[jobs] Fully funded PhD studentships in Physical Human-Robot Interaction at the University of Nottingham, UK

[Ayse Kucukyilmaz]

Dear colleagues, 

We have a number of fully funded 3.5 years PhD studentships for outstanding graduates with strong interest in robotics, machine learning and physical human-robot interaction. 

 

The PhD studentship will undertake an ambitious programme of work to develop machine learning and shared control methods to allow robots to adapt individually to their human partners and create personalised interactions. This will involve the identification and representation of human adaptation processes, skill modelling, and selection of  appropriate actions and roles for enabling personalised collaboration. Special focus will be on the use of haptic data (forces, EMG, etc.) to demonstrate how touch interactions can further enhance the communication and interaction capabilities in collaborative robots. 

Selected candidates will take advantage of extensive training and career development opportunities and will benefit from excellent support to produce and disseminate original research contributions at leading international venues. The role also offers the opportunity to engage in international collaborations, as well as working within an ambitious and diverse team of robotics and AI researchers at a top UK university. The candidate will have access to state-of-the-art equipment, software, and research facilities, including research space and several robots (including Franka Emika, Haption Virtuose, UR3, Geomagic TouchX), computer vision equipment (including stereo, RGB, Thermal (IR) and NIR), as well as dedicated data storage and competitive computational facilities suitable for doing world-leading research in machine learning.

If interested in the position, please send an Expression of interest to  ayse.kuc...@nottingham.ac.uk in PDF format, consisting of
1) your CV and relevant links (Github, website etc.)
2) cover letter
3) your transcript

Applicants should have an excellent background in mathematics and software engineering, and should be committed to applying their research to real robotic systems interacting with people in challenging environments. Familiarity with machine learning, and hands on experience with relevant tools and software for robotics and haptics (e.g. OpenHaptics, ROS) is a plus. At least a first-class or upper second-class BSc or MSc degree (or equivalent) in Computer Science, Engineering or a related subject is essential. Individuals with significant relevant non-academic experience are also encouraged to apply.

There are different funding routes for applications, and the candidates are strongly suggested to discuss the best option with me prior to applying. It is also recommended that you visit http://www.cs.nott.ac.uk/~pszak1/ to get familiarise yourself with our research.

PhD scholarship in Robotics and Shared Control:

Funding for: EU/UK only, 3.5 years

Funding amount: Stipend of minimum £15,609 p.a. and tuition fees

Closing date: Flexible

Application link: Discuss with supervisor prior to application

School of Computer Science Scholarships:

Funding for: International, 3.5 years

Funding amount: Stipend of minimum £15,609 p.a. and tuition fees

Closing date: 15th March 2021

Application link: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI1979

----------------------------------------------

Dr Ayse Kucukyilmaz

Assistant Professor of Robotics 

School of Computer Science

University of Nottingham

This message and any attachment are intended solely for the addressee
and may contain confidential information. If you have received this
message in error, please contact the sender and delete the email and
attachment. 

Any views or opinions expressed by the author of this email do not
necessarily reflect the views of the University of Nottingham. Email
communications with the University of Nottingham may be monitored 
where permitted by law.