CORDA Longmore PhD Scholarship
The Hamlyn Centre
Institute of Global Health Innovation, Imperial College London
Applications are invited for 2013 CORDA Longmore PhD Scholarship in cardiovascular magnetic resonance imaging. The scholarship is in recognition of the pioneering effort of Professor Donald Longmore in cardiovascular magnetic resonance imaging and to further CORDA’s aim of early diagnosis and treatment of heart disease and stroke through the use of fast, painless and non-invasive means and then to reverse the disease. The key research areas of the proposed PhD fellow include (but not limited to):
- Real-time image processing techniques for rapid and adaptive imaging
- Integrated/targeted multi-spectral cardiovascular imaging
- Patient specific modelling for prognostic evaluation of therapeutic measures
Applicants with strong experience and a proven track record in biomedical imaging are encouraged to apply. Successful candidates will need to have a strong first degree (at least 2:1 or above) in engineering, physics, or computing. Preference will be given to applicants with a proven research record and good publications in medical imaging or general image analysis.
The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare. Focusing on technological innovation but with a strong emphasis on clinical translation and direct patient benefit with a global impact, the centre is at the forefront of research in imaging, sensing and robotics for addressing global health challenges associated with demographic, environment, social and economic changes.
How to apply:
Before you apply, please visit the Imperial College’s general information page of Imperial College’s registry on basic requirements for PhD admissions.
For your application pack, please include:
- A full CV including a full publication list if applicable
- A 2 page research statement for your proposed PhD research
- Transcript of your previous degrees
Please email all above to: Miss Raphaele Raupp email: r.raupp@imperial.ac.uk, quoting reference CORDA2013.
Closing date: Midnight 3rd February 2013
Funded PhD studentship: Algorithms for real-time self-learning, self-healing network protocol classification and analysis
The Department of Computing is a leading department of Computer Science among the UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises and was rated as "Excellent" in the previous national assessment of teaching quality.
An EPSRC/Detica PhD CASE studentship is available which aims to investigate machine learning algorithms for the analysis and classification of network protocols within traffic flows in order to identify those that have been hijacked for use as cyber, malware, and virus attack vectors. The goal is to develop algorithms suitable for online, automated, real-time use, that “self-learn” and classify (with / without training data) with little manual intervention or guidance. In addition, these algorithms must be equipped with “self-healing” properties in order to be resilient to application protocol changes leading to low sustainment costs.
The student will be located at Imperial College and will be supervised jointly by Dr Tony Field and Dr Naranker Dulay. They will also work closely with researchers at Detica Electronic Systems Group.
If successful you may be required to obtain the necessary clearances for the sensitivities surrounding the applications of this work. The studentship provides fees and a full bursary to support living expenses for three years for UK and EU candidates. Candidates should have excellent degree qualifications in a closely related topic, and a demonstrable strong interest in machine learning and cyber security. To apply, please send:
- a full CV, including the names and contact details of two referees;
- and a covering letter explaining your interest in the position
by email to Dr Tony Field, Department of Computing, Imperial College London at bridget.gundry@imperial.ac.uk.
Any enquiries can be directed to the same address.
Closing date 28th February 2013. The studentship aims to begin in April 2013.
Funded PhD studentship in Machine Learning and Text Mining of Ecological data
The Department of Computing is a leading department of Computer Science among the UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises and was rated as "Excellent" in t he previous national assessment of teaching quality.
The Computational Bioinformatics Laboratory at Imperial College London's Department of Computing is collaborating with a major UK manufacturer to advance the construction and corroboration of agricultural food webs.
A BBSRC/Syngenta PhD CASE studentship is available with the aim to investigate how Inductive Logic Programming could .overcome limitations of techniques which are only based on co-regulation of population numbers by integrating literature text mining with other logic learning techniques. The aim is to solve the problem of finding different relations among the numerous textual data sources. This work will build on and interact with recent research on logic-based machine learning, as well as developing techniques for extracting information from natural language web-based sources.
The student, located at Imperial College and supervised by Prof Stephen Muggleton, will also work closely with researchers at the company who are developing real-world applications of machine learning.
The studentship is restricted to candidates of EU nationality who have been resident within the UK/EU for the last 3 years. It provides fees and a full bursary (see BBSRC eligibility criteria) to support living expenses for three years. Candidates should have excellent degree qualifications in a closely related topic, and a demonstrable strong interest in robotics and computer vision. To apply, please send:
- a full CV, including the names and contact details of two referees;
- and a covering letter explaining your interest in the position
by email to Prof Stephen Muggleton, Department of Computing, Imperial College London at bridget.gundry@imperial.ac.uk.
Any enquiries can be directed to the same address.
Closing date 15th March 2013. For the right candidate the studentship will be available to start from 1st October 2013.
