Lecturer/Senior Lecturer in Artificial Intelligence and Data Science, Opportunity At Queen Mary University of London School of Electronic Engineering and Computer Science, United Kingdom.

  • Post Date: July 5, 2022
  • Apply Before: September 3, 2022
  • Applications 0
  • Views 56
Job Overview

Lecturer/Senior Lecturer in Artificial Intelligence and Data Science

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About the Role


We are looking to appoint a Lecturer or Senior Lecturer who is able to deliver teaching and assessment at undergraduate and postgraduate level in the following areas: Artificial Intelligence, Database Systems, and/or Internet Protocols.

This post will be on a teaching only contract, therefore research activity will not be part of the expected duties.



About You


You should have a PhD in Electronic Engineering, Computer Science or related subject taught on the Joint Programme, and / or relevant professional qualification and / or equivalent professional experience.   Having teaching experience, you should be able to communicate new and complex information effectively, both verbally and in writing, engaging the interest and enthusiasm of the target audience. You should also have clear and ambitious plans for future scholarship activities. This post is based in London but you will spend a significant amount of time in Beijing for teaching and assessment.



About the School of EECS


As a multidisciplinary School, we are well-known for our pioneering research and world-class projects. Since 2004 we successfully operating double degree programmes jointly with Beijing University of Posts and Telecommunications (BUPT). We were the first to be approved as part of the “key university” quota by the Chinese Ministry of Education and are the first in China to be accredited by the Institution of Engineering and Technology. Our programmes are taught in English and based entirely in Beijing with around 2,700 registered students.



About Queen Mary


At Queen Mary University of London, we embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.





We offer competitive salaries, pension scheme, 30 days’ leave per annum, a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

This is a full-time, permanent appointment, with an expected start date of August 2022. For a Lecturer, the starting salary will be Grade 5/6, in the range of £43,069-£53,625 per annum; for Senior Lecturer, it will be Grade 7 in the salary range of £56,678-£63,351 per annum.  All salaries are inclusive of London Allowance.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave. We will consider job share requests, so please state this clearly on your application.

We particularly welcome applications from people who identify as Black, Asian or Minority Ethnic groups and women as these groups are underrepresented at this Senior Lecturer level at Queen Mary.

Informal enquiries should be addressed to Dr Michael Chai at michael.chai@qmul.ac.uk.  Details about the School can be found at www.eecs.qmul.ac.uk

Candidates are requested to not submit certificates and references with applications.

To apply for the role, please click the ‘apply’ button below.

The closing date for applications is 14th July 2022. Interviews are expected to be held in June/July 2022.



Further details and apply

Job Detail
  • Offered SalaryNot Specified
  • Career LevelNot Specified
  • ExperienceNot Specified
  • GenderBoth
  • INDUSTRYEducation
  • QualificationDoctorate Degree (Ph.D.)
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