Visit acad.jobs with all Jobs for Academics!
                    
Position: Postdoctoral Research Assistant
Institution: Queen Mary University of London
Department: School of Electronic Engineering & Computer Science
Location: London, United Kingdom
Duties: An exciting opportunity opens for a Postdoctoral Research Assistant position to work on the EPSRC UK project “MAN^3: huMAN-inspired robotic MANipulation for advanced MANufacturing”. The project is led by the Queen Mary University of London, in collaboration with three companies based in London: Shadow Robot, Google DeepMind and Ocado. The research will be carried out at ARQ, the Advanced Robotics centre at Queen Mary, and within the school of EECS (Electronic Engineering and Computer Science). The overall aim of the project is to improve dexterous robotic manipulation in terms of autonomy, adaptability, flexibility and robustness: in other words, to make it more human-like
Requirements: Candidates must have a PhD degree in Robotics, Electronic or Mechanical Engineering, Computer Science, or related areas, with a solid publication track record. Candidates should have good knowledge of computer programming (C++/Python) and software integration for robotics, robot control, and basics of signal processing and electronics. Good knowledge of machine learning, estimation and optimization is highly desirable. Experience with real robotic hardware is essential, and experience with robotic manipulation, robot vision and tactile sensing would be highly desired. Solid knowledge of Linux and ROS environments is highly desirable
   
Text: Postdoctoral Research Assistant - QMUL16208 Department: School of Electronic Engineering & Computer Science Salary: £33,615 - £37,411 per annum (Grade 4) Reference: QMUL16208 Date posted: 11-Jan-2019 Closing date: 10-Feb-2019 Job profile Apply online Overview: An exciting opportunity opens for a Postdoctoral Research Assistant position to work on the EPSRC UK project “MAN^3: huMAN-inspired robotic MANipulation for advanced MANufacturing”. The project is led by the Queen Mary University of London, in collaboration with three companies based in London: Shadow Robot, Google DeepMind and Ocado. The research will be carried out at ARQ, the Advanced Robotics centre at Queen Mary, and within the school of EECS (Electronic Engineering and Computer Science), under the supervision of Dr Lorenzo Jamone. The overall aim of the project is to improve dexterous robotic manipulation in terms of autonomy, adaptability, flexibility and robustness: in other words, to make it more human-like. Data-driven learning and control, bootstrapped by human demonstrations, is the most appealing solution to achieve this improvement. Also, human demonstrations will be more effective if the human has access to the same sensory feedback the robot has (nothing more, nothing less) and if multimodal sensory feedback is available (vision, touch, proprioception); this is now possible due to the recent advances in VR and sensing technologies. This leads to the three main objectives of MAN^3: developing a system for natural human-robot demonstration of manipulation actions through immersive teleoperation (O1); delivering a solution for robust robotic grasping and dexterous in-hand manipulation based on human demonstrations and robot learning (O2); applying the proposed solution to the human-demonstrated robotic picking, handling and placing of delicate food items (O3). Candidates must have a PhD degree in Robotics, Electronic or Mechanical Engineering, Computer Science, or related areas, with a solid publication track record. Candidates should have good knowledge of computer programming (C /Python) and software integration for robotics, robot control, and basics of signal processing and electronics. Good knowledge of machine learning, estimation and optimization is highly desirable. Experience with real robotic hardware is essential, and experience with robotic manipulation, robot vision and tactile sensing would be highly desired. Solid knowledge of Linux and ROS environments is highly desirable. The post is a full time, fixed term appointment for the period of 35 months or until 31 January 2022 (whichever is the shorter), with tentative starting date on 1 March 2019. Starting salary will be in the range of £33,615 - £37,411 per annum inclusive of London Allowance. Benefits include 30 days annual leave, pension scheme and interest-free season ticket loan. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme. Informal enquiries should be addressed to Dr Lorenzo Jamone at l.jamone@qmul.ac.uk. Details about EECS can be found at www.eecs.qmul.ac.uk . Details about ARQ can be found at www.qmul.ac.uk/robotics/. To apply, please clickt the link below. The closing date for applications is 10 February 2019. Interviews are expected to be held shortly thereafter. Valuing Diversity & Committed to Equality QMUL is proud to be a London Living Wage employer Apply online
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.