Three-year PhD Studentship
Forum 'Emplois' - Sujet créé le 2013-02-23
The Portsmouth Business Schoolis offereing a three-year PhD Studentship in , starting 1 October 2013.
Topic:
The persistent surveillance problem consists of covering a particular area of interest (AOI) in order to detect abnormal conditions. In real-life applications, this problem is mainly found in the context of security, for example, in airborne, land-based and sea-based border surveillance scenarios. With differing conditions, vehicle constraints may vary and, therefore, different conditions have to be taken into account including motion and endurance constraints. The problem is mainly solved by using default patterns to ensure a balanced coverage of the AOI. This approach imposes the challenge of adapting to particular scenario-dependent conditions including prioritised regions, obstacles and non-regular shaped AOIs. The supervisory team has worked on the FP7 EU funded project SEABILLA (www.seabilla.eu), where one milestone has been the design of an optimal routing algorithm for Unmanned Aerial Vehicles (UAV) in a persistent surveillance mission. The routing must be efficient (for example, minimise the distance travelled) and effective (for example, maximise the detection rate of abnormal behaviour). This problem has been solved under the assumption that all UAVs have the same capabilities (speed, sensors range, turning angle, etc.). However, in practice UAV fleet capabilities may vary which introduces an additional substantial level of complexity.
This PhD project aims to extend our research in persistent coverage for UAVs with a possible
focus on:
• The integration of UAV platforms with different capabilities in the coverage exercise.
• The incorporation of a learning-based concept that is able to adapt the routing in accordance to the new suspicious categorised area by learning from previously detected abnormal behaviour of maritime vehicles.
• The outline of a performance comparison of traditional pattern routing and the new proposed approach.
Qualifications: Applicants will have a good first degree (minimum 2.1 or equivalent) and ideally a Masters (or equivalent) in a relevant subject area.
Enquiries relating to the topic should be directed to: Dr. Jana Ries (jana.ries@port.ac.uk) or Dr Alessio Ishizaka (alessio.ishizaka@port.ac.uk)
Qualifications: Applicants will have a good first degree (minimum 2.1 or equivalent) and ideally a Masters (or equivalent) in a relevant subject area.
Applications should include:
• a full CV including personal details, qualifications, educational history and, where applicable, any employment or other experience relevant to the application
• contact details for TWO referees able to comment on your academic performance
• a statement of 1,000 (words) outlining your proposed project, identifying the objectives of the research and discussing how the work will build on or challenge existing research in the above field.
Application deadline: 19 April 2013
Interviews will be conducted on Thursday 23 May 2013.
Applications should be sent to: Jana Ries, Postgraduate Centre, University of Portsmouth, Richmond Building, Portland Street, Portsmouth, PO1 3DE (applications can be submitted electronically via: lauren.payne@port.ac.uk and cc to jana.ries@port.ac.uk)
Funding Notes:
Funding Status:The studentship will cover tuition fees and an annual grant equivalent to that offered by the ESRC – set at £13,720 per annum for 2013/14 for a maximum of three years. UK/EU residence eligibility conditions apply.
This full-time studentship is open to Home/EU students and is located in Portsmouth Business School. Potential applicants are advised to examine our Research Degree Pages at
http://www.port.ac.uk/departments/faculties/portsmouthbusinessschool/researchdegrees/ prior to applying.
Alessio Ishizaka
-----8<---------------------------------
Dr Alessio Ishizaka
Reader in Decision Analysis
Leader of the Operations Research and Logistics Team
University of Portsmouth
PBS, Operations & Systems Management
Portsmouth PO1 3DE
United Kingdom
Tel: 0044(0)23 9284 4171
Email: Alessio.Ishizaka@port.ac.uk
Webpage: http://www.port.ac.uk/departments/faculties/portsmouthbusinessschool/academicstaff/operationsandsyst emsmanagement/title,164039,en.html
-----8<---------------------------------
New Book!
