[robotics-worldwide] [jobs] Post-Doctoral Research Fellow in Autonomous Mobile Robots at the University of Plymouth

Mario Gianni mario.gianni at plymouth.ac.uk
Tue Nov 20 02:22:07 PST 2018


A post-doctoral research fellow is required to work on the new project
entitled “Robot-teaming for collaborative terrain traversability assessment
of nuclear environments” under the Collaboration Agreement in respect of the
establishment of the UK EPSRC-funded Programme Grant Project National Centre
for Nuclear Robotics (NCNR).

*Job Description*
The post-doctoral research fellow will carry out research on 3D semantic
mapping, autonomous navigation, coordination and cooperation of multiple
heterogeneous robots (e.g., wheeled, tracked, legged, flying) for the design
and development of a framework enabling the robot team to build and maintain
over time a collective and continuous spatio-temporal terrain traversability
assessment of nuclear environments.

The framework shall take as input the different perceptual models, coming
from the robots during synchronous and asynchronous operations (e.g., 3D
semantic maps, traversability maps) in a nuclear environment. It shall
gradually update them across the operations, and, finally, it shall
consistently register them to provide a coherent world-centric model of the
nuclear environment where safe, reliable and effective coordination and
cooperation can take place.

*Required Qualifications*
The candidate must have a PhD in Computer Science, Robotics, Artificial
Intelligence or allied disciplines. Must have strong skills in mathematics
and machine learning (with a focus on statistics and optimization), and
record of publications in relevant conferences and journals. Must have
experience in robotics and be capable to conduct complex robotic experiments
in real hazardous environments. Programming proficiency in C/C++, Matlab,
Virtual Simulation Frameworks and Python. Expertise with real robot systems
and ROS will be appreciated as desirable skills.

*Duties and responsibilities*
The research fellow will be working collaboratively as part of a larger
research team at the Autonomous Mobile Robotics And Manipulation (AMRAM)
Laboratory led by Dr Mario Gianni. AMRAM is a new and emerging laboratory at
the University of Plymouth pursuing cutting edge research activities in the
field of Computer Vision, Perception, Artificial Intelligence and Robot
Learning applied to autonomous robot-assisted response in hazards,
prevention and safety-critical operations.  
 
The mission of this research laboratory is to provide candidates with deep
knowledge understanding and highly-valued competences to develop advanced
robotic solutions in mobile manipulation, motion planning and control for
domain applications where the magnitude of hazards and risks reach the point
that human exposure represents either a direct threat to life or long-term
health consequences. 

The research fellow will also work collaboratively with the academic
partners of the NCNR projects as well as industrial stakeholders in the UK.
The appointed candidate will be required to travel for project meetings and
between partners’ sites.  

*Offer*
-	Salary: £34,189 to £39,609 per annum – Grade 7 (Please note that the lower
figure will be the expected starting salary)
-	Contract Type: full-time position working 37 hours per week on a
fixed-term basis for 24 months due to funding.
-	Expected start date: 1st February 2019 (or as soon as possible after this
date, subject to negotiation).

*How to apply*
Candidates can apply online by visiting the application link below
https://urldefense.proofpoint.com/v2/url?u=https-3A__hrservices.plymouth.ac.uk_tlive-5Fwebrecruitment_wrd_run_ETREC107GF.open-3FVACANCY-5FID-3D116397C4Iw-26WVID-3D1602750fTZ-26LANG-3DUSA&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=jpomrRpDsxBVawrddjAZz11XZxCsu5_FjfzyPkJpmLM&s=vW5XsMQX3jNxtkE8ybSCJh8HrQoGyNU46WxpgLZG2zM&e=
<https://urldefense.proofpoint.com/v2/url?u=https-3A__hrservices.plymouth.ac.uk_tlive-5Fwebrecruitment_wrd_run_ETREC107GF.open-3FVACANCY-5FID-3D116397C4Iw-26WVID-3D1602750fTZ-26LANG-3DUSA&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=jpomrRpDsxBVawrddjAZz11XZxCsu5_FjfzyPkJpmLM&s=vW5XsMQX3jNxtkE8ybSCJh8HrQoGyNU46WxpgLZG2zM&e=>  

*Application Closing date: 16th December 2018*


*Contact for informal discussion:*
Informal enquiries regarding the post, the project or the research details
can be made to Dr Mario Gianni (mario.gianni at plymouth.ac.uk or +44 1752
586318). 

Further information about the school and its courses is available at: 
www.plymouth.ac.uk/compmath <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.plymouth.ac.uk_compmath&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=jpomrRpDsxBVawrddjAZz11XZxCsu5_FjfzyPkJpmLM&s=8a-tonPJmz-4MZP6y5SwZqx7n7_Lp9Vqsm2jCIGdVns&e=>  , with
details of our research centre available at: 
www.plymouth.ac.uk/research/crns <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.plymouth.ac.uk_research_crns&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=jpomrRpDsxBVawrddjAZz11XZxCsu5_FjfzyPkJpmLM&s=2BRql_WIKzIXFgR9zya1CKe6m0hnEFKnVXVG3gg9n00&e=>  

The University of Plymouth is committed to equality of opportunity,
promoting a diverse and inclusive culture, demonstrated through our
commitment to the gender equality Athena SWAN Charter and as a Stonewall
diversity champion. All applications will be judged solely on merit,
however, we particularly welcome applications from groups currently
under-represented in the workforce, for example black and minority ethnic
groups.

University of Plymouth holds a TEF (Teaching Excellence and Student Outcomes
Framework) Silver by the Office for Students.


Dr Mario Gianni 
Lecturer in Computer Science and Robotics
School of Computing, Electronics and Mathematics
Faculty of Science and Engineering
Plymouth University
B316 Portland Square
Drake Circus, Devon PL48AA, UK
+44(0)1752 586318





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