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Wednesday, March 26, 2008

UK: Imperial College London PhD Studentship

Large-Scale Distributed Systems

Department of Computing


Untaxed bursary of £13,200 per annum plus UK/EU fees
Fixed Term for 3 years, starting in October 2008

Imperial College is ranked the fifth best university in the world (Times Higher QS World University Rankings 2007)

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.

We have a PhD studentship starting in October 2008 to work on topics at the intersection of large-scale distributed systems and database research. The position is for three years, and covers fees and a tax-free bursary with London weighting. An ideal candidate will have research interests in the following areas:

  • Internet-scale distributed systems
  • Overlay networks, peer-to-peer computing and wide-area networking
  • Distributed stream processing
  • Large-scale data management and distributed databases

The PhD studentship, under the supervision of Dr Peter Pietzuch, will be part of the DISSP project on dependable Internet-scale stream processing. The aim of the project is to investigate new approaches for reliably processing stream data from thousands of sensor networks at a global scale. In addition to the completion of a PhD thesis, you will be expected to produce research publications and design, build, deploy and experiment with large-scale distributed software prototypes. For further information on the DISSP project, see http://www.doc.ic.ac.uk/~prp/research/dissp.

You will be part of the Distributed Software Engineering (DSE) Research Group within the Department and based at the South Kensington campus. For further information on the group and related projects, see http://www-dse.doc.ic.ac.uk. Informal queries can be directed to: Dr Peter Pietzuch (prp@doc.ic.ac.uk).

All applicants should have at least a distinction or first in a Masters level degree (or equivalent) in Computer Science. Previous experience in large-scale distributed systems, peer-to-peer computing or stream processing would be advantageous. Applicants must be fluent in spoken and written English. See http://www3.imperial.ac.uk/computing/research/degrees for further information on the PhD degree.

Applications must include the following:

  • A detailed CV that includes names and addresses of three referees.
  • A 2-3 page research statement with a compelling description of the research that you would like to do and any relevant experience that you have.
  • Transcripts of all degree results.

Applications should be sent to:

Bridget Gundry
Department of Computing
Imperial College London
South Kensington Campus
London, SW7 2AZ
Email: bridget.gundry@imperial.ac.uk Fax: +44 (0) 20 7581 8024

Closing Date: 30th April 2008

Imperial College London values diversity and is committed to equality of opportunity

Wales: Aberystwyth University MSc in Managing the Environment 2008 - 2009

Institute of Biological Sciences

Further Details

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Tuesday, March 25, 2008

UK: University of Huddersfield hD Studentships (four posts)

Department of Chemical and Biological Sciences

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UK: The University of Sheffield 2 PhD Positions School of Medicine & Biomedical Sciences, Section of Cardiovascular Sciences

Academic Unit of Medical Physics

Summary

The Academic Unit of Medical Physics seeks to recruit two PhD students. A stipend equivalent to that of an EPSRC Engineering Doctorate programme, currently £14,400 per annum, will be paid. Fees will be paid at the home/EU fee rate from University Fee Scholarship. The duration of each appointment will be 42 months, commencing on 1 July 2008. Closing date for applications is 7 April 2008. The PhD students will work in the Unit, located in the Royal Hallamshire Hospital in Sheffield.

About the project

These PhD studentships will be part of a major new programme of work that will develop new computational tools to address a series of important clinical problems in the cardiovascular sector, including heart failure, cardiac rhythm disorder, coronary artery disease and valvular and aortic disease. Developments in the project will support improved diagnosis and disease characterisation, treatment development and treatment planning. The project consortium consists of a well balanced mix of internationally-leading academic, clinical and industrial partners with primary expertise in biophysical modelling, imaging and clinical application.

About the studentships

One student will work in the development, implementation and testing of algorithms for registration of medical images under mathematical constraints associated with the physical processes. The primary target application is the personalisation of models of the aorta in health and disease. One student will work on the definition, integration and application of models associated with the performance of a left ventricular assist device. Both students will work under the supervision of Dr Rod Hose, Dr Pat Lawford and Professor David Barber, as part of a team that will also include a post-doctoral researcher. There will be significant requirement for travel for liaison with academic and industrial partners in several European countries.

Requirements

Applicants should have, or expect to obtain this summer, a good degree (first or upper second class honours or equivalent) in mathematics, physics or engineering. Especially for the first position, a strong mathematical ability is required. Good programming and problem solving skills will be required for both positions, as will the ability to work effectively in and with a small team of researchers. The appointees will be expected to produce academic papers for publication in the peer-reviewed literature, as well as regular formal reports on project progress. Some exposure to the medical or clinical field, particularly in the context of image processing or of medical devices, would be an advantage.

Further Information

For further information please contact Dr Rod Hose (d.r.hose@sheffield.ac.uk) or Dr Pat Lawford (p.lawford@sheffield.ac.uk ).

How to Apply

Please complete a University Postgraduate Research Application form and provide references. To download the application form please visit: www.shef.ac.uk/postgraduate/research/apply/pgrform.html.

Please clearly state ‘Medicine' and the prospective supervisor in the respective boxes.

Deadline for applications: 7th April 2008

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UK: The University of Manchester Engineering Doctorate (EngD) in Engineering for Manufacture

Do you aspire to be one of the UK's leading research engineers?

Do you want a managerial career in industry?

"The EngD is a radical alternative to the traditional PhD . . . a more vocationally oriented doctorate in engineering." (EPSRC)

The Engineering Doctorate is a four year doctoral level collaborative project led by an academic supervisor and an industrial company. The project is defined by the company and academic together and addresses a key problem/opportunity for the business. Unlike a conventional PhD, the researcher receives integrated training in Management subjects and undertakes a comprehensive professional/personal skills development programme

EngD Studentships for October 2008 or January 2009 start are available with:

Arvia Technology Ltd Bridgnorth Aluminium Ltd

Corus Group plc Croda Chemicals Europe Ltd

CVD Technologies Ltd Easipoint Marketing Ltd

Iggesund Paperboard Ltd Renold plc

Rolls-Royce plc Syngenta Ltd

An EngD studentship offers:

● Tax-free stipend of approx £18K per annum for four years

● Industry-based research project at a leading research university

● Management Diploma

● Comprehensive professional development programme

● IET and IMechE accreditation

For more details about the project available and the application procedure please see the EngD Website: http://www.engd.manchester.ac.uk/

(follow ‘EngD in Engineering for Manufacture' link)

Or contact: Dr David Stanley, Manchester EngD Centre,

Tel 0161 306 4161, E-mail engd.centre@manchester.ac.uk

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UKL: University of Liverpool PhD Studentship

Physics Department, Clatterbridge Centre for Oncology and

Division of Medical Imaging & Radiotherapy, Faculty of Medicine

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UK: PhD Studentship in the Business School Oxford Brookes University

Evaluation of leadership development programmes

Business School

Further Details

Monday, March 24, 2008

UK: PhD in Quantitative Social Science, University of Manchester

PhD in Quantitative Social Science
Graduate Programme in Social Research Methods and Statistics
Centre for Census and Survey Research (CCSR)

SEVEN fully funded PhD studentships commencing September 2008

CCSR is a multi-disciplinary research centre in the School of Social Sciences, specialising in the development and application of quantitative research methods.

The prestigious Economic and Social Research Council (ESRC) awards are available to UK and EU citizens and pay for fees, a £750 annual research training support grant and (for UK residents) an annual stipend of up to £15,300. Applicants can apply for either a 1+3 award (four years covering linked Masters and PhDs) or a + 3 award (three years with direct entry to PhD research). Two university-funded studentships are also open to overseas students.

What topic?
We welcome applications in a wide range of topic areas relating to our research themes which include:

  • Pure and applied social statistics and research methods
  • Social networks
  • Demographic and social change
  • Elections, political parties and political behaviour
  • Relationships and relationship structures
  • Work and employment
  • Confidentiality, privacy and disclosure

How to Apply
For full details on the studentships and information on how to apply visit our website: http://www.ccsr.ac.uk/

or contact the School Postgraduate Administrator:

Victoria Barnes
Email: vicky.barnes[ at ]manchester.ac.uk, Tel: 0161-275 4743

The deadline for receiving applications is 1st April 2008.

The Netherlands: PhD Student Position in Computer Science, University of Groningen

PhD student position in Computer Science - Intelligent Systems - Biologically motivated object recognition

Institute of Mathematics and Computing Science, University of Groningen

Topic of research
The objective of the project is to develop an object recognition technique that is motivated by the function of the visual cortex. Major aspects are representation and learning.

Type and level of the position
This is a temporary research position at the level of a PhD student for a period of maximum four years. The tuition fees will be waived and the student will receive a full scholarship. In this period the student will follow relevant courses and prepare and defend a PhD thesis. The position is embedded in the research group Intelligent Systems. The tradition of the group is that PhD theses are based on excellent papers in high imact journals so that our PhD graduates have a very strong competative position on the academic market. Thesis director and supervisor will be professor N. Petkov. The University of Groningen is a leading European research university.

Our requirements on your qualifications
You are a university graduate (at the level of diploma or master of science level) in one of the following disciplines: computer science, artificial intelligence, computational neuroscience, electrical engineering, biophysics, physics. You have a demonstrated interest in the neurosciences. You have an excellent academic record (GPA) and belong to the top 5% of the graduates of your year and preferrably have a graduation with a distinction such as honors or cum laude. You are fluent in English language and able to write scientific articles and reports (to be proven by your graduation thesis or another comparable report or co-authorship of published scientific articles).

How to apply
Send the following information:

  1. an application letter with a CV,
  2. a specification of GPA and transcript of records,
  3. an indication of your position in the class and year (e.g. 1st in a class of 20),
  4. evidence of excellence (e.g. graduation with honors) and a list of relevant awards,
  5. proofs of involvement in research (e.g. co-authorship of scientific articles),
  6. a description of your ideas for research in the specified area,
  7. names and email addresses of three scientists (typically your former professors) who can give a reference for you.

to prof.dr. Nicolai Petkov (petkov[ at ]cs.rug.nl). Applicants will be asked to do a short assignment in order to demonstrate their research abilities. The position will be open until a suitable candidate is found.

Via: official announcement

Hong Kong: PhD Studentship in Computational Chemistry, Molecular Clusters and Climate, the University of Hong Kong

A fully funded PhD position is available immediately in the field of computational chemistry, more specifically in the field of atmospheric water clusters, here in the Department of Earth Sciences at the University of Hong Kong.

The work is in the field of computational chemistry and deals with cluster structure and stability as well as coupling between atmospheric cluster distribution and climatic impact. The project will involve modeling energetic and spectroscopic properties of molecular clusters such as, for instance, neutral and ionic water clusters, as well as select metal/water clusters, at ambient and extreme conditions. Several different methodologies will be applied including 1) density functional theory, 2) ab initio methods and 3) time dependent density functional type calculations. All computations will be performed on HPC clusters at the University of Hong Kong.

Successful applicants will join a dynamic, research-oriented department with strong collaborative links to the Physics, Chemistry and other natural science departments as well as to high-performance supercomputing facilities on campus. Applicants should hold a B.Sc. degree (or equivalent) in Geochemistry, Chemistry, Chemical Engineering, or a related discipline and should be highly motivated to perform fundamental simulation and modeling studies.

Further details may be obtained from Dr. Kono Lemke, Department of Earth Sciences, Pokfulam Road, University of Hong Kong, Hong Kong, (Tel +852 2241 5474, Fax +852 2517 6912), email: kono[ at ]hku.hk or kono[ at ]hkucc.hku.hk to whom a letter of application, a cv and details of three referees should be sent.