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PhD Studentship in Security and Resilience of Cyber-Physical Systems
Pervasive systems and wireless sensor networks for infrastructure monitoring bring new security concerns that challenge traditional security assumptions and require new and innovative solutions. The physical availability of the nodes, the scale of systems necessary to monitor citywide infrastructures such as roads, railways, water systems or population flows and the challenges of wireless communication make it difficult to offer q uantifiable assurances of system operation and resilience.
This PhD position will be at Imperial College London in the c ontex t of the Intel ICRI on Sustainable Connected Cities (http://connected-cities.org/) and will focus on the security and resilience challenges of wireless sensor networks for infrastructure monitoring.
Areas of interest include but are no limited to:
- Measuring the health of the network from within itself
- Establishing confidence in the correct and secure operation of sensors and actuators.
- Ensuring data quality, provenance and trustworthiness
- Leveraging physical phenomena for key distribution and key management
- Providing assurances of system operation in the presence of compromise
Applicants should possess a good honours or MSc/MEng degree (Distinction or 1st Class minimum) in Computer Science, Electronic & Electrical, or Computer Systems Engineering or related disciplines. A proven knowledge and track record in one or more of the following areas would be beneficial:
- Security for wireless sensor networks, Embedded Systems and/or SCADA systems
- Cryptographic techniques for low powered sensors and embedded systems
- Anomaly detection and machine learning techniques
- Systems design and implementation for wireless sensor networks
Candidates will be expected to work in multidisciplinary teams, so an open attitude towards collaborative research and teamwork is important.
Fees are paid in full for UK/EU students plus a stipend of £15,500 tax free p.a. for this 3-year position.
Overseas students are eligible to apply but will need to demonstrate the ability to fund the difference in fees (that is £16,076 p.a for the academic year starting Oct 2013). No part-time option available.
Applications must include the following:
- An introduction letter summarising relevant experience and desired start date. (for Overseas students the letter must state how the applicant intends to cover the difference in fees)
- A research statement that describes a carefully argued proposed topic for research.
- A detailed CV
- Transcripts of degree results
Please email your application to Bridget Gundry bgundry@imperial.ac.uk with the subject title ‘Intel PhD studentship application.’ Informal enquiries are also welcome and should be sent to e.c.lupu@imperial.ac.uk
Applicants are advised to visit http://www3.imperial.ac.uk/computing/research/degrees for general information on becoming a PhD student in the Department of Computing.
Closing date: 8 May or until filled.
Marie Curie Early Stage Researcher
PhD Scholarship in Security and Privacy for Context-Aware Healthcare Systems (18 months only)
Salary in the range: £34,104 to £41,091 per annum including allowances
Fixed Term appointment until 31st December 2014
Starting date 1st July 2013 or earlier
This is a scholarship that provides funding to study for a PhD until December 2014. The successful candidate would need to be able to show that they are able to fund the remainder of the PhD study (typically a further 18 months). The scholarship is classified as an Early Stage Researcher post and is part of the EU Marie Curie ITN on Intelligent Context-Aware Systems for Healthcare, Wellness and Assisted Living (iCareNet). The goal of the network is to perform novel interdisciplinary and collaborative research on context-aware healthcare systems
uniting the efforts of leading academic, medical and industrial partners in Europe.
Topics of interest for the PhD include, but are not limited to: secure context-sensing and activity recognition, secure information flows and provenance for context-aware data, privacy policies and enforcement for context-aware systems. Candidates will be expected to demonstrate the applicability of their research in a healthcare, wellness or assisted living setting.
You will be part of the Distributed Software Engineering (DSE) Research Group under the supervision of Dr Naranker Dulay. For further information on the group see http://www-dse.doc.ic.ac.uk. The positions will be based at the South Kensington campus. All applicants must be fluent in English.
Eligibility:
- Applicants can be nationals of any country.
- Applicants must not have lived, worked or studied in the UK for more than 12 months in the 3 years immediately prior to recruitment. Short stays, such as holidays, are not taken into account. For full details on the eligibility and provisions for Early Stage Researcher please see:
ftp://ftp.cordis.europa.eu/pub/fp7/docs/fp7-mga-annex3intramulti_en.pdf - Applicants must ha v e a top Masters degree in Computer Science or a related discipline. A high level of mathematical and computing ability is required. Preference will be given to applicants with proven skills and experience in the relevant areas above and effective written and verbal communication skills.
Informal enquiries related to the position should be directed to Dr Naranker Dulay (n.dulay@imperial.ac.uk)
How to apply:
Our preferred method of application is online via our website:
http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number EN20130126TT into “Keywords”). Please complete and upload an application form as directed.
Applications must include:
- An application form quoting reference ND 0413
- A full CV
- A 2 page research statement indicating what you see are interesting research issues relating to the above positions and why your expertise is relevant. Applicants failing to submit a research statement will not be considered. Include a URL to any more detailed documentation that you would like considered.
For queries regarding the application process please contact Joanne Day at research.officer@doc.ic.ac.uk
Selection:
All shortlisted candidates will be given an opportunity to demonstrate their technical abilities through a remote presentation and interview.
Closing Date: 30th June 2013 or until position is filled
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