Lecturer/Senior Lecturer in Computer Science (User Experience)

Kingston University
Kingston upon Thames
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Irish Gaelic Linguist Consultant

Development & Cloud Solutions Architect

Lecturer in Computing & ICT

Computing Lecturer

Staff Nurse- Scottish National Burns Unit

The Role

The School of Computer Science and Mathematics seeks to appoint a new Lecturer/Senior Lecturer in Computer Science/User Experience Design to join a thriving UX Design academic team, which, together with the game development, computer animation and networks and cyber security teams constitutes the Department of Networks and Digital Media.

You will be creating engaging learning material using latest UX trends, evaluation, design principles and techniques for interactions in 2D and 3D interfaces and adopting current design methodologies and practices. You will join an interdisciplinary team to supervise, support and advise on student projects and pursue active collaborations with industry and other partner organisations. 

You will be required to maintain and progress your professional profile - so crucial for the delivery of the courses - including by collaborative efforts and sharing expertise within the team of specialist academics. You will be supported in this endeavour by our internal system and by the lively research environment. This is a career-defining opportunity and we seek to appoint a candidate with significant competence in design and development of user interaction innovations, including using AI - to extend the research and teaching expertise in the School. You will be expected to publish regularly in learned journals and to prepare for the REF 2029 submission.

The School houses a state-of-the-art Centre for Augmented and Virtual Reality, CAVE Studio – where you will be engaging in immersive media and an ambitious application programme of augmented and virtual reality, AR and VR. The School pursues academic excellence in other areas such as cyber security and artificial intelligence – and holds a Silver Award by the National Cyber Security Centre, NCSC (GCHQ) for its Academic Centre of Excellence in Cyber Security Education.

The Person

The successful candidate is expected to demonstrate knowledge in the relevant areas of user experience/HCI and will be ready to adopt and practice innovative pedagogic methods and develop their research potential and professional practice to produce outputs of the standard required for REF submission and/or KEF (Knowledge Exchange Framework) engagement. It is essential that the candidates have a doctoral level qualification and appropriate research and professional skills in a relevant area of User experience/HCI.

The provision of high-quality, student-centred, innovative teaching on our undergraduate and postgraduate programmes will be the focus. You will be organizing hands-on workshops, practical demonstrations, videos, and group projects to provide students with practical experience in various industry-standard software, tools, and techniques. You will participate in relevant research and professional practice, contributing to the advancement of the field of user experience/UI development and promoting interdisciplinary approaches. You will take a lead in learning and teaching in core computer science/user experience/HCI topics and participate in the development of courses. You will make a strong contribution to the profile of the School through demonstrable excellence and leadership in research and teaching. Constantly seeking to improve, you will scrutinise your own work, build networks, and work collaboratively to enhance the faculty’s reputation. You will work with a team of talented lecturers to deliver vibrant, relevant education to your students, using a variety of technologies and approaches to develop their Future Skills.

By the end of the probation period, you must have achieved the relevant level of PSF recognition (if this has not already been obtained), typically a Fellowship of Higher Education Academy. For those new to teaching, this will be through our accredited Introduction to Learning and Teaching and for those experienced in teaching, through our Kingston Academic Practice Standards Framework.

The Faculty

There are few faculties across the UK university landscape as varied in their scope. 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, and flight simulators. 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.