Teaching Fellow in Statistics
Imperial College London Department of Mathematics
United Kingdom

Job summary

The Department of Mathematics is currently seeking a Teaching Fellow in Statistics.

Job listing information

  • Reference NAT00960
  • Date posted 9 July 2021
  • Closing date 8 August 2021

Key information about the role

  • Location South Kensington Campus (map)
  • Position type Full time, permanent
  • Salary £44,434 – £52,589 plus benefits
  • Department Department of Mathematics
  • Category Academic & Teaching / Non Clinical Academic & Teaching

Job description

Job summary

The Department of Mathematics is currently seeking a Teaching Fellow in Statistics.

Duties and responsibilities

Your main duties will be to deliver activities for the Statistics and Machine Learning teaching in the Department. The department provides such teaching for its undergraduate Mathematics programme, and two masters level programmes, one of which is taught fully online.

In addition to delivering modules on these programmes, you will assist with the development of innovative forms of pedagogy within the Department. You will provide teaching cover for up to ten hours a week of lectures and classes taught by the Statistics Section of the Department of Mathematics.  You will also carry out personal tutoring and project supervision work within the Department of Mathematics.

Essential requirements

  • Have completed (or are nearing completion of) a PhD (or equivalent) in Statistics or Mathematics
  • To have, or to be working towards, a recognised teaching qualification, or to be able to demonstrate experience in a formal teaching environment
  • Have potential for and willingness to work towards appropriate professional recognition and accreditation e.g. Associate Fellow of the Higher Education Academy (HEA)
  • Recent experience and proven competence of teaching or tutoring in Statistics, Machine learning, or related data analysis content, at an undergraduate level
  • Recent experience of teaching or tutoring in statistics, and an ability to demonstrate the potential to teach university level Mathematics effectively and enthusiastically at an introductory undergraduate level. Experience of promoting effective learning and interaction with students
  • A specialist knowledge of statistics, or closely related field, and of teaching methods and techniques within the field of mathematics.
  • Familiarity with a variety of strategies to promote and assess teaching
  • Experience of and a demonstrable ability to teach up to MSc level effectively in a variety of teaching situations

Further information

This is a full-time, open-ended position and will be based at South Kensington Campus.

Should you require any further details on the role please contact: Professor Niall Adams (n.adams@imperial.ac.uk).

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research

 


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