[robotics-worldwide] [jobs] 4 Research Fellows in Robotics, Machine Learning and Computer Vision, University of Lincoln, UK

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[robotics-worldwide] [jobs] 4 Research Fellows in Robotics, Machine Learning and Computer Vision, University of Lincoln, UK

Gerhard Neumann-3
Postdoctoral Research Fellows in Robotics, Machine Learning and Computer
Vision (Fixed Term) (4 x posts)School of Computer Science*Location:  *
Brayford
*Salary:  * From £32,548 per annum
These posts are full time, fixed term for 2 years (with potential extension
to 39 month)
*Closing Date:  * Thursday 30 November 2017
*Reference:  *COS467

We are looking to recruit up to 4 Postdoctoral Research Fellows working on
robotics in extreme environments with research profiles in 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 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 with focus on nuclear robotics 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
developed.

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
limited to):

   - Learning from Demonstrations
   - Reinforcement Learning
   - Deep Learning
   - Robot Grasping and Manipulation
   - Motion Planning and Control
   - Virtual Reality and Augmented Reality
   - Human-robot collaboration;
   - 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
and journals.

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=YT0PQFSU-CdxqenDXHH3vUpSeddRK1mZRmXvKsG6fQ0&s=ITsWnnJlC03cxHaZ-Quqg-YQDxhTVuNvARt5yxLrLYU&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: [hidden email]) and Prof. Marc Hanheide (
[hidden email]). Applications can be submitted at
https://urldefense.proofpoint.com/v2/url?u=https-3A__jobs.lincoln.ac.uk_vacancy.aspx-3Fref-3DCOS467&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=YT0PQFSU-CdxqenDXHH3vUpSeddRK1mZRmXvKsG6fQ0&s=sZA_7JraeYxEZBpV87Qr64_EabzxfmIqxuMYxG35dK8&e= .

--
--
---------------------------------------------
Prof. Gerhard Neumann
Chair of Computational Learning for Autonomous Systems
School of Computer Science
University of Lincoln
Brayford Pool
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=YT0PQFSU-CdxqenDXHH3vUpSeddRK1mZRmXvKsG6fQ0&s=RL7jBKCj77TPpGx1FZ5dZVK_9-4L5M9zvpHZ2OYZkAc&e=>

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has established an international reputation based on high student
satisfaction, excellent graduate employment and world-class research.*

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