Research Associate in Artificial Intelligence / Robotics, Multi-agent path research job with ROYAL HOLLOWAY, UNIVERSITY OF LONDON

Computer Science department

Site: Egham
Salary: £ 36,438 to £ 43,061 per year – including the London allowance
Position type: Full time
Closing Date: 23.59 hours GMT on Monday, January 03, 2022
Reference: 1121-457

Full time, fixed term

Outstanding candidates in Artificial Intelligence and Robotics are invited to apply for a Research Associate position in the Department of Computer Science at Royal Holloway University, London.

The department, established in 1968 (one of the oldest IT departments in the world), is one of the best IT departments in the UK. In the most recent Research Excellence Framework (REF 2014), it ranked 11th for the quality of research results, with one-third of publications recognized as top-notch and another half of international excellence (87% at total). The department is home to outstanding researchers in the fields of algorithms and complexity, artificial intelligence, machine learning, bioinformatics, and distributed and global computing. Over the past five years, the department has embarked on an ambitious expansion plan: fifteen new academic staff have been appointed, new integrated undergraduate and master’s programs have been created, and five new postgraduate education programs. cycle have been launched. The department is involved in multiple inter / multidisciplinary activities, from electrical engineering to psychology and social sciences.

The position is funded by the two-year Innovate UK grant “VersaTile – Transforming warehousing and distribution with industry leader AI planning and system controls”, held by Professor Sara Bernardini. The project will be carried out jointly with the companies Tharsus, one of the UK’s most advanced robotics companies, and JR Dynamics, an SME based in the North East of England. The project stems from the significant pressure currently exerted by warehousing and distribution operations to transform their systems and processes in response to increasing market demand and throughput, intense competition and consumer preference for greater variety, faster delivery at lower cost. The project will address this issue by building and integrating state-of-the-art AI planning capability and critical infrastructure-wide control system. The project covers service robotics, high frequency logistics and the development of AI-based control systems.

Successful applicants will have a PhD or equivalent, a strong research record in artificial intelligence and / or robotics, and a keen interest in practice-oriented research. Experts in AI planning, path planning, multi-agent systems, autonomous navigation, and in general, autonomous systems and cognitive robotics are especially encouraged to apply. Experience in working with industry or contributing to outreach activities would also be valuable. The duties and responsibilities of this position include performing individual and collaborative research on project themes, developing software according to project needs, writing reports on project progress and producing high results. quality for high quality publication. profile reviews or conference proceedings.

This is a full-time, fixed-term position (extensions are possible), available from January 2022 or as soon as possible thereafter. We offer close interaction with industry via secondments and collaborations with leading research institutes in the UK and abroad

We also offer a very competitive set of rewards and benefits including:

  • Generous annual leave
  • Training and development opportunities
  • Pension plan with generous employer contribution
  • Various programs including Cycle to Work, Season Pass Loans, and Eye Test Cost Assistance.
  • Free parking

The position is based in Egham, Surrey, where the College is located on a beautiful leafy campus near Windsor Great Park and just minutes from London.

For an informal discussion of the position, please contact Professor Sara Bernardini on [email protected] or + 44-1784-276792.

To view more details on this position and to apply, please visit For any questions about the application process, the Human Resources department can be contacted by email at: [email protected]

Royal Holloway recognizes the importance of helping its employees achieve a work-life balance by providing flexible working arrangements. We are happy to consider a request for flexible work for this position, including part time, job sharing or compressed working hours.

Please quote the reference: 1121-457

Closing Date: Midnight, 3rd January 2022

Date of interview: To confirm

We particularly welcome applications from women as they are under-represented at this level in the Department of Computer Science at Royal Holloway, University of London.

More details: Job description and person specification