JS885 – Junior Research Developer
University of Greenwich
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School of Computing & Mathematical Sciences
Location: Greenwich Campus
Part Time Hours: Maximum 20 hours per week
Contract Type:
Fixed Term
Release Date: Tuesday 27 September 2022
Closing Date: Tuesday 11 October 2022
Interview Date:
To be confirmed
Reference: JS885
The ISEC Research Centre (https://www.isec.group ) of the University of Greenwich is rapidly becoming well-known for the pioneering work in the security and reliability of Internet of Things environments. The group has already won two Horizon H2020 projects (RESCUER and C4IIoT) and two EPSRC projects (CHAI and COCOON) related to IoT reliability.
An opportunity has arisen for a research fellow to work in the EU RESCUER 2021 project (https://rescuerproject.eu ) “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 helping in the development of a localisation mechanism that is based on mobile inertial sensor readings to be used by FRs to estimate their location during a rescue operation. More specifically, a sensor fusion based approach will be developed, where inertial (3D accelerometer and 3D gyroscope), 3D magnetometer, and GNSS (global navigation satellite system) sensor readings will be utilized for localization. The inertial sensors will incrementally estimate the position (accelerometer), and orientation (gyroscope), given their last known readings in time, while the GPS and magnetometer sensor measurements will adjust these predicted location and orientation values, respectively, using algorithms such as Extended Kalman Filter (EKF). We are looking for a developer who is strong programmer and especially confident with mobile development, programming (java socket programming). Knowledge of SLAM (Simultaneous Localisation and Mapping) algorithms, such as Kalman Filter and Extended Kalman Filter is also desirable.
This is an excellent opportunity for someone who wishes to strengthen their CV for industry positions or to pursue a PhD as various opportunities annually arise within the group. The successful candidate will collaborate with Dr Georgia Sakellari and Professor George Loukas at the University of Greenwich, as well as work closely 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 partners (https://rescuerproject.eu/partners/ )
Should you have any queries please contact the HR Recruitment Team on [email protected]
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