Graduate Teaching Associate (PhD Studentship Track)

Department of Computer Science

Location: Egham
Salary: £39,233 per annum pro rata - including London Allowance
This is the expected starting salary for this post however appointment at a higher point may be made for candidates who demonstrate exceptional skills and experience relevant to the role.
Post Type: Part Time
Closing Date: 23.59 hours BST on Tuesday 26 September 2023
Reference: 0923-414

Part time, Fixed Term (PhD studentship track, 17.5 hours per week)

The yearly stipend for the PhD studentship is £10,331 and it is available for 3.5 years.

This post comprises a 50% Teaching Associate role for 5 years and a 50% PhD student role for 3.5 years. You must apply for both roles: the teaching role through RHUL Jobs portal and the PhD application through the RHUL student application portal. Only candidates with both applications submitted will be considered for the position.

Applications are invited for a Graduate Teaching Associate post in the Department of Computer Science, School of Engineering, Physical and Mathematical Sciences. Teaching duties are according to a 0.50 FTE contract across the year and will be salaried on that pro-rata basis, using the Royal Holloway Grade 7 scale (17.5 hours per week). In addition to this, the successful applicants will be awarded a studentship to support their part-time PhD studies; this will include a part-time fee waiver and an annual stipend of £10,331. 

The post holder will work as part of our team in a dynamic and supportive environment that is known internationally for its outstanding research and teaching and will join an active and expanding postgraduate research community. The Department of Computer Science has a record of outstanding research and was ranked 17th overall among UK computer science departments in the Research Excellence Framework (REF 2021, Times Higher Education ranking). We have very strong research groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. There are also strong collaborations with the Information Security Department (which also is also currently recruiting for three new positions).

The Department of Computer Science is committed to delivering excellent teaching at both undergraduate and postgraduate level and consistently achieves excellent results in graduate prospects metrics (92% graduates in employment or further study in 15 months, Guardian 2023). Our software engineering teaching has been hailed as a ‘best practice’ example by BCS, the Chartered Institute for IT. Further information on our teaching and research environment can be found here.

The teaching element of this role involves supporting teaching on the Department’s undergraduate and postgraduate taught programmes. Teaching duties will primarily involve working within a small team to deliver lab sessions under the direction of our lecturing staff, as well as assessing students’ submitted work, and supervising final year projects. Other activities could include delivering seminars and Outreach workshops, supporting the administration of teaching in the Department, developing software applications that support laboratory-based teaching, and taking part in initiatives designed to enhance the experience of our students.

The PhD/research element of this role involves being enrolled as a part-time PhD student. Information on applying for the PhD programme is also outlined here. The project will be co-supervised by Dr Argyrios Deligkas and Dr Eduard Eiben.

Applicants should ideally hold, or be predicted to achieve, a first class undergraduate degree or equivalent in Computer Science or Mathematics (minimum requirement: 2.1). A masters degree  in Computer Science or Mathematics is desirable, but not essential. Applicants must be able to demonstrate Computer Science subject-matter knowledge relevant to typical undergraduate curriculum, and in addition they are expected to know the basics of Parameterized Algorithms and Complexity, Algorithmic Game Theory, and Computational Social Choice.  Some experience of teaching at undergraduate or MSc level is desirable. Applicants must have applied for the PhD programme (studying part-time) within the Computer Science Department by the date of the deadline for this post.

Royal Holloway offers 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 available from September 2023. This post is based in Egham, Surrey, where the University is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance of London.

Information about our Department can be found here.

For an informal discussion about this post, please contact Professor Carlos Matos, Head of Department, or Professor Chris Watkins, PGR Lead by email: carlos.matos@rhul.ac.uk and c.j.watkins@rhul.ac.uk. 

The Human Resources Department can be contacted with queries by email: recruitment@rhul.ac.uk. 

Please quote the reference: 0923-414

Closing Date: 23:59, 26 September 2023

Interview Date: To Be Confirmed

Please note that it will not be possible for the University to issue a Certificate of Sponsorship for successful candidates as this role does not fall into one of the standard occupational codes deemed eligible for sponsorship by UK Visas and Immigration. Successful candidates will therefore need to be eligible to work in the UK or have limited leave to remain in the UK and associated right to work for the duration of their employment with the University, in accordance with the Immigration, Asylum and Nationality Act 2006. 

Further details:    Job Description     Person Specification    

The university has adopted hybrid working for some roles therefore some remote working may be possible for this role.

Royal Holloway is committed to equality, diversity and inclusion (EDI), and encourages applications from all people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page.