Associate Lecturer (2542)

Associate Lecturer

We have an excellent opportunity for an Associate Lecturer A for the following module:

  • BUCI045H6 Introduction to Data Analytics using R, Level 6
  • 30
  • Tuesdays (12th January 2027 – 16th March 2027)

You will have in-depth knowledge of statistical and machine learning algorithms, from theorical perspectives to applications in data science and AI. You will have good knowledge of R and, preferably, Python or other programming languages. 

Salary range
£69.68 per hour
Contract type
Fixed term
Mode
Part time
Grade
7
Business Unit
Faculty of Science
Closing Date
15/11/2026
Ref No
2542

We have an excellent opportunity for an Associate Lecturer A for the following module:

  • BUCI045H6 Introduction to Data Analytics using R, Level 6
  • 30
  • Tuesdays (12th January 2027 – 16th March 2027)

You will have in-depth knowledge of statistical and machine learning algorithms, from theorical perspectives to applications in data science and AI. You will have good knowledge of R and, preferably, Python or other programming languages. 

Further to the person specification, essential requirements for the role are:

  • A PhD (or equivalent level) in an appropriate specialism or to be close to completion.
  • A good track record of teaching experience in the field.
  • A good understanding of different teaching and learning methods, and experience in working with students from a range of backgrounds.
  • Teaching experience at both undergraduate and postgraduate level.
  • Effective oral and written communication skills.
  • Good organisation and administration skills.

Please refer to the person specification for further selection criteria.

Interviews will be held around 24th November 2026.

Enquiries

If you would like to know more about the role, please click on apply below or contact Cen Wan, Senior Lecturer at cen.wan@bbk.ac.uk.

If you have technical issues or difficulties using the recruitment portal, please contact jobs@bbk.ac.uk, providing your name and the job reference number of the position.

While we are happy to respond to all informal enquiries, only formal applications through the online system will be considered.

We welcome applicants from all sections of the community. The College is committed to improving the gender and cultural diversity of its workforce, holding an Athena SWAN award and operating Disability Confident & Mindful Employer schemes.