[robotics-worldwide] [jobs] Still available: FUNDED PhD position in HRI with industrial robots at University of Glasgow

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[robotics-worldwide] [jobs] Still available: FUNDED PhD position in HRI with industrial robots at University of Glasgow

Mary Ellen Foster-2
The University of Glasgow is still seeking applications for the following funded, four-year PhD position in the area of Human-Robot Interaction, planning, and explainable AI. Interested students should apply as soon as possible: note that potential students must apply through the University of Glasgow application system as linked in the FindAPhD adverts – feel free to contact me directly if you have questions, but only applications received through the University of Glasgow can be considered.

Eligibility: UK/EU students only
Start date: October 2018
Full details at https://urldefense.proofpoint.com/v2/url?u=https-3A__www.findaphd.com_search_ProjectDetails.aspx-3FPJID-3D98605&d=DwIGaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=xh30J-6-rwLzzudD6QnLQUbILsqkMb2usVLZ_2aL1xQ&s=7t0IVmH-9MF2RNh0PPaTGrkt71NtlhnP_OL5Tqz24bo&e= (nb: this advert is listed as closed but applications are still being accepted)

This project will investigate how such human-robot collaborative tasks can be carried out, concentrating on the communication aspects: how the robot communicates its intentions to the human, and how the human can query and interact with the robot’s plan. The research will be driven by oilfield drilling applications, which involve control of complex equipment in a dynamic environment, with an increasing level of automation. Close coordination between the human crew and the automation system is often required, as is building trust between the human and the machine so that the crew understand why the machine acts the way it does and is confident it has taken all available information into account. The project is an EPSRC iCASE award with Schlumberger Gould Research and it is expected that the student will spend some time working with the company in Cambridge.

The student should have excellent experience, enthusiasm and skills in the areas of natural language or multimodal interaction and/or automated planning and reasoning. The exact details of the project can be adapted to the student’s particular skills and interests. Applicants must hold a good Bachelor’s or Master’s degree in a relevant discipline.

For more information, please contact Dr Mary Ellen Foster [hidden email]<mailto:[hidden email]>


Dr Mary Ellen Foster, Senior Lecturer in Computing Science

[University of Glasgow: The Times Scottish University of the Year 2018]
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[robotics-worldwide] [ICAPS] [jobs] 6 post-doc positions on Artificial Intelligence planning and decision-making for social robotic systems in public space

Abdel-Illah Mouaddib
The Group Model, Agent and Decision in the Lab of Research on Image
processing, Information processing, Computer science and Electronics of
Caen (GREYC) at the university of Caen Normandy
( [ https://urldefense.proofpoint.com/v2/url?u=https-3A__www.greyc.fr_-3Fpage-5Fid-3D439&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2zs45hNtTnFtWWB8_G8euX08DUljc7HAx5x40YL2v7g&s=yabkVbcji4HhQsg86uX7qgfPGHMDf25iRQ6DJAAmXmg&e= | https://urldefense.proofpoint.com/v2/url?u=https-3A__www.greyc.fr_-3Fpage-5Fid-3D439&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2zs45hNtTnFtWWB8_G8euX08DUljc7HAx5x40YL2v7g&s=yabkVbcji4HhQsg86uX7qgfPGHMDf25iRQ6DJAAmXmg&e= ] ) is recruiting Research Associates to
perform cutting-edge research on Artificial Intelligence Reasoning,
Planning and decision-making in autonomous systems for public spaces,
surveillance and security. The positions represent a unique opportunity
to work with truly world leading academics and fellow research
associates (a total of 20 members) on frontier research for AI and
robotics in complex environments.

The research group focused on Model, Intelligent Agent and
Decision-making activities are designed to lead advancement in AI
technologies and key robotics that will create a step change in current
practice of Assistant robots in public space and drones in complex
situations for surveillance and assessment.

Multi-robot and human-robot teaming

The research team concerns multi-robot and human-robot teaming for joint
activities leading to the problems of social navigation and interaction,
multi-robots coordination, human-robot interaction and situation
awareness representing the following key scientific challenges:

1)Position 1: Social Navigation and interaction where the social norms
should be considered. Classical algorithms for navigation and
interaction should be revisited to consider the welfare being of humans
when the robot navigates around or interacts with them.

a)Theoretical required skills: social norms, decision-theoretic
approaches (MDP, POMDP), planning and navigation

b)Required programming skills: ROS, Open CV, C/C++, Java.

2)Position 2: Path planning in public space should consider a very large
map where the representation is huge and algorithms becomes
time-consuming and not reactive. Also, there are varieties of topologies
to manage leading to new challenges for path planning and navigation

a)Theoretical required skills: search algorithms, distributed
algorithms, decision-theoretic approaches (MDP, POMDP), planning

b)Required programming skills: ROS, Open CV, C/C++, Java.

3)Position 3: Active perception as decision-making problem where a
system maintains a belief on the hypothesis and should disambiguate the
situation by acting on sensor to change his beliefs and to improve his
situation awareness. A new epistemic model using probabilistic models
should be developed with efficient algorithms evaluated on robots for
surveillance and security.

a)Theoretical required skills: Information theory, decision-theoretic
approaches (POMDP), Bayesian belief propagation.

b)Required programming skills: ROS, Open CV, C/C++, Java.

4)Position 4: Muti-robot coordination for assistance in public space
where we develop a system for multiple robots with multiple KB,
distributed reasoning with different knowledge and information that
should plan and act in a coordinated way. This problem consists in
developing distributed reasoning and decision-making with or without
communication to develop a joint coordinated activity of a fleet of robot.

a)Theoretical required skills: Multi-agent systems, Decentralized
decision-theoretic (DEC-POMDP, ND-POMDP), multi-agent planning.

b)Required programming skills: ROS, Open CV, simulation tools, C/C++, Java.

5)Position 5: Coordination in a competitive environment where the system
should adapt its behavior to an adversary element. We propose to study a
problem of a stochastic game to compute the policy of an agent according
to unknown but estimated policies of an adversary. This theoretical
framework should be evaluated in the context of trajectory computation
of a robot while avoiding to be detected by the other robots. The formal
framework should be generalized to a team of robots against another

a)Theoretical required skills: game-theoretic approaches (POSG),
Augmented models, distributed solving problems.

b)Required programming skills: ROS, Open CV, simulation tools, C/C++, Java.

6 )Position 6 : Coordination between autonomous and semi-autonomous
systems. In this problem we re-visit all coordination techniques of
coordination where most of them assume that plans of the other systems
are known. In this post-doc position we are interested in coordinating
cooperative systems where some of them are semi-autonomous and the human
is in their control loop where he can change their behavior.

a)Theoretical required skills: Multi-agent systems, Decentralized
decision-theoretic (DEC-POMDP, ND-POMDP), multi-agent planning.

b)Required programming skills: ROS, Open CV, simulation tools, C/C++, Java.

We will investigate all these research directions in the context of
robotic projects funded by different French government entities. Most of
these positions are developed in cooperation with French academic and
industrial partners.

Candidates should have a PhD in computer science and/or robotics. Strong
competences in mobile robotics, IA techniques: Reasoning, Planning and
Learning in multi-agent settings are required, with hands on experience
with implementation of algorithms on real robots. Candidates will work
as part of a large team of researchers and we expect excellent
communication and teamwork ability from any candidates to these positions.

Th post-doc salary is around 2600€/month but taxes should be excluded.

Applications will be fully considered until the positions are filled.
The positions should start as soon as possible. A first vague of
positions should start in the mid of September, beginning of October.
The second vague, the beginning of November.

Applications should be sent to: [hidden email] < mailto:[hidden email] >

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