Silvester Czanner
10 months ago
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Senior Lecturer in Computer Science and Data Science at University of Chester University of Chester in United Kingdom
Degree Level
not provided
Field of study
Computer Science
Funding
This is a salaried academic staff position at the University of Chester. Standard university benefits include 35 days annual leave for academic staff, access to development opportunities, library facilities, and staff networks. No specific salary or additional funding details are provided.
Deadline
Expired
Country
United Kingdom
University
University of Chester
Suggested positions
Keywords
About this position
The University of Chester is seeking to appoint a Senior Lecturer in Computer Science and a Senior Lecturer in Data Science to join the School of Computer & Engineering Sciences. This is an exciting opportunity to become part of a dynamic and supportive academic community dedicated to inspiring students and advancing cutting-edge ideas in computer science and data science.
The successful candidate will contribute to high-quality teaching at both undergraduate and postgraduate levels, with a focus on keeping the curriculum at the forefront of artificial intelligence (AI) and related fields. Areas of particular interest include Machine Learning, Deep Learning, Generative AI, Data-Centric and Responsible AI, and AI for real-world applications such as health, cybersecurity, robotics, and business analytics. Experience deploying AI systems in practice or collaborating with industry or public-sector partners is especially valued.
Responsibilities include curriculum development, research, and knowledge exchange in computer science and AI, as well as participation in interdisciplinary projects, outreach, and external engagement. The role requires a relevant higher degree in Computer Science or a closely related discipline, teaching experience, and a passion for developing innovative learning experiences. Candidates who do not already hold a Postgraduate Certificate in Learning and Teaching in Higher Education or Fellowship of Advance HE (FHEA) will be supported in obtaining one. The university values inclusivity and strongly encourages applications from women and individuals from diverse backgrounds.
Benefits include 35 days annual leave for academic staff, access to professional development opportunities, library facilities, and a range of staff networks. The University of Chester is committed to equality of opportunity and a positive recruitment experience for all applicants.
To apply, candidates should review the job description and submit their application online via the University of Chester jobs portal. Informal enquiries can be directed to Professor Silvester Czanner, Head of the School of Computer and Engineering Sciences, at [email protected].
Relevant academic keywords: Computer Science, Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Generative AI, Responsible AI, Health Informatics, Cybersecurity, Robotics, Business Analytics, Higher Education, Curriculum Development.
Funding details
This is a salaried academic staff position at the University of Chester. Standard university benefits include 35 days annual leave for academic staff, access to development opportunities, library facilities, and staff networks. No specific salary or additional funding details are provided.
What's required
Applicants must hold a relevant higher degree in Computer Science or a closely related discipline. Teaching experience is required, as well as skills in developing innovative learning experiences. Experience in areas such as Machine Learning, Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications (e.g., health, cybersecurity, robotics, or business analytics) is highly desirable. Experience deploying AI systems in practice or working with industry or public-sector partners is particularly welcome. If the candidate does not already hold a Postgraduate Certificate in Learning and Teaching in Higher Education or Fellowship of Advance HE (FHEA), support will be provided to obtain one. The role requires a collaborative, forward-thinking individual confident in using modern teaching methods, including blended and online learning.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor of Computer Science and Head of the School of Computer and Engineering Sciences
United Kingdom
Research Interests
Computational Neuroscience
Medical Imaging
Retinal Imaging
Ophthalmology
Retinal Disease
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.