Lecturer in Big Data (Teaching and Research)

Key Skills

Data science techniques, Machine learning techniques, Natural Language Processing (NLP)

Job Description

Location: London

Salary: £44,931 to £55,805 per annum inclusive of London Allowance.

Hours: Full Time

About the Role

We are looking to appoint a Lecturer in Big Data to support the expansion of teaching and research in our School of Electronic Engineering and Computer Science (EECS).

About You

To apply, you should have a PhD or equivalent professional qualification/experience and must have an appropriate track-record of high quality research in the field of Big Data/Systems. It is essential that you have clear and ambitious plans for your future research and are able to develop research proposals and effectively manage subsequent awards. Queen Mary is a signatory of DORA declaration, and as such the quality of your research will be judged on its own merits.

The post also requires an effective communicator of new and complex ideas, in both verbal and written form, and the ability to engage the interest and enthusiasm of the target audience. You will be passionate about teaching and able and keen to deliver exciting and engaging new courses, at undergraduate and postgraduate level in areas such as, but not exclusively, Big Data Science, Big Data Engineering, Data Analytics, and/or Machine Learning and AI.

About the School of EECS

As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second in the country for our Electronic Engineering research output (REF 2021). We welcome staff from diverse backgrounds and our School is keen to reduce the gender gap and provide a positive and flexible working environment for everyone.

Benefits

We offer competitive salaries, pension scheme, 30 days’ leave per annum, a season ticket loan scheme, staff networks 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.

The post is based at the Mile End Campus in London and is a full time, permanent appointment available immediately; the successful candidate will preferably be in post by February 2023 and no later than 1 April 2023. Starting salary will be in the range of £44,931 - £55,805 per annum inclusive of London Allowance. A UK Lecturer is equivalent to an Assistant Professor in the USA.

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

Informal enquiries should be addressed to Professor Steve Uhlig at eecs-head@qmul.ac.uk. Details about the School can be found at www.eecs.qmul.ac.uk.

Candidates are advised to only upload a CV and covering letter; references, certificates and/or research papers should not be submitted at this stage.

To apply, please click the ‘apply’ button.

The closing date for applications is 4 January 2023.

Interviews are expected to be held in February 2023.

Valuing Diversity & Committed to Equality

Proud to be a London Living Wage Employer