Research Assistant/Associate in Computational and Data-driven HRI (Fixed
Research Assistant: £26,715 -£30,942 or Research Associate: £32,816 -£40,322
Fixed-term: The funds for this post are available for 2 years.
A position is available to work on an exciting multi-disciplinary project
related to creating adaptive robot social intelligence for wellbeing, with a
starting date of 1 September 2021 (or the earliest thereof). The projects
aims to (1) equip (humanoid) robots with novel socio-emotional
intelligence and adaptation capabilities grounded in the state of the art in
affective computing, social signal processing, computer vision and machine
learning fields; and (2) deploy these robots as socio-emotionally smart
embodied devices to enable their users maintain and improve their health and
The aspect of the project the applicant will mainly work on relates to
computational and data-driven human-robot interaction (e.g., see
https: // ieeexplore.ieee.org/document/8990043 ). This will involve (i) robot
behaviour learning and generation from multimodal and multiparty data, and
(ii) designing and undertaking HRI studies with the learned behaviour
models, with applications to health and wellbeing. These will be achieved by
working with the project team based in Cambridge and collaborating with the
other project partners.
Candidates must have very good programming skills (e.g., Python) and strong
analytical skills. They should be open to collaborations and be self-
motivated. Appointment at research associate level requires the candidate have
a (or be close to completing) a PhD degree in computer science, electronic
engineering, or a closely related discipline, with experience and a good (and
relevant) publication record in Computational and/or Data-driven Human-Robot
Interaction, Machine Learning for HRI/Robotics, or a closely related research
It is desirable that the candidate (i) has experience with programming for
deep learning, ideally applied to human behaviour analysis and understanding;
or (ii) has experience in programming for real-time HRI applications; or
(iii) has experience with undertaking HRI user studies, ideally related to
health and wellbeing.
This position can be filled by an appropriate candidate at research assistant
or research associate level, depending on relevant qualifications and
experience. Appointment at research associate level is dependent on having a
PhD (or equivalent experience). Where a PhD has yet to be awarded
appointment will initially be made as a research assistant and amended to
research associate when the PhD is awarded.
This position is funded through an EPSRC Grant.
If applicants require further information, they should contact Dr Hatice Gunes
(https:// www. cl.cam.ac.uk/~hg410/) .
Click the 'Apply' button below to register an account with our recruitment
system (if you have not already) and apply online.
Please ensure you upload your curriculum vitae; a statement of the particular
contribution you can make to the project based on your past and current
experience and expertise (maximum 500 words); the track record of
publications as a link to your Google Scholar profile; and a copy of the
publication you consider as your best paper. If you upload any additional
documents which have not been requested, we will not be able to consider these
as part of your application.
Please quote reference NR27442 on your application and in any correspondence
about this vacancy.
The University actively supports equality, diversity and inclusion and
encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible
to live and work in the UK.
Department of Computer Science and Technology, West Cambridge
19 July 2021
15 August 2021