University of Cambridge

Job Opportunities


Course Administrator - MPhil in Machine Learning, Speech and Language Technology (Part Time, Fixed Term)

Fixed-term: The funds for this post are available for 2 years in the first instance.

The one-year MPhil in Machine Learning, Speech and Language Technology was introduced in 2015-16 and currently has between 16 and 20 students per year. It is run by academic staff in the Information Engineering Division (Division F) of the Engineering Department in Central Cambridge. This Division is broadly concerned with the generation, distribution, analysis and use of information in engineering systems and currently has 180 members.

You will ensure the delivery of all practical elements of the MPhil in Machine Learning, Speech and Language Technology Course from application to assessment and dissertation. This includes timetabling the course, including external UK and European visits and reporting to Course Management on course income and expenditure.

The role-holder assists the Course Director in the day to day smooth running of the course, together with building and maintaining good working relationships with students, industry club members and academics across the University.

You will be educated to HND/HNC level 4/5 vocational qualification or have an equivalent level of practical experience, and have administrative experience in Higher Education environment. You will be proficient in the use of Microsoft Office and have excellent communication and organisational skills, and be able to demonstrate knowledge of course administration.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

If you have any questions about this vacancy or the application process, please contact the HR Office on 01223 332615 or by email on

Please quote reference NM13326 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online