Lecturer (Teaching) in Machine Learning

About the role

The purpose of this post is to contribute to the Department’s in teaching related to the support of the MSc in Integrated Machine Learning. This will include teaching and supporting teaching in the modules at postgraduate level and supporting the supervision of project students, as well as other planning, tutoring, and assessment activities. The role will also involve working closely with other academics in the Department, and with appointed postgraduate teaching assistants (PGTAs). The successful candidate will be encouraged to also contribute to research within the department either in the ML/AI space on within educational research.

The role is available for 12 months in the first instance. Further funding to support the post may be available.

About you

Applicants should have a degree in electronic engineering, computer science or equivalent qualifications and/or experience. They should possess knowledge of computer programming languages and machine learning techniques, evidenced by projects and/or publications.

The desired candidate will have excellent interpersonal, oral and written communication skills, with students, academics and professional services staff at all levels. They should be able to motivate and engage students, with an enthusiasm for teaching technologies and other teaching innovations. The desired candidate will have excellent time management and organisational skills, with the ability to analyse existing processes to improve efficiency.

Having a Higher Education teaching qualification is desirable, as well as experience using virtual learning environments such as Moodle or Blackboard.

Application details:

To apply for the role, click the 'Apply Now' button at the bottom or top of the page.

It is essential that the following are uploaded in your application. Please upload them separately in the required document fields.

Teaching statement, including consideration of the fit to EEE given the requirement to teach in the area of Machine Learning at UCL
[optional] Research statement, including consideration of the fit to EEE at UCL

Applications close on 6th January at 23:59.

Informal enquiries regarding the post can be sent to the Deputy Head of Department (Education), Prof Sally Day, at . For questions regarding the application process please contact Rebecca Thomas at .

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