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Postdoctoral Research Assistant - QMUL23001

Department: School of Electronic Engineering & Computer Science
Salary: £34,220 - £36,098 per annum (Grade 4)
Reference: QMUL23001
Location: Mile End
Date posted: 12-Oct-2020
Closing date: 04-Nov-2020

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Overview:

About the Role

A Postdoctoral Research Assistant is available to develop Natural Language Processing (NLP) methods for monitoring changes in individuals based on language use and a combination of heterogeneous mobile phone data.  This includes patterns of speech, sleep and mobility in the context of the project Mobile Sensing of Altered EveryDay Function in Early Alzheimer’s Disease (MEDEA). The role involves close collaboration with colleagues at Cambridge, UCL and the Alan Turing Institute.

About You

Candidates must have a PhD in Computer Science, NLP, Machine Learning or a related field. You should have substantial knowledge of Natural Language Processing methods preferably with experience in representation learning, low resource learning and multi-modal data. An appropriate publication record, with experience in machine learning techniques is essential, whereas familiarity with temporal modeling and working with multi-modal, heterogeneous or small data would be an advantage.

About the School of EECS

As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 11th in the UK for quality of computer science research (REF 2014) and 6th in the UK for quality of electronic engineering research (REF 2014).

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

We continue to 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.

Benefits

We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), 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.

The post is based at the Mile End Campus in London. It is a full time position (35 hours per week) for 22 months or until 31 Aug 2022 (whichever is shorter). The starting salary will be Grade 4, in the range of £34,220 - £36,098 per annum, 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 have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.

Informal enquiries should be addressed to m.liakata@qmul.ac.uk.  Details about the School can be found at www.eecs.qmul.ac.uk.

Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers should not be provided at this stage.

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

The closing date for applications is 4 November 2020.   Interviews are expected to be held shortly thereafter.

Valuing Diversity & Committed to Equality

Proud to be a London Living Wage Employer

Apply online