Research Fellow 2, H2020 Rescuer Project

Greenwich, United Kingdom
£33,797 to £39,152 plus £3762 London weighting
Oct 25, 2021
End of advertisement period
Nov 05, 2021
Contract Type
Fixed Term
Full Time

School of Computing & Mathematical Sciences

Location: Greenwich
Salary: £33,797 to £39,152 plus £3762 London weighting
Contract Type: Fixed Term, 18 months with option for further 18 months extension
Closing Date: Friday 05 November 2021
Interview Date: To be confirmed
Reference: 2728-E-E-E

An opportunity has arisen for a research fellow to work in the EU RESCUER 2021 project “RESCUER: first RESponder-Centred support toolkit for operating in adverse and InfrastrUcture-less EnviRonments”. The wider project deals with supporting First Responders (FRs) for operating in adverse and infrastructure-less environments. RESCUER proposes a toolkit that will enhance FRs’ senses, using IoT technologies, enabling them to have enhanced hearing, augmented smelling (e.g., through sensors detecting harmful gases), better vision with cameras that “see” in adverse conditions, technologies of detecting signs of life (e.g., human pulse or mobile devices), remote touching, etc. RESCUER also proposes technologies that allow FRs to have precise self-location, through outdoor and indoor localisation systems. RESCUER will also assess the cognitive load on each FR and help prioritise the information to display to them.

The specific role relates to collecting sensor data from various sensors on each FR’s armour into a handheld device (e.g., mobile phone), pre-processing them to a harmonised format and triggering its sharing to the appropriate components and other entities in the internal and extended FR networks. The challenge here stems from the heterogeneity of the different sensing devices and determining what data should be shared through which network, with what entities and at what times.

You will develop a mechanism that will collect the relevant sensor data and take the information sharing decisions subject to network performance and energy constraints. You will need to have the skills to both design this innovative mechanism and to implement it for deployment in real-life pilots. This research will be expected to be published at a premier related journal or conference.

This is an exciting opportunity to participate in a new area of research and in the process collaborate with our prestigious project partners, including some of the most successful multinational organisations in the areas of Internet of Things and data analytics as well as eight first responder organisations from across Europe.

You will need to have a PhD (or near completion) in computer science, computer networks, engineering, mathematics or a related topic; be a highly capable software developer with experience in decision support mechanisms and mobile apps; and have internationally recognised research publications in Internet of Things, edge computing, sensor data monitoring or related subjects.

This post is fixed term for 18 months with possibility for extension to 3 years.

Before applying, you may wish to contact Dr. Georgia Sakellari ( for informal enquiries.

For further particulars on this post and details of how to make an online application please go to