Monday, July 14, 2008

Opportunity for research training for young researchers &PG fellowships

Opportunity for Training for Youth:
The IMPRSD winter program 2008-09 at the MPI for Demographic Research in Rostock includes advanced courses on Event History Analysis, Applications of Optimization Theory, Spatial Demography, Demographic Methods of Public Health Research, Fertility Analysis and Modeling, and other topics. Full or partial funding is available to cover travel costs and living expenses. The application deadline for the winter program 2008-09 is 10 August 2008. Please see for more information about the courses and application instructions.
For further information, contact: Heiner Maier Dean, International Max Planck Research School for Demography Max Planck Institute for Demographic Research Konrad-Zuse-Str. 1, 18057 Rostock, Germany Tel.: +49-381-2081-152 Fax: +49-381-2081-452
Post-Graduate Fellowship at the Institute for Health Metrics and Evaluation Call for applications:
For more information, please contact us by email at: or visit
The Institute for Health Metrics and Evaluation (IHME) at the University of Washington is accepting applications for the winter 2009 cohort of the Post-Graduate Fellowship program.
The vision of IHME is to make available high-quality information on population health, its determinants, and the performance of health systems for all countries. We seek to achieve this directly, by catalyzing the work of others and by training researchers and policy makers. Our goal is to improve the health of the world’s populations by providing the best information.
Post-Graduate Fellows will contribute directly to the overall research agenda of IHME and will be involved in all aspects of projects including analyzing and synthesizing existing data, catalyzing new data collection, building statistical models and validating new analytical methods, interpreting of findings, and reporting and disseminating results. Post-Graduate Fellows will be involved in research in one of five key areas of work: health outcomes, health services, resource inputs, evaluations and decision analytics.
Health outcomes:
Estimation of child mortality levels for each country since 1970, forecasted 10 years into the future and updated every six months.
Development and testing of new methods for estimating adult mortality and estimation of levels for each country.
Assessment of major causes of death for each country every three years.
Development of cross-country comparable methods for the estimation of healthy life expectancy, including methods to arrive at valuations of health states.
Estimation of the global burden of disease for 1990 and 2005.
Health services:
Measurement of the effective coverage of the twenty most important health-improving technologies by country every year, with the selection of priority interventions varying by regional epidemiology.
Estimation of the quality of inpatient and outpatient care, including the development and refinement of standardized methods for undertaking risk-adjusted outcomes measurement.
Resource inputs:
Annual assessment from 1990 to 2006 of resource flows for global health, including an estimation of the gap between commitment and disbursement.
Systematic review of the quality of available data on public expenditures on health.
Estimation of household health expenditures and proportion of households that incur catastrophic health payments.
Landscape analysis of sources of data and methods for tracking human resources for health.
Decision Analytics:
Measurement of the costs and benefits of health interventions, service delivery platforms and research and development in order to guide resource allocation decisions.
Development of statistical models for missing data, internally consistent epidemiological parameter estimation and forecasting.
Measurement of within- and across-country inequalities in coverage, health outcomes and health expenditures.
Development of methods for local area estimation of health outcomes and coverage.
Assessment of statistical methods for analyzing program effectiveness in non-randomized settings.
Development of guidelines for prospective impact evaluation.
Impact evaluation of global health initiatives and strategies.
Assessment of the performance of national health systems for countries with sufficient data.
Evaluations of selected national health system reforms.
Post-Graduate Fellowships are appointed at IHME for one year with the possibility of renewal for a second year upon mutual agreement. The salary is $50,000 during the first year and subject to a UW merit driven increase during the second year. As a UW-paid employee you are eligible for an insurance benefits package that includes a choice among several medical and dental insurance plans, life insurance, and long-term disability. Please note that there is no retirement package included with this appointment.
The winter cohort begins on February 1 of each year.
In order to be considered for a Post-Graduate Fellowship, candidates must have the following:
MD or PhD in the fields of quantitative methodology, statistics, health economics, health policy, demography, epidemiology, biostatistics, health services or other related field. Candidates with an MSc/MPH degree and at least three years of related research experience will also be considered.
Strong quantitative background.
Research experience, especially with data analysis and statistical methods.
Proficiency in the English language.
When and how to apply: Applications must be received by September 1, 2008. Interviews with selected applicants will occur in September. Candidates will be notified in October and will begin the fellowship on February 1, 2009. All application materials must be received at IHME by the deadlines stated.
For more information, please contact us by email at: or visit -
Complete applications should be mailed to: Institute for Health Metrics and Evaluation ,Attention: Post-Graduate Fellowship Program ,2301 5 th Avenue, Suite 600 ,Seattle, WA 98121 ,USA


At January 4, 2017 at 5:27 PM , Blogger Abni said...

interesting blog. It would be great if you can provide more details about it. Thanks you

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