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Form of workWe are seeking to recruit a Lecturer / Senior Lecturer in Data Science to enhance and expand our excellent research and teaching in these areas.
You will have a PhD (or equivalent) in a relevant field, a developing (Lecturer) / established (Senior Lecturer) research profile, a proven teaching ability, a strong commitment to interdisciplinary collaboration.
We are particularly keen to attract applications from those who have a good understanding of FATES (fairness, accountability, transparency, ethics, safety and security) principles and responsible data and AI practices in Data Science research. The successful applicant will contribute to undergraduate and postgraduate programmes in areas such as: database design, machine learning, natural language processing, computer programming, data communication and visualisation, and data modelling.
As the role will involve supervising and supporting research students and colleagues, you will be required to foster a culture of mutual support and collegiality. At Senior Lecturer level, we would welcome prior experience of supporting staff performance and the ability to lead and manage research activity.
If you feel like you would be a good fit for the role, we would love to hear from you!
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
Apply now by clicking on the Apply button located near the top left of your screen
You will have a PhD (or equivalent) in a relevant field, a developing (Lecturer) / established (Senior Lecturer) research profile, a proven teaching ability, a strong commitment to interdisciplinary collaboration.
We are particularly keen to attract applications from those who have a good understanding of FATES (fairness, accountability, transparency, ethics, safety and security) principles and responsible data and AI practices in Data Science research. The successful applicant will contribute to undergraduate and postgraduate programmes in areas such as: database design, machine learning, natural language processing, computer programming, data communication and visualisation, and data modelling.
As the role will involve supervising and supporting research students and colleagues, you will be required to foster a culture of mutual support and collegiality. At Senior Lecturer level, we would welcome prior experience of supporting staff performance and the ability to lead and manage research activity.
If you feel like you would be a good fit for the role, we would love to hear from you!
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
Apply now by clicking on the Apply button located near the top left of your screen
