Month: March 2014

Fully-funded PhD scholarship in Human-Robot Collaboration

Marc Hanheide Jobs, project
We have tentatively secured funding for an exciting PhD position (for UK/EU students only I’m afraid) in the area of Robotics. The successful candidate will be pursuing a PhD within the Lincoln Centre for Autonomous Systems (L-CAS) under the supervision of Dr Marc Hanheide and Prof Tom Duckett. The project is about long-term adaptation in human-robot collaboration for manufacturing applications.
The studentship covers all fees, plus a stipend of £15000 per year for a duration of 3.5 years. The position is part of a recent strategic investment by the University of Lincoln, and only projects that recruit strong candidates will actually be funded. So, we need excellent candidates, ideally with a strong background in AI, Robotics, Mathematics, Engineering, or Machine Learning, to apply for this position to turn this funding opportunity into a real project.
If you are excited about human-robot collaboration and its potential to change the way we manufacture, apply by sending a covering letter outlining your interest and proposed approach (up to 1 page A4) with an accompanying CV tomhanheide@lincoln.ac.uk by close of day on 18th April 2014.
Further details to be found here.

Fully-funded PhD in Mobile Robotics for Ambient Assisted Living

Nicola Bellotto Jobs

A PhD position is available in the Lincoln Centre for Autonomous Systems Research (L-CAS, http://robots.lincoln.ac.uk ) at the University of Lincoln UK.

This 3 ½ year funded position is open to UK/EU candidates only and includes tuition fees and a bursary at the current RCUK doctoral stipend levels.

The PhD position is offered in the area of mobile robotics for ambient assisted living with potential application to health and elderly care. The successful candidate will be expected to design, conduct and publish original research on this topic, developing novel approaches for long-term monitoring and assistance of humans, including activity perception, representation and prediction, while taking into account the dynamics and changes that occur in real world environments.

The successful candidate will be expected to engage in an international and ambitious team, working with state-of-the-art robotic hardware and software, and benefitting from excellent support to produce and disseminate original research contributions. Moreover, he/she will have the opportunity to work in close collaboration with members of the L-CAS team involved in the European FP7 project STRANDS (http://www.strands-project.eu), which focuses on long term operations and interaction of robots in human populated environments. There is an expectation that the successful candidate will participate in international conferences and other activities as required.

The candidate will have a Bachelor or Master in Computer Science, Engineering, Mathematics or Physics. He/she must have excellent mathematical and coding skills (e.g. C++, Python), preferably with some knowledge of Linux OS. Although not required, some previous experience in Machine Learning, Computer Vision and/or Artificial Intelligence would be an advantage. The student should be available to start the PhD as soon as possible.

The School of Computer Science at the University of Lincoln scored highly in the UK Research Assessment Exercise (RAE 2008) with 85% of its outputs ranked at international quality or better with 15% ranked world-leading. The School provides a stimulating environment for academic research, and is based on the picturesque waterfront campus in the vibrant city of Lincoln in high quality, newly developed facilities. The research facilities available within the School of Computer Science include well-appointed research laboratories and office spaces with state-of-the-art computing facilities for an international community of academics, researchers and graduate students. 

In the first instance please contact Dr Nicola Bellotto and Dr Oscar Martinez Mozos (nbellotto@lincoln.ac.uk , omozos@lincoln.ac.uk), with your CV and transcript. Put “Mobile Robotics for Ambient Assisted Living – PhD Application” in the subject line.

Please note the studentship will be offered to the most suitable candidate on a first come basis, so early application is encouraged.