Lecturer (Teaching) in Machine Learning

About the role

The main purpose of the job is to lead and deliver the Module BENV: Machine Learning for Heritage.

The module has already been fully designed and delivered three times in its current form, so there are prepared slides, lecture recordings and coding exercises in Python (in Google Colab).
The post-holder can deliver the module as-is or modify it creatively if they wish, in conversation with Prof. Josep Grau-Bové and the programme lead, Dr. Pakhee Kumar. For example, students are very interested in hearing about original research, so you are welcome to develop a lecture on your own work.
The module covers linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks and deep learning. The module includes some domain knowledge of heritage but this is not examinable and therefore not an essential requirement of candidates.
The post-holder will also contribute to teaching and delivery of the MSc Sustainable Heritage, including supervision and marking. These requirements are flexible and can be agreed depending on the FTE and the length of the role.

This post is available from 12 January and is funded until 30 April in the first instance; further funding to support the post may become available.

A job description and person specification can be accessed at the bottom of this page.

If you have any queries regarding the vacancy, or the application process, please contact .

If you have specific questions about the role please contact Josep Grau-Bové,

UCL welcomes applications from international applicants and has licence to sponsor individuals who require a visa. This is dependent on the post and candidate meeting eligibility requirements for visa sponsorship under UK Visas and Immigration legislation.

About you

We are looking for a candidate with a PhD in a technical topic and research experience using machine learning in real world settings. Experience using Python for machine learning is essential. The ideal applicant will also have experience in postgraduate teaching. An interest in heritage is desirable, but not essential: this is predominantly a machine learning and data science module, with heritage as an area of application.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:

Additional 5 days’ annual leave purchase scheme
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
Immigration loan
Relocation scheme for certain posts
On-site nursery
On-site gym
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance