Lecturer in Computer Science

About the role

We are excited to announce an opening for a Lecturer to join our School of Computing and Mathematical Sciences. 

The school’s Computer Science research is organised into three groups – AI and machine learning (led by Prof. Huiyu Zhou), High-performance and distributed systems (led by Prof. Ashiq Anjum), and Trusted Autonomous Systems (led by Prof. Shigang Yue).  Your research should fit into one of these three groups.  

The school leads the AI, data analytics, and modelling centre (AIDAM) which is a focal point for AI and Data Science research across the College of Science and Engineering.  The School works closely with a number of partners across the university, including Space Park Leicester, the Leicester Institute for Environmental Futures, and the Leicester Institute for Precision Health, and has been successful in obtaining funding with these partners, including co-leading a UKRI AI for Net Zero hub on Self-Learning Digital Twins for Sustainable Land Management. 

The successful candidate will be expected to engage in high-level research and teaching in Computer Science, with a focus on research publication, teaching material development, research supervision, and generating impactful research through grants, consultancy, and knowledge transfer.  

At the University of Leicester, you'll work in a supportive environment with research and teaching mentoring. Our research-intensive university is located at the heart of the UK, where different areas of activity are balanced by a workload model to ensure fair and transparent balance between staff and different areas of activity.

Why work at the School of Computing and Mathematical Sciences?

About you

We are looking for an enthusiastic educator capable of inspiring interest, curiosity and drive for learning in our students. You will have a real passion for the subject matter and be motivated to provide the very best experience for our students using your expertise and skill to ensure all reach their potential.

We are interested in candidates with a PhD and/or postdoctoral experience in the following areas:

• AI supporting areas such as symbolic AI, logical foundations, agent-based systems, metaheuristic search. 
• Autonomous perception, navigation and control 
• Bio-inspired visual information processing, motion perception, bio-plausible vision systems and applications 
• Software modelling, testing, validation and verification, especially applied to autonomous systems 
• Quantum, Distributed, and High-performance Computing 
• Digital twins for cyber physical systems.

You should have an established reputation for research, with a high quality publication profile and be able to evidence your potentially fundable research ideas. You must also have excellent networking skills, which you use to seek out opportunities for collaboration and citizenship, both internally and externally.

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