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Position: PhD Studentship - Human-Centric AI in collaboration with Thales UK
Institution: University of Southampton
Location: Southampton, Hampshire, United Kingdom
Duties: The aim is to develop novel AI algorithms and interaction mechanisms to operate and manage large teams of human-agent collectives (HACs): partnerships between humans and software/robotic agents where control can shift between humans and agents and teams may be formed and disband as per the requirement of the mission. Specifically, we will focus on decision making for large HACs that involve hundreds of agents and relatively fewer humans
Requirements: first or upper second-class degree or equivalent in Physics, Mathematics, Computer Science, or Engineering
   
Text: LoginRegisterJob opportunitiesHow to ApplyWorking with UsRelocating to SouthamptonSelection process International recruitmentRecruitment contactsEntitlement to work in the UKPrivacy NoticeContact usFAQ The University of Southampton LoginRegister CoursesUniversity lifeResearchBusinessGlobal × Jobs by Email Jobs by RSS We use cookies to ensure that we give you the best experience on our website. To accept cookies, please click the "Accept Cookies" button. Accept Cookies Recruitment Job opportunitiesHow to applyWorking with usRelocating to SouthamptonSelection processInternational recruitmentRecruitment contactsEntitlement to work in the UK View All Vacancies PhD Studentship - Human-Centric AI in collaboration with Thales UK Cyber Physical Systems Location: Highfield Campus Closing Date: Monday 31 August 2020 Reference: 1259420FP Supervisory team: Prof Michael Butler, Prof Gopal Ramchurn, Dr Danesh Tarapore, Dr Thai Son HoangProject descriptionChallenge: Recent breakthroughs in decision making, sensing and mechanical design, are paving the way for autonomous systems (AS) that can carry out a wide range of tasks of unprecedented complexity, e.g., autonomous air and maritime vehicles, self-driving cars. Increasingly, we see teams involving humans and machines working together in partnership rather than in hierarchical command and control regimes. To ensure such teams achieve their objectives in very dynamic and uncertain environments it is important design intelligent algorithms and interaction mechanisms that guarantee humans and machines understand each others’ goals and can react collaboratively to new information and events. Along with flexibility, a key concern is the trustworthiness of the AI mechanisms that augment human decision-making. Verification of trust of in systems is a significant research and engineering challenge and the lack of effective verification will be a barrier to future deployment of AS. We are seeking candidates for a fully-funded PhD Project to address one these challenges:Flexible autonomy: The aim is to develop novel AI algorithms and interaction mechanisms to operate and manage large teams of human-agent collectives (HACs): partnerships between humans and software/robotic agents where control can shift between humans and agents and teams may be formed and disband as per the requirement of the mission. Specifically, we will focus on decision making for large HACs that involve hundreds of agents and relatively fewer humans. Trustworthy autonomy: The aim is to novel develop methods for capture and analysis of trust requirements, especially safety and security, in the context of autonomous vehicle missions dependent on cooperative HACs. The methods will enable precise capture of critical safety and security requirements as verifiable mathematical models and exploit automated analysis tools for enforcement and verification of trust in autonomous missions. The Candidate should have a keen interest in the interplay between software design and autonomous vehicles and in their safe and secure operation; have the curiosity to question existing designs and the ambition to uncover new ways of achieving security and safety of autonomous systems.If you wish to discuss any details of the project informally, please contact Prof Michael Butler, Email: mbutler@soton.ac.uk, or Prof Gopal Ramchurn, Email: sdr1@soton.ac.uk.Entry Requirementsfirst or upper second-class degree or equivalent in Physics, Mathematics, Computer Science, or Engineering. Closing date: applications should be received no later than 31 August 2020 for standard admissions, but later applications may be considered depending on the funds remaining in place.Funding: full tuition fees, for UK students, and a tax-free stipend of £20,000 per year How To ApplyApplications should be made online, please select the academic session 2020-21 “PhD Computer Science (Full time)” as the programme. Please enter Michael Butler under the proposed supervisor.Applications should include: Research ProposalCurriculum VitaeTwo reference lettersDegree Transcripts to dateApply online: https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.pageFor further information please contact: feps-pgr-apply@soton.ac.uk Email details to a friend Login to your account Please note: Javascript must be enabled to use this website. Email or username Password I accept cookies Login Forgotten your password? Register for an account Register for alerts Jobs by email Jobs by RSS Contact us +44(0)23 8059 5000 +44(0)23 8059 3131 Address University of Southampton University Road Southampton SO17 1BJ United Kingdom Get directions › Connect with us Connect with us on Facebook Connect with us on Twitter Connect with us on Instagram Connect with us on LinkedIn Explore our Youtube channel © 2020 University of Southampton Privacy Notice Contact us FAQ
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