At a Glance
- Tasks: Lead innovative research in AI and teach future tech leaders.
- Company: Join a top UK university with a vibrant STEM faculty.
- Benefits: Fixed-term role with career development and state-of-the-art facilities.
- Why this job: Make a real impact in AI education and research while shaping the future.
- Qualifications: PhD in Computer Science and proven teaching and research excellence.
- Other info: Collaborate with industry and engage in cutting-edge projects.
The predicted salary is between 36000 - 60000 £ per year.
We seek to appoint a Senior Lecturer or Associate Professor in Computer Science with a broad profile in contemporary applications of Artificial Intelligence (AI). Applicants should have a track record of publications and academic achievement to complement the research in the School of Computer Science and Mathematics, and the ability to contribute to the disciplines of AI and Computer Science, preferably in applications related to explainable AI and applications of AI.
This is a fixed-term opportunity for an ambitious academic who will extend the School’s already strong research and teaching portfolio in these fields by working actively within the newly established Knowledge Exchange and Research Institute, KERI, and contributing to our new BSc AI course. While this position is fixed-term for 3 (three) years, it provides a full range of opportunities and tools to facilitate substantive career development and a platform for contributing to this cross-disciplinary field through research activities, publications and an impact on both industry and society at large.
The Person
An effective communicator, you will hold a PhD in Computer Science or a closely related area and an appropriate HE teaching qualification, such as FHEA, in addition to an established and rich research profile. You will make a strong contribution to the profile of the School through demonstrable excellence and leadership in research and teaching. You will work with a team of talented lecturers to deliver vibrant, relevant education to your students, using modern pedagogic approaches to develop their profiles – as part of the University’s progressive, award-winning Future Skills concept, leading in the HE sector – which permeates all our courses and delivery.
The Faculty
There are few faculties across the UK university landscape as varied in their scope as the Faculty of Engineering, Computing & the Environment (ECE). We teach and research across a wide range of subjects, allowing for real cross-discipline innovation and creativity. Our lecturers are experts – working at the forefront of their fields and actively engaged in research so they can bring advanced knowledge to their teaching. Our state-of-the-art facilities include specialist laboratories, a public outreach centre, a specialist virtual reality centre, a rocket lab, flight simulators, renewable energy lab, and 3 new labs related to electric, electronic and robotics, as well as an advanced design studio. For future scientists and engineers, this combines to create the ultimate real-life space for practical learning. For academic professionals, this all adds up to a truly vibrant, exciting environment in one of the largest and most diverse STEM faculties in the sector.
The School is a close-knit college of academics with strengths in broad computing disciplines, exemplified by its internationally recognised research in AI, computer vision and machine learning, as well as in networks and cyber security. The School hosts an Academic Centre of Excellence in Cyber Security Education, ACE-CSE, with a Silver Award by the NCSC, since 2021. We offer high-quality courses focused on applied computer science, cybersecurity, games and digital media, reflecting the needs of business and industry. Our courses are strengthened by active collaborations with industry as well as educational and research partnerships. The University was awarded a TEF Gold Award for its excellence in education provision – to which the School of Computer Science and Mathematics contributed significantly.
Senior Lecturer or Associate Professor - Computer Science & AI in Kingston upon Thames employer: KINGSTON UNIVERSITY
Contact Detail:
KINGSTON UNIVERSITY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lecturer or Associate Professor - Computer Science & AI in Kingston upon Thames
✨Tip Number 1
Network like a pro! Attend conferences, workshops, and meet-ups related to AI and Computer Science. Engaging with fellow academics and industry professionals can open doors to opportunities that aren’t advertised.
✨Tip Number 2
Showcase your expertise! Create a personal website or blog where you can share your research, publications, and thoughts on current trends in AI. This not only highlights your knowledge but also makes you more visible to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your teaching philosophy and research interests. Be ready to discuss how you can contribute to the School’s goals, especially in areas like explainable AI and cross-disciplinary collaboration.
✨Tip Number 4
Don’t forget to 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 genuinely interested in joining our vibrant academic community.
We think you need these skills to ace Senior Lecturer or Associate Professor - Computer Science & AI in Kingston upon Thames
Some tips for your application 🫡
Show Off Your Achievements: Make sure to highlight your track record of publications and academic achievements. We want to see how you've contributed to the fields of AI and Computer Science, so don’t hold back on showcasing your best work!
Tailor Your Application: When applying, tailor your application to reflect the specific requirements of the role. Mention your experience with explainable AI and any relevant projects that align with our new BSc AI course. This shows us you’re genuinely interested in what we do!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary to make your key points stand out – it helps us get to know you better!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy to navigate!
How to prepare for a job interview at KINGSTON UNIVERSITY
✨Know Your Stuff
Make sure you’re up to speed with the latest trends in AI and Computer Science. Brush up on your research areas, especially explainable AI, as this will likely come up in conversation. Being able to discuss your publications and how they relate to the school’s focus will show you’re a great fit.
✨Showcase Your Teaching Style
Prepare to talk about your teaching philosophy and methods. Think about how you can incorporate modern pedagogic approaches into your teaching. Be ready to share examples of how you've engaged students in the past, especially in a cross-disciplinary context.
✨Connect with the School's Vision
Familiarise yourself with the School’s research initiatives and the new BSc AI course. Show enthusiasm for contributing to their vibrant education environment and how your expertise can enhance their already strong portfolio. This will demonstrate that you’re not just looking for a job, but are genuinely interested in being part of their community.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of your interview. This could be about the Knowledge Exchange and Research Institute or how the faculty collaborates with industry. It shows you’re engaged and thinking about how you can contribute to their goals.