Overview
The objective of this 3-year PhD studentship is to exploit Bayesian machine learning methods in order to understand the determinants of asthmas and allergies from childhood. The project will attract an annual tax-free stipend of £13, 490 as well as providing full coverage of international tuition fees. Due to commence October 2010, the project is open to non-EU nationals only who meet the requirements* for Dorothy Hodgkin Postgraduate Award (DHPA) funding.
This interdisciplinary project will use Bayesian machine learning methods, based on probabilistic graphical models, in the quest to understand the causes of asthma and allergies from childhood. This will include a study of the interactions between genetic and environmental factors.
Structured Bayesian models will be built and solved using the Infer.NET library created at Microsoft Research Cambridge, and evaluated alongside conventional biostatistical methods, such as multi-level models. The ultimate goal of the project is to identify realistically-complex causal networks of genetic and environmental factors responsible for asthma and allergies that develop in childhood.
The project will enhance an emerging collaboration between the Northwest Institute for Bio-Health Informatics (NIBHI) at the University of Manchester, and Microsoft Research Cambridge. It will exploit genomic data collected under the Microsoft Shared Genomics project, and the successful candidate would receive training at both sites
The study would suit a highly numerate individual from a non-clinical background with the ability to apply themselves to complex clinical problems through mathematical modelling. The successful candidate will develop expertise in biostatistics, Bayesian inference, statistical software engineering and health systems modelling.
Upon completion, progression into post-doctoral research posts in health services research, biostatistics, health informatics or epidemiology would be anticipated.
Eligible Candidates
Applicants should hold, or expect to obtain, the equivalent of a first-class degree in statistics, mathematics, physics, computer science or health-related science (with a strong quantitative component). A Masters qualification in a similar area would be beneficial. Aptitude for computational thinking and basic software engineering skills are desirable attributes.
How to apply
Please direct applications in the following format to the project lead, Professor Iain Buchan (buchan@manchester.ac.uk):
• CV
• Official academic degree transcripts (English translation).
• Contact details for two academic or professional referees.
• A personal statement (750 words maximum) outlining your suitability for the study,
what you hope to achieve from the PhD and your research experience to date.
Any enquiries relating to the project and/or suitability should be directed to Professor Buchan at the address above. Applications are invited up to and including Friday 7 May 2010.
https://www.nibhi.org.uk/default.aspx
* DHPA scholars must be nationals of India, China, Hong Kong, South Africa, Brazil, Russia or the developing world, as defined by the Development Assistance Committee of the OECD. For a full list of eligible countries please go to the OECD website:
http://www.rcuk.ac.uk/hodgkin/eligibility.htm
Please kindly mention Scholarization.blogspot.com when applying for this scholarship
The objective of this 3-year PhD studentship is to exploit Bayesian machine learning methods in order to understand the determinants of asthmas and allergies from childhood. The project will attract an annual tax-free stipend of £13, 490 as well as providing full coverage of international tuition fees. Due to commence October 2010, the project is open to non-EU nationals only who meet the requirements* for Dorothy Hodgkin Postgraduate Award (DHPA) funding.
This interdisciplinary project will use Bayesian machine learning methods, based on probabilistic graphical models, in the quest to understand the causes of asthma and allergies from childhood. This will include a study of the interactions between genetic and environmental factors.
Structured Bayesian models will be built and solved using the Infer.NET library created at Microsoft Research Cambridge, and evaluated alongside conventional biostatistical methods, such as multi-level models. The ultimate goal of the project is to identify realistically-complex causal networks of genetic and environmental factors responsible for asthma and allergies that develop in childhood.
The project will enhance an emerging collaboration between the Northwest Institute for Bio-Health Informatics (NIBHI) at the University of Manchester, and Microsoft Research Cambridge. It will exploit genomic data collected under the Microsoft Shared Genomics project, and the successful candidate would receive training at both sites
The study would suit a highly numerate individual from a non-clinical background with the ability to apply themselves to complex clinical problems through mathematical modelling. The successful candidate will develop expertise in biostatistics, Bayesian inference, statistical software engineering and health systems modelling.
Upon completion, progression into post-doctoral research posts in health services research, biostatistics, health informatics or epidemiology would be anticipated.
Eligible Candidates
Applicants should hold, or expect to obtain, the equivalent of a first-class degree in statistics, mathematics, physics, computer science or health-related science (with a strong quantitative component). A Masters qualification in a similar area would be beneficial. Aptitude for computational thinking and basic software engineering skills are desirable attributes.
How to apply
Please direct applications in the following format to the project lead, Professor Iain Buchan (buchan@manchester.ac.uk):
• CV
• Official academic degree transcripts (English translation).
• Contact details for two academic or professional referees.
• A personal statement (750 words maximum) outlining your suitability for the study,
what you hope to achieve from the PhD and your research experience to date.
Any enquiries relating to the project and/or suitability should be directed to Professor Buchan at the address above. Applications are invited up to and including Friday 7 May 2010.
https://www.nibhi.org.uk/default.aspx
* DHPA scholars must be nationals of India, China, Hong Kong, South Africa, Brazil, Russia or the developing world, as defined by the Development Assistance Committee of the OECD. For a full list of eligible countries please go to the OECD website:
http://www.rcuk.ac.uk/hodgkin/eligibility.htm
Please kindly mention Scholarization.blogspot.com when applying for this scholarship
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