[robotics-worldwide] [jobs] Postdoctoral Research Fellows in Robotics, Machine Learning and Computer Vision for the National Center for Nuclear Robotics (NCNR), University of Lincoln, UK
gneumann at lincoln.ac.uk
Mon Mar 26 00:25:23 PDT 2018
Postdoctoral Research Fellows in Robotics, Machine Learning and Computer
Vision (Fixed Term)School of Computer Science*Location: *Brayford
*Salary: * From £32,548 per annum
This post is full time, fixed term for 2 years.
*Closing Date: * Saturday 31 March 2018
*Interview Date: * Wednesday 18 April 2018
We are looking to recruit up 2 Postdoctoral Research Fellows with research
profiles in robotics in extreme environment, robot learning, robot
grasping, robot motion planning, robotic navigation and mapping, robotic
scheduling and planning, or robotics system science and engineering, to
join our growing robotics research team.
The successful candidates will work within the National Center for Nuclear
Robotics, which is an EPSRC RAI Hub. The hub is a large consortium of
robotics experts in the UK including Universities of Birmingham, Queen
Mary, Essex, Bristol, Edinburgh and Lincoln. Under this project, more than
40 postdoctoral researchers and PhD researchers form a team to develop
cutting edge scientific solutions to all aspects of robotics in extreme
environments such as sensor and manipulator design, computer vision,
robotic grasping and manipulation, mobile robotics, intuitive user
interfaces and shared autonomy.
At the University of Lincoln, we will develop new machine learning
algorithms for several crucial applications in robotics in extreme
environments such as handling of nuclear waste and site monitoring with
mobile robots. Clean-up and decommissioning of nuclear waste is one of the
biggest challenges for our and the next generations with enormous predicted
costs (up to 200Bn£ over the next hundred years). Moreover, recent disaster
situations such as Fukushima have shown the crucial importance of robotics
technology for monitoring and intervention, which is missing up to date.
Our team will focus on algorithms for vision guided robot grasping and
manipulation, cutting, shared control and semi-autonomy, mobile robot
navigation and outdoor mapping and navigation with a strong focus on
machine learning and adaptation techniques. A dedicated bimanual robot arm
platform is being developed, mounted a mobile platform, and to be operated
using shared autonomy, tele-operation and augmented reality concepts to be
You will have access to state-of-the-art research robot equipment
consisting of cutting-edge robot arms and outdoor mobile robots. Through
the close collaboration with industry and academic partners, you will be
embedded in a national consortium, with excellent opportunities to develop
a strong individual research portfolio while being engaged in impactful and
exciting research solving real-world problems of great societal need.
We are looking to recruit postdoctoral researchers with relevant experience
and/or a keen interest in a number of research areas, including (but not
Learning from Demonstrations
Robot Grasping and Manipulation
Motion Planning and Control
Virtual Reality and Augmented Reality
Robot mapping and localisation (SLAM) as well as navigation;
Software engineering in robotics; and
Integration and orchestration of robotic systems.
You will be placed at the centre of this exciting project, collaborating
closely with other researchers and universities, taking a leading role in
the research, development, integration and orchestration of the overall
system, with a focus on algorithm development and software development.
Applicants should have or expect to soon obtain, a PhD in a relevant area.
You must have excellent mathematical and coding skills (C++/Python, ROS).
This opportunity allows you to engage in international collaboration within
an ambitious team, to work with state-of-the-art robotic hardware and
software, and to benefit from excellent support to produce and disseminate
original research contributions in the leading international conferences
You will also contribute to the University's ambition to achieve
international recognition as a research intensive institution and will be
expected to design, conduct and manage original research in the above
subject areas as well contribute to the wider activities of the Lincoln
Centre for Autonomous Systems (L-CAS <https://urldefense.proofpoint.com/v2/url?u=https-3A__lcas.lincoln.ac.uk_wp_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=eX2Sm7iLvwRK-kq28O8NHsRtTF8DX6TQccevOIe9nrY&s=zu8CH8Ies6SMClXUEmsEzjqmkM2AatuLXU2GTvb_Swo&e=>).
Evidence of authorship of research outputs of international standing is
essential, as is the ability to work collaboratively as part of a team,
including excellent written and spoken communication skills. Opportunities
to mentor and co-supervise PhD students working in the project team will
also be available to outstanding candidates.
Informal enquiries about the post can be made to Prof. Gerhard Neumann
(email: gneumann at lincoln.ac.uk) and Dr. Marc Hanheide (
mhanheide at lincoln.ac.uk).
Prof. Gerhard Neumann
Chair of Computational Learning for Autonomous Systems
School of Computer Science
University of Lincoln
Lincoln, LN6 7TS
[image: TEF Gold] <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.lincoln.ac.uk_opendays&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=eX2Sm7iLvwRK-kq28O8NHsRtTF8DX6TQccevOIe9nrY&s=8A6MhrczAQWBN8adQ_hQIXewThN2EYbJp-qeX4rRytM&e=>
*The University of Lincoln, located in the heart of the city of Lincoln,
has established an international reputation based on high student
satisfaction, excellent graduate employment and world-class research.*
The information in this e-mail and any attachments may be confidential. If
you have received this email in error please notify the sender immediately
and remove it from your system. Do not disclose the contents to another
person or take copies.
Email is not secure and may contain viruses. The University of Lincoln
makes every effort to ensure email is sent without viruses, but cannot
guarantee this and recommends recipients take appropriate precautions.
The University may monitor email traffic data and content in accordance
with its policies and English law. Further information can be found at:
More information about the robotics-worldwide