Multi-criteria Decision Analysis: Methods and Software
Alessio Ishizaka, Philippe Nemery
Wiley, July 2013
ISBN: 978-1-1199-7407-9
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1119974070.html
Topic:
The persistent surveillance problem consists of covering a particular area of interest (AOI) in order to detect abnormal conditions. In real-life applications, this problem is mainly found in the context of security, for example, in airborne, land-based and sea-based border surveillance scenarios. With differing conditions, vehicle constraints may vary and, therefore, different conditions have to be taken into account including motion and endurance constraints. The problem is mainly solved by using default patterns to ensure a balanced coverage of the AOI. This approach imposes the challenge of adapting to particular scenario-dependent conditions including prioritised regions, obstacles and non-regular shaped AOIs. The supervisory team has worked on the FP7 EU funded project SEABILLA (www.seabilla.eu), where one milestone has been the design of an optimal routing algorithm for Unmanned Aerial Vehicles (UAV) in a persistent surveillance mission. The routing must be efficient (for example, minimise the distance travelled) and effective (for example, maximise the detection rate of abnormal behaviour). This problem has been solved under the assumption that all UAVs have the same capabilities (speed, sensors range, turning angle, etc.). However, in practice UAV fleet capabilities may vary which introduces an additional substantial level of complexity.
This PhD project aims to extend our research in persistent coverage for UAVs with a possible
focus on:
• The integration of UAV platforms with different capabilities in the coverage exercise.
• The incorporation of a learning-based concept that is able to adapt the routing in accordance to the new suspicious categorised area by learning from previously detected abnormal behaviour of maritime vehicles.
• The outline of a performance comparison of traditional pattern routing and the new proposed approach.
Qualifications: Applicants will have a good first degree (minimum 2.1 or equivalent) and ideally a Masters (or equivalent) in a relevant subject area.
Enquiries relating to the topic should be directed to: Dr. Jana Ries (jana.ries@port.ac.uk) or Dr Alessio Ishizaka (alessio.ishizaka@port.ac.uk)
Qualifications: Applicants will have a good first degree (minimum 2.1 or equivalent) and ideally a Masters (or equivalent) in a relevant subject area.
Applications should include:
• a full CV including personal details, qualifications, educational history and, where applicable, any employment or other experience relevant to the application
• contact details for TWO referees able to comment on your academic performance
• a statement of 1,000 (words) outlining your proposed project, identifying the objectives of the research and discussing how the work will build on or challenge existing research in the above field.
Application deadline: 19 April 2013
Interviews will be conducted on Thursday 23 May 2013.
Applications should be sent to: Jana Ries, Postgraduate Centre, University of Portsmouth, Richmond Building, Portland Street, Portsmouth, PO1 3DE (applications can be submitted electronically via: lauren.payne@port.ac.uk and cc to jana.ries@port.ac.uk)
Funding Notes:
Funding Status:The studentship will cover tuition fees and an annual grant equivalent to that offered by the ESRC – set at £13,720 per annum for 2013/14 for a maximum of three years. UK/EU residence eligibility conditions apply.
This full-time studentship is open to Home/EU students and is located in Portsmouth Business School. Potential applicants are advised to examine our Research Degree Pages at
http://www.port.ac.uk/departments/faculties/portsmouthbusinessschool/researchdegrees/ prior to applying.
Alessio Ishizaka
-----8<---------------------------------
Dr Alessio Ishizaka
Reader in Decision Analysis
Leader of the Operations Research and Logistics Team
University of Portsmouth
PBS, Operations & Systems Management
Portsmouth PO1 3DE
United Kingdom
Tel: 0044(0)23 9284 4171
Email: Alessio.Ishizaka@port.ac.uk
Webpage: http://www.port.ac.uk/departments/faculties/portsmouthbusinessschool/academicstaff/operationsandsyst emsmanagement/title,164039,en.html
-----8<---------------------------------
New Book!
Multi-criteria Decision Analysis: Methods and Software
Alessio Ishizaka, Philippe Nemery
Wiley, July 2013
ISBN: 978-1-1199-7407-9
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1119974070.html