[visionlist] [Jobs] Postdoctoral Researcher in Human-Robot Interaction with King's College London, UK

[Oya Celiktutan]

Dear All,



Apologies for cross-posting. We are seeking a motivated and creative
postdoctoral researcher to join us on a human-robot interaction project
with the Department of Engineering, King’s College London, UK. The main
objective of the project is to set the basis for the next generation of
robots that will be able to learn how to interact with humans from video
data only. The candidate will research novel methods in the areas of
machine learning and human-robot interaction. If you know any strong
candidates for this project, I would be grateful for your passing it on to
them.



Start date: 1 March 2021, or soon after
Project duration: 2 years

Location: Strand Campus, London, UK



How to apply:
https://jobs.kcl.ac.uk/gb/en/job/011984/Research-Associate-in-the-Department-of-Engineering

Closing date: 15 January 2021

Contact: Oya Celiktutan, name.surname at kcl.ac.uk



Please find more information below =====.



With many thanks & regards,

Oya


=====

An exciting Postdoctoral Research Associate position is available at the
Department of Engineering, King’s College London to develop novel
algorithms for learning the principles of human-human interaction
autonomously from video data and integrating such models into the
perception and control of humanoid robots. The main objective of the
project is to set the basis for the next generation of robots that will be
able to learn how to act in concert with humans by watching human-human
interactions. The desired start date of the post is on the 1 March 2021, or
soon after.



The candidate will become a member of the Centre for Robotics Research
(CORE), an excellent environment with state-of-the-art laboratories. CORE
brings together specialised expertise in sensing, manipulation, machine
learning, and intelligent control to develop world-leading solutions to
society’s most critical challenges. Please see
https://www.kcl.ac.uk/research/core.



The candidate will contribute to ongoing research activities at the Social
AI & Robotics laboratory (https://sairlab.github.io) in the areas of
computer vision, machine learning and human-robot interaction and will be
closely working with Dr Oya Celiktutan and her team, as well as her
academic collaborators in the fields of natural language processing,
education and psychology and the project partner SoftBank Robotics Europe.
Please see https://sairlab.github.io/projects/grants/lisi/index.html.



The candidate should possess a PhD, or be near completion, in Engineering,
Computer Science, or related field. They should have a strong research
record in machine learning, with specialisation in one or more of the
following areas: human-robot interaction, computer vision, deep learning,
self-supervised/unsupervised learning, reinforcement learning, and/or human
behaviour analysis and synthesis, as evidenced by publications in top-tier
journals and/or conferences.



The candidate should be motivated and creative about designing and
implementing novel algorithms by taking into account the project’s aim.
They should have excellent programming skills and should be competent to
effectively integrate various systems such as robots and external sensors
to run experiments. They should be willing to lead high-quality
publications and work as part of a team.



Essential criteria include:

- PhD degree (or shortly expect to receive) in Engineering, Computer
Science, Robotics, or related field.

- Strong background in machine learning, with specialisation in one or more
of the following areas: human-robot interaction, human-human interaction,
computer vision, deep learning, self-supervised/unsupervised learning,
reinforcement learning, and/or human behaviour analysis and synthesis.

- Excellent publication record in top-tier journals and/or conference
proceedings, such as IEEE, ACM, CVF, RSJ, Springer, and Elsevier.

- Excellent programming skills, particularly, Python and/or C/C++. Hands-on
experience with large-scale datasets, deep learning libraries (e.g.,
TensorFlow, PyTorch) and physical robots will be a plus.

- Excellent verbal and written communication skills.

- Excellent interpersonal / teamwork skills.

- Ability to organise and prioritise work to meet deadlines with minimal
supervision.



When completing the online application, candidates should attach:

- CV with a full list of publications.

- Two-page summary of research background and how their experience and
research plans fit with the post.

- One of their best papers (either published or accepted for publication)
demonstrating expertise in the areas mentioned above.

- The expected date of graduation (if currently pursuing a PhD).

- Contact details of two referees.
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