Los candidatos deben contar con potencial académico para fortalecer
tanto la docencia de pregrado, como el programa de Doctorado en
Matemática.
Requisitos:
Contar con Grado de Doctor con fecha anterior al 30 de noviembre de 2012.
Probada capacidad de investigación en Matemática, de preferencia en
alguna de las siguientes líneas: Análisis Numérico, Ecuaciones
Diferenciales, Estadística, Geometría Compleja, Optimización y Sistemas Dinámicos. Probada experiencia en docencia. Dominio de idioma español. Disponibilidad para asumir el cargo a partir del 1° de marzo de 2013.
Remuneración: De acuerdo a evaluación académica.
Postulaciones: Hasta 31 de octubre de 2012.
Antecedentes solicitados:
Currículum Vitae.
Dos cartas de recomendación.
Copia de certificados de títulos y grados.
Copia de publicaciones más relevantes.
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H.G.Wells
viernes, 7 de septiembre de 2012
PhD Grants in Statistical Methods for Economics and Business - Universita Roma Tre
Applications for a grant to attend the PhD programme in "*Statistical
Methods for Economics and Business*" at the Università Roma Tre
reserved for foreign students can be accessed at
http://europa.uniroma3.it/
Applications must be sent by the 6^th September 2012 exclusively by WEB at http://host.uniroma3.it/
Starting date of PhD programme: *1 January 2013*
Candidates will be interviewed on the *12th October 2012 at 10.00 a.m.*
http://europa.uniroma3.it/
Applications must be sent by the 6^th September 2012 exclusively by WEB at http://host.uniroma3.it/
Starting date of PhD programme: *1 January 2013*
Candidates will be interviewed on the *12th October 2012 at 10.00 a.m.*
Postdoctoral Fellowship in Hierarchical Multiscale Spatio-Temporal Statistical Modeling for High-Dimensional Official Statistics
As part of the NSF-Census Research Network (NCRN), University of
Missouri is engaged in a large-scale, federally funded research program
involving crosscutting research in official (survey) statistics and
dynamical systems.
As a result, the Spatio-Temporal Statistics Node at University of Missouri plans to appoint a postdoctoral fellow to be a key contributor to this research. The appointment will consist of a one-year contract with expectation of renewal for a second year. The position will remain open until filled and can start anytime.
The postdoctoral fellow will develop and implement innovative statistical methodologies intended to improve the analysis of high-dimensional spatio-temporal survey data. Research will mainly focus on development of broadly applicable methodologies in three related areas: (1) multiscale modeling of survey data, (2) spatio-temporal small area estimation, and (3)integrating information from multiple repeated surveys using hierarchical statistical models. The methodology will be applied to high-profile federaldatasets, including the American Community Survey, and be used to address a multitude of subject matter questions from social science and public policy.
As a result, the Spatio-Temporal Statistics Node at University of Missouri plans to appoint a postdoctoral fellow to be a key contributor to this research. The appointment will consist of a one-year contract with expectation of renewal for a second year. The position will remain open until filled and can start anytime.
The postdoctoral fellow will develop and implement innovative statistical methodologies intended to improve the analysis of high-dimensional spatio-temporal survey data. Research will mainly focus on development of broadly applicable methodologies in three related areas: (1) multiscale modeling of survey data, (2) spatio-temporal small area estimation, and (3)integrating information from multiple repeated surveys using hierarchical statistical models. The methodology will be applied to high-profile federaldatasets, including the American Community Survey, and be used to address a multitude of subject matter questions from social science and public policy.
Postdoctoral researcher in network analysis, University of Washington Dept. of Statistics
The Department of Statistics at the University of Washington is seeking
highly qualified candidates for a Postdoctoral Research Associate
position in the areas of Bayesian analysis, statistical machine learning
and analysis of complex social networks. The position will also be affiliated with the
Center for the Statistics and the Social Sciences at the University of
Washington and involve strong collaborations with faculty in the
Department of Biostatistics. This is a two-year position, subject to satisfactory performance and availability of funding.
The successful candidate should have completed a Ph.D. (or be on track to complete by January 2013) in statistics, computer science or related field and possess a strong record of research in machine learning, statistics, and/or social/complex networks, evidenced by high quality publications, as well as good communication and team work skills, and be able to lead research and develop ideas independently. Strong background in statistics/math and good programming skills are highly desirable.
Salary range to be determined based on qualifications.
To apply, please send CV, contact information (phone/email) for three references, a research statement, and 1-3 manuscripts to Dr. Tyler McCormick and Dr. Ali Shojaie ( ashojaie@uw.edu). For more information, please contact Dr. McCormick and Dr. Shojaie directly.
Application Deadline: Open until filled
The successful candidate should have completed a Ph.D. (or be on track to complete by January 2013) in statistics, computer science or related field and possess a strong record of research in machine learning, statistics, and/or social/complex networks, evidenced by high quality publications, as well as good communication and team work skills, and be able to lead research and develop ideas independently. Strong background in statistics/math and good programming skills are highly desirable.
Salary range to be determined based on qualifications.
To apply, please send CV, contact information (phone/email) for three references, a research statement, and 1-3 manuscripts to Dr. Tyler McCormick and Dr. Ali Shojaie ( ashojaie@uw.edu). For more information, please contact Dr. McCormick and Dr. Shojaie directly.
Application Deadline: Open until filled
UNSW Vice Chancellor Postdocs
This is to let you know that the University of New South Wales is
awarding Vice Chancellors Postdoc Research Fellowships as described
below and in more detail at http://research.unsw.edu.au/
The Econometrics and Statistics Group in the Economics School at the University of New South Wales, together with Dr Sally Wood from Melbourne Business School and Dr Gareth Peters from the Statistics Department at UNSW, is interested in potential candidates in the following areas.
1. The estimation of nonlinear structural econometric models using Bayesian models estimated by particle filtering, sequential Monte Carlo and ABC methods.
2. Multiperiod portfolio optimization problems using Bayesian models estimated by particle filtering, sequential Monte Carlo and ABC methods.
3. Simulation and calibration of multi-factor s.d.e models for stochastic finance and econometrics with no time discretization error via clock-based particle methods.
4. Flexible Models for longitudinal data.
5. Multivariate models including,
The Econometrics and Statistics Group in the Economics School at the University of New South Wales, together with Dr Sally Wood from Melbourne Business School and Dr Gareth Peