Research Assistant or Research Fellow in Emergency Flood Planning and Management UAS
Physical and Environmental Sciences,Environmental Sciences,Computer Science,Computer Science,Business and Management Studies,Management
Short info about job
Company: Cranfield University
Department: School of Water, Energy and Environment SWEE
Salary: £23,485 to £31,620 per annum
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1386 9955780
Fax: +44-113 2318908
Detail information about job Research Assistant or Research Fellow in Emergency Flood Planning and Management UAS . Terms and conditions vacancy
Research Assistant if close to completing PhD or Research Fellow if PhD obtained in Emergency Flood Planning and Management UAS
Fixed term contract until 30 April 2020
Salary: £23,485 to £26,900 per annum with additional performance related pay up to £31,620 per annum Research Assistant or £31,620 per annum Research Fellow
Location: Cranfield, Bedfordshire
Cranfield University is an exclusively postgraduate university that is a global leader for education and transformational research in technology and management. This position is one of four new posts at Cranfield related to the EPSRC’s Global Challenges Research Fund programme of research, centred around engineering and digital technologies, to tackle the challenges faced by the developing world.
The project focuses on using unmanned aerial systems UASs to collect, interpret, and disseminate information about flooding as the events are occurring. The project will develop and demonstrate an effective emergency flood management approach based on the real time collection of data by Unmanned Aerial Systems UAS with fast processing mathematical models for flooding, evacuation route planning and adaptive emergency response resource allocation.
You will contribute to the successful delivery of the project. In particular, you will contribute to flood mapping, data assimilation and evacuation route modelling as well as capacity building and user engagement. Your contribution will also be expected as and when required related to UAS guidance, navigation and control GNC ; Adaptive and optimal resources planning; Experiments and Prototype decision support system.
You must have a PhD obtained or near completion in a topic relevant to Image analysis and/or computing, flood modelling or environmental science, alongside experience of developing and using quantitative computer models pertinent to flood modelling and high quality experience of remote sensing techniques and UAS image collection and processing.
You should have a real interest in understanding how emergency response and governance arrangements work in practice and in translating their work into practical tools and techniques for us in practice by emergency responders. You should have sound knowledge of remote sensing and statistical software e.g. modelling, together with the ability of dealing with large data sets.
If you are flexible and dynamic, have very good communications skills, are well-organised and have the ambition to build your own reputation through research, then we would like to hear from you.
For an informal discussion, please contact Dr Monica Rivas Casado, Lecturer in Applied Environmental Statistics on +44 0 1234 75 4433 or [email protected]
Cranfield University is committed to promoting a harmonious working and learning environment where everyone is treated with respect and dignity, recognising that the contribution of all its people will be most effective in conditions which are inclusive.
We are signatories to the Athena SWAN Charter and achieved a Bronze Opportunity Now Award. We also run the Leadership Foundation’s Aurora Programme. Your career at Cranfield will be enhanced through access to extensive research and business training through our learning and development team and doctoral training centres in a collegiate and supportive environment.
Apply online now at www.cranfield.ac.uk/hr or contact us for further details on E: [email protected] or T: +44 0 1234 750111 Ext. 4951. For any enquiries, please quote reference number 2512.
Interviews to be held: 25 September 2017