Senior Teaching Associate in Quantitative and Computational Methods in Archaeology and Biological Anthropology

University of Cambridge Department of Archaeology

Fixed-term: The funds for this post are available for 1 years in the first instance.

The Department of Archaeology is seeking to appoint a Senior Teaching Associate in Quantitative Methods in Archaeology and Biological Anthropology for one year, part time at 0.8 FTE, from 1 September 2023 or as soon as possible thereafter.

The successful candidate will be responsible for co-ordinating and teaching core modules of quantitative methods in archaeology and biological anthropology for the Archaeology Tripos and the MPhil in Human Evolutionary Studies, as well as contribute on other papers as appropriate to their area of expertise. Numbers of students average 16-18 undergraduates and 11-12 at PGT level. Other responsibilities will include assessment and examining, and supervising MPhil and Undergraduate dissertations.

The role holder will be asked to contribute to the Department's recruitment and outreach work, attracting the next generation of students to the field of Archaeology and Biological Anthropology, and will be expected to contribute to departmental meetings and committees as appropriate.

Candidates will need to show evidence of the following qualifications, skills and experience:

  • Good first degree and a doctorate in a relevant subject area (or clear evidence that completion of such a doctorate is imminent)
  • Ability to teach quantitative methods in archaeology and biological anthropology, including R statistical computing language.
  • Ability to play an effective role in the life and work of the Department
  • Ability to work as part of a team

The deadline for application is 19 April 2023 and interviews will be held in early May.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Informal enquiries may be addressed to Dr Enrico Crema (

Please quote reference JD35700 on your application and in any correspondence about this vacancy.

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