications you've got under your belt. We want to see how you've contributed to high-quality journals and what makes you stand out in the field of AI or Data Science.

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Lecturer role. Show us how your skills and experiences align with our needs in teaching and research.

Be Clear About Your Vision:We’re looking for candidates who can attract research funding and generate external income. In your application, share your vision for future research projects and how you plan to engage with the wider academic community.

Apply Through Our Website:To make sure your application gets to us without a hitch, apply directly through our website. It’s the best way to ensure we receive all your details and can consider you for this exciting opportunity!

How to prepare for a job interview at University of Wolverhampton

Know Your Research Inside Out

Make sure you can discuss your research achievements and outputs confidently. Be prepared to explain how your work aligns with the current trends in AI and Data Science, and how it can contribute to the university's research goals.

Showcase Your Teaching Philosophy

Be ready to articulate your approach to teaching both undergraduate and postgraduate students. Think about specific examples of how you've engaged students in the past and how you plan to deliver courses that inspire and educate.

Demonstrate Teamwork Skills

Since collaboration is key in this role, prepare examples of how you've successfully worked in multi-disciplinary teams. Highlight your ability to communicate effectively with both academic and non-academic staff.

Prepare for Funding Discussions

Research potential funding sources relevant to your field and be ready to discuss how you would attract research funding. Show enthusiasm for generating external income and how it can benefit the department and university.