[robotics-worldwide] [jobs] Postdoc position - Robotics - Queen Mary University of London

Lorenzo Jamone l.jamone at qmul.ac.uk
Thu Oct 4 03:54:37 PDT 2018

Dear colleagues,
an exciting opportunity opens for a 3-years Postdoc position at ARQ
(Advanced Robotics @ Queen Mary), the newly established Robotics centre of
the Queen Mary University of London, to work on a UK EPSRC-funded project
on dexterous robotic manipulation.

Apply here: https://urldefense.proofpoint.com/v2/url?u=https-3A__webapps2.is.qmul.ac.uk_jobs_job.action-3FjobID-3D3691&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=MvoEJZG04gs_kyjuF9KQZc0cktOzBx4liJFKzMX54OA&e=
Deadline for applications: 01-Nov-2018
(interviews are expected to be held shortly thereafter).

Informal enquiries should be addressed to Dr Lorenzo Jamone (
l.jamone at qmul.ac.uk).

Role: Postdoctoral Research Assistant - QMUL16208.
Research group: Advanced Robotics @ Queen Mary (ARQ).
Department: School of Electronic Engineering & Computer Science (EECS).
University: Queen Mary University of London (QMUL).
Salary: £33,615 - £37,411 (Grade 5).
Duration: 3 years.


The main task of the Postdoc will be 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 beneficial.
Solid knowledge of Linux and ROS environments is also highly desirable.

The post is a full time, fixed term appointment for the period of 36 months
or until 31 December 2021 (whichever is the shorter), with tentative
starting date on 1 January 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.

QMUL (Queen Mary University of London) is a leading research oriented UK
university, ranking top 20 in the UK and top 100 in the world (
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.qmul.ac.uk_about_index.html&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=cad5yuOj1IHq1Dkp3O8_YuEOFyvTqkvEPgKZpacMs98&e=). Located in the booming creative
high-tech cluster of east London (
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.sciencedirect.com_science_article_pii_S0264275112001552&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=aH4Xe35T_5g-3oc3cFv2K4l9A4VwtooXxvTO2Du4lhk&e=), the
university hosts several multidisciplinary research groups in cognitive
science, intelligent sensing, computer vision, multimedia, advanced
materials, control, aerospace, and more. QMUL has recently opened a new
centre for robotics (ARQ - Advanced Robotics @ Queen Mary,
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.qmul.ac.uk_robotics_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=Fgx1-PiHcIySGqr6_WTWSThyV2JyAWvQyvKS9y7m7qc&e=), which is rapidly expanding and now counts
more than 40 active brains including faculty members, postdocs, PhD
students and a few non-completely-brainless robots. Join us!


Lorenzo Jamone - Lecturer in Robotics
ARQ - Advanced Robotics at Queen Mary
School of Electronic Engineering and Computer Science -
Queen Mary University of London - https://urldefense.proofpoint.com/v2/url?u=http-3A__www.qmul.ac.uk_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=x7GukyfcJL6ez8DxidAlyZcRycmWcRCUuND4qcwA-KQ&e=
l.jamone at qmul.ac.uk

Visiting Associate Researcher at VisLab (ISR/IST-Lisbon)
ljamone at isr.tecnico.ulisboa.pt
VisLab - https://urldefense.proofpoint.com/v2/url?u=http-3A__vislab.isr.ist.utl.pt&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=V4_u4cTpeyL4oTnKMKxhj5LPW_u-xtekFaSJJJIy8Fc&e=
Institute for System and Robotics - https://urldefense.proofpoint.com/v2/url?u=http-3A__welcome.isr.tecnico.ulisboa.pt_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=UN-CmklznzY0xCk0jMMDd82fraiQgjVDu7RTmndgzQk&e=
Instituto Superior Técnico - https://urldefense.proofpoint.com/v2/url?u=http-3A__tecnico.ulisboa.pt_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ytMRSlWxEjH7-001AHug9WuMX-dbHvdxWCKrgU5Xhhs&s=cT0RGXMm99Le8HYP3jItYDjJ72oevx_QmuH4QqFVoPM&e=


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