Back to search results

Research Associate on ACE-OPS: From Autonomy to Cognitive Assistance in Emergency OperationS

University of Oxford - Department of Computer Science

Location: Oxford
Salary: £32,236 to £39,609 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 16th August 2019
Closes: 25th September 2019
Job Ref: 142158

Department of Computer Science, Parks Road, Oxford

Grade 7 £32,236 - £39,609 p.a.

The Oxford Department of Computer Science has a vacancy for a Postdoctoral Research Associate (PDRA) on the “ACE-OPS: From Autonomy to Cognitive Assistance in Emergency OPerationS” project. This project is funded by EPSRC and will be the basis for a centre-to-centre international collaboration between the University of Oxford, Queensland University of Technology, Australia, and the University of Virginia, US. The successful candidate will be hosted in the Cyber Physical Systems Group of the Computer Science Department at the University of Oxford, and the position is for 3 years fixed-term.

The high level aim of this proposal is to transform emergency operations globally by building on, and across, cutting-edge research in cyber physical systems to reduce risk and ultimately increase the number of lives saved. Specifically, the first goal will be to build autonomous systems capable of handling multiple, and often conflicting, operational needs with limited resources, for example, exploring the tradeoff between localising the emergency team accurately and mapping the environment thoroughly. The second goal will be to explore how to provide holistic awareness about the incident; moving away from siloed systems of location, welfare and environment sensing, and designing an integrated situation awareness system that provides continually evolving insights for decision making in a dynamically changing context. Finally, the project will focus on how and when the output of the situation awareness system should be presented to the response teams.

You will hold a PhD/DPhil (or close to completion) in computer science or a related discipline, together with relevant experience in AI-based sensor information acquisition and fusion for predictive modelling and decision making with previous experience of contributing to publications/presentations in the above areas.  Willingness to engage in collaborations with end users and industrial partners and the ability to contribute ideas for new research projects and research income generation

Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings

Managing own academic research and associated collaborative activities with other universities Interest in visualisation and user-centred design for cognitive assistance of end users Interest in algorithms for situation awareness (e.g. welfare monitoring, localisation etc.) with an interest in human computer interaction

The closing date for applications is 12.00 noon on Monday 25 September 2019.

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.

https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.jobspec?p_id=142158

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from University of Oxford

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge