PhD Studentship in Intelligent Robotic Manipulation - employing techniques of artificial intelligence, human-robot interaction and force/tactile sensing to achieve human-like performance in the robotic manipulation of objects
Can you imagine a world where humans and robots are seamlessly integrated and can effectively cooperate?
Do you want an active role in shaping this incoming robotic revolution?
Are you interested in unraveling the mysteries of human intelligence, and equipping robots with advanced human-like abilities?
Applications are invited for a full PhD Studentship starting in January 2019 to undertake research in the area of Intelligent Robotic Manipulation, in the context of the EPSRC UK project “MAN^3: huMAN-inspired robotic MANipulation for advanced MANufacturing” (see a recent press release here: https://www.theengineer.co.uk/robots-objects-manipulation/). The project is led by the Queen Mary University of London, in collaboration with three companies based in London: Google DeepMind, Shadow Robot and Ocado.
The objective of the PhD project is to employ techniques of artificial intelligence, human-robot interaction and force/tactile sensing to achieve human-like performance in the robotic manipulation of objects, using state-of-the-art robotic platforms (robot arm and hand) and interacting with other researchers in a vibrant and multidisciplinary research environment.
The student will be based in the School of Electronic Engineering and Computer Science (www.eecs.qmul.ac.uk) at Queen Mary University of London, and will be a member of ARQ, the newly established Advanced Robotics centre at Queen Mary (https://www.qmul.ac.uk/robotics/), under the supervision of Dr Lorenzo Jamone (https://scholar.google.co.uk/citations?user=glrd-2AAAAAJ&hl=en).
Candidates should have a first-class honours degree or equivalent, or a good MSc Degree, in electrical or mechanical engineering, computer science, or a field closely related to robotics.
Strong motivation to aim for excellence is essential. Very good programming skills (C/C++, Python) are also required, possibly including previous experience with ROS. Applicants with advanced knowledge of robotics, control, machine learning, artificial intelligence, tactile sensing and/or previous research experience in these fields, are particularly encouraged to apply.
Informal enquiries should be made by email to Dr Lorenzo Jamone ([Email Address Removed]), with subject "QMUL PhD robotics: "), and should include: A) full CV; B) transcript of records; C) cover letter (i.e. motivation statement) of 1 page maximum; D) at least two academic references.
This studentship is available to EU candidates only. It is funded by Queen Mary University of London for 3 years will cover student fees and a tax-free stipend starting at £16,777 per annum.
To apply, please follow the online process https://www.qmul.ac.uk/postgraduate/howtoapply/ by selecting ‘Electronic Engineering’ in the ‘A-Z list of research opportunities’ and following the instructions on the right-hand side of the web page.
Please note we request a ‘Statement of Research Interests’. Your statement should answer three questions: (i) Why are you interested in the topic and in the MAN^3 project? (ii) What relevant experience do you have? and (iii) a research proposal related to the topics of the MAN^3 project. Your statement should be brief: no more than 750 words or one side of A4 paper. In addition we would also like you to send a sample of your written work. This might be a chapter of your final year dissertation, or a published conference or journal paper. More details can be found at: www.eecs.qmul.ac.uk/phd/apply.php
The closing date for the applications is 15 November 2018.