or
Continue with FacebookLooking to list your PhD opportunities? Log in here.
This project is no longer listed on FindAPhD.com and may not be available.
Click here to search FindAPhD.com for PhD studentship opportunities
Dr L Mihaylova
No more applications being accepted
Funded PhD Project (Students Worldwide)
About the Project
Flooded with information, decision making systems have to be able to cope with the deluge of data and hence solve efficiently complex and high dimensional problems. Conventional methods fall short in providing reliable solutions in such cases and a new way of thinking, new methods are needed. This project aims at developing scalable Bayesian approaches able to solve complex and high dimensional problems with multi-sensor data. Two of the foreseen application areas are vehicular traffic systems and video processing. However, the goal is to develop approaches which are general and applicable to any area.
Methods for distributed inference and decision making will be studied too, e.g., based on sequential Monte Carlo methods, Markov Chain Monte Carlo (MCMC), combined with compressed sensing for optimal management of the resources of sensor networks. Scenarios with more than hundreds of objects (for crowd and riots tracking) monitored by CCTV will also be considered. Solutions to these problems could lead to practical implementations and would be directly applicable to a range of industrial multi-sensor multi-target (and group) tracking problems in many sensor applications including radar and wireless networks.
Informal enquiries may be directed to Dr Lyudmila Mihaylova, [Email Address Removed], tel: +44 (0)1524 510388.
Methods for distributed inference and decision making will be studied too, e.g., based on sequential Monte Carlo methods, Markov Chain Monte Carlo (MCMC), combined with compressed sensing for optimal management of the resources of sensor networks. Scenarios with more than hundreds of objects (for crowd and riots tracking) monitored by CCTV will also be considered. Solutions to these problems could lead to practical implementations and would be directly applicable to a range of industrial multi-sensor multi-target (and group) tracking problems in many sensor applications including radar and wireless networks.
Informal enquiries may be directed to Dr Lyudmila Mihaylova, [Email Address Removed], tel: +44 (0)1524 510388.
Funding Notes
Salary: 38000 euros (for early stage researchers) plus generous mobility allowances (see page 65 from
http://ec.europa.eu/research/mariecurieactions/documents/documentation/legal-docs/marie-curie-actions-fellowships-people-wp-201301_en.pdf )
Full Time Fixed Term: 36 months
Applications are invited for two Marie Curie Early Stage Researchers (ESRs) (PhD students) positions within the School of Computing and Communications, Lancaster University (http://www.scc.lancaster.ac.uk/) to start from October 2013 or as soon as possible.
The position is associated with a three-year EU-funded project aimed at the development of methods for solving problems of complex systems. The project partners are Linkoping University, Fraunhofer Institute (FKII Wachtberg), Delft University, Thales Netherlands, Rinicom Ltd and Ericsson.
http://ec.europa.eu/research/mariecurieactions/documents/documentation/legal-docs/marie-curie-actions-fellowships-people-wp-201301_en.pdf )
Full Time Fixed Term: 36 months
Applications are invited for two Marie Curie Early Stage Researchers (ESRs) (PhD students) positions within the School of Computing and Communications, Lancaster University (http://www.scc.lancaster.ac.uk/) to start from October 2013 or as soon as possible.
The position is associated with a three-year EU-funded project aimed at the development of methods for solving problems of complex systems. The project partners are Linkoping University, Fraunhofer Institute (FKII Wachtberg), Delft University, Thales Netherlands, Rinicom Ltd and Ericsson.
References
Eligibility
According to the EU regulations the eligible candidates can be nationals of any country other than the country of the premises of the host organisation where they will carry out their project. Researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the host for more than 12 months in the 3 years immediately prior to their recruitment. Further information can be obtained from (eg, ftp://ftp.cordis.europa.eu/pub/fp7/docs/fp7-mga-annex3intramulti_en.pdf ).
To be considered for this post, you must have a good first degree (minimum class 2:1) in signal processing, electrical engineering, aerospace engineering, mathematics, statistics, physics, or a related area. The following background will be useful: statistical signal processing, probability theory, Bayesian inference optimisation methods or equivalent experience, would be beneficial. You will also be experienced in conducting research projects both individually and as part of a team.
The eligibility requirements for an Early Stage Researcher under the European Commission Framework 7 Early Stage Training Scheme will be satisfied if the candidates have:
• Less than four years research experience and must not possess a PhD. This is measured from the date when they obtained the degree which would formally entitle them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided.
• To not be a national of the United Kingdom. There are two exceptions: 1) researchers with more than one nationality can be recruited if they have not resided in the UK during the previous five years; 2) researchers who have legally resided and have had their principal activity (work, studies, etc) in a third country for at least three out of the last four years).
• To not have resided or carried out their main activity in the UK for more than twelve months in the three years immediately prior to their recruitment.
More information on Marie Curie initial training networks can be obtained from: http://ec.europa.eu/mariecurieactions
According to the EU regulations the eligible candidates can be nationals of any country other than the country of the premises of the host organisation where they will carry out their project. Researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the host for more than 12 months in the 3 years immediately prior to their recruitment. Further information can be obtained from (eg, ftp://ftp.cordis.europa.eu/pub/fp7/docs/fp7-mga-annex3intramulti_en.pdf ).
To be considered for this post, you must have a good first degree (minimum class 2:1) in signal processing, electrical engineering, aerospace engineering, mathematics, statistics, physics, or a related area. The following background will be useful: statistical signal processing, probability theory, Bayesian inference optimisation methods or equivalent experience, would be beneficial. You will also be experienced in conducting research projects both individually and as part of a team.
The eligibility requirements for an Early Stage Researcher under the European Commission Framework 7 Early Stage Training Scheme will be satisfied if the candidates have:
• Less than four years research experience and must not possess a PhD. This is measured from the date when they obtained the degree which would formally entitle them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided.
• To not be a national of the United Kingdom. There are two exceptions: 1) researchers with more than one nationality can be recruited if they have not resided in the UK during the previous five years; 2) researchers who have legally resided and have had their principal activity (work, studies, etc) in a third country for at least three out of the last four years).
• To not have resided or carried out their main activity in the UK for more than twelve months in the three years immediately prior to their recruitment.
More information on Marie Curie initial training networks can be obtained from: http://ec.europa.eu/mariecurieactions
Find a scholarship to fund your dream Masters
Sign in to view and filter all scholarship opportunities
or
Continue with Facebook