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An esteemed academic institution in Canada is seeking a passionate Lecturer in Computer Science. This role involves contributing to teaching and developing research in robotic systems. Key responsibilities include teaching modules, developing research projects, and collaborating with students and academic partners. Ideal candidates will possess strong communication and software development skills. Opportunities for career development, supervision of PhD students, and mentorship in teaching and research are provided.
The Department of Computer Science is recruiting for a lecturer position associated with a Royal Academy of Engineering Award. We wish to develop our excellent research and teaching base by appointing an enthusiastic colleague to take part in our future developments, to strengthen our current research groups and to contribute to our major research themes: Critical Systems; Health, Well-being and Human-Centred Computing; Analytics; and Beyond Human Vision, or to our interdisciplinary research centres: the Digital Creativity Labs, the York Centre for Complex Systems Analysis, the Quantum Communications Hub and the Assured Autonomy International Programme for the safety of autonomous systems.
We strongly maintain the principle of research-driven teaching, from the earliest undergraduate modules to the most advanced Masters provision, which allows for a continual re-examination of our module content and programme structure. As a new Lecturer you will build up teaching responsibility progressively across undergraduate and postgraduate programmes, for both core Computer Science topics and your own academic specialisms. All students undertake a major project, proposed and supervised by an academic, normally on a one-one basis. Further, our new Lecturers will be encouraged to develop their careers by proposing research projects and applying for research funding to undertake these projects. You will also help to recruit and to supervise PhD students. The appointees will be responsible to the Head of Department, however it is our practice for new appointees to be mentored in both teaching and research development by other senior colleagues.
The main duties and responsibilities are twofold: (1) 40% of time will be dedicated to contributing to teaching modules in the Computer Science courses, academic administration. 60% of time will be dedicated to developing techniques for modelling and verification of robotic systems in collaboration with Ana Cavalcanti and the RoboStar researchers.
Interview date: w/c 9th March 2026
For informal enquiries: please contact Ana Cavalcanti on ana.cavalcanti@york.ac.uk