The duties will include delivering effective teaching to undergraduate and/or taught postgraduate programmes, supervision of student projects and involvement in assessment of students, helping to develop courses and programmes where this is appropriate, and teaching related administration.
The School of Mathematics is seeking to appoint a University Teacher in Statistics. This is a fixed-term position, focusing mainly on teaching across a range of statistics courses, but with opportunities to take part in the world class research activities in our School. The duties allocated will be dependent on the expertise of the appointee and will include delivering effective teaching to undergraduate and/or taught postgraduate programmes.
The role will also include the supervision of student projects and involvement in assessment of students, helping to develop courses and programmes where this is appropriate, and teaching related administration. It is expected that the post holder will engage with the research activities of the School relevant to them. The School takes career development seriously: we will mentor the post holder to develop key skills and experiences in teaching and learning and support participation in the Edinburgh Teaching Award, which leads to a Higher Education Academy Fellowship.
A PhD in Statistics (or closely related discipline) and experience of teaching statistics at University level is essential, as well as the ability to demonstrate effective team working, communication and interpersonal skills.
The post is available from August 2021 and is fixed term for two years.
Informal enquiries can be made by contacting Dr Vanda Inacio: Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.
The University of Edinburgh promotes equality and diversity. We strive for a family-friendly School of Mathematics. The School holds a Bronze Athena SWAN award and supports the London Mathematical Society Good Practice Scheme.
Applications must be submitted online.
Deadline: 17:00, Thursday 20th May
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