Lecturer in Computer Science, NLP/ML

Egham, United Kingdom
£44,283 to £52,430 per annum - including London Allowance
17 Dec 2021
End of advertisement period
31 Jan 2022
Contract Type
Full Time

Department of Computer Science

Location:  Egham
Salary:  £44,283 to £52,430 per annum - including London Allowance Post Type:  Full Time
Closing Date:  23.59 hours GMT on Monday 31 January 2022
Reference:  1221-503

Permanent, Full Time (Multiple posts)

The Department of Computer Science at Royal Holloway is looking to appoint multiple academic members of staff to support its research and teaching.

We carry out outstanding research and deliver excellent teaching at both undergraduate and postgraduate level: we ranked 11th in the Research Excellence Framework (REF 2014) for the quality of our research output, and in teaching we are typically in the top 10 in the UK for graduate prospects (e.g., Guardian 2022).

Over the past seven years, we have undertaken an ambitious plan of expansion: eighteen new academic members of staff were appointed, new undergraduate and integrated-masters programmes were created, and multiple new postgraduate-taught programmes were launched. We have strong research groups in the broad areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems, as well as good connections with the Information Security Group. We are involved in multiple inter/multidisciplinary activities, from electrical engineering to psychology and social sciences. Our research strength generates significant interest and collaborative opportunity from universities and third stream partners. Royal Holloway also recently launched a research catalyst “Transformative Digital Technologies, Security and Society,” which we aim to contribute to.

We are now recruiting academic members of staff with experience in Natural Language Processing (NLP), to complement and strengthen our existing research in Machine Learning and Artificial Intelligence, and to support the delivery of the postgraduate taught programmes MSc Machine Learning and MSc Artificial Intelligence, with related undergraduate modules. We also welcome exceptional candidates from all disciplines in Computer Science, who can contribute to the new catalysts.

The successful candidate will help us seek and seize opportunities for research funding and industrial engagement. They will hold a PhD or equivalent, and will have a proven research record with a solid background in the underlying theory. Experience in attracting funding, engaging with industry, or contributing to outreach activities would also be valuable.

The appointee will be expected to contribute across the full range of departmental activities, including undergraduate and postgraduate teaching and the supervision of mainstream projects over a wide range of topics. In particular, duties and responsibilities of this post include: conducting individual or collaborative research projects; producing high-quality outputs for publication in high-profile journals or conference proceedings; applying for research funding; delivering high-quality teaching to all levels of students; supervising research postgraduate students. 

This is a full-time and permanent (tenured) post, available from April 2022 or as soon as possible thereafter. The post is based in Egham, Surrey, within commuting distance from London, Europe’s most dynamic technology hub.

In return we offer a highly competitive rewards and benefits package including:

  • Generous annual leave entitlement 
  • Training and Development opportunities
  • Pension Scheme with generous employer contribution 
  • Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing. 
  • Free parking 

The post is based in Egham, Surrey where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London.

For further details of the Department see or contact the Head of Department at For further details on the Royal Holloway research catalysts see

To view further details of this post and to apply please visit queries on the application process the Human Resources Department can be contacted by email at: 

Please quote the reference: 1221-503

Closing Date:   Midnight, 31st January 2022

Interview Date: W/C 21st February 2022

Further details:    Job Description     Person Specification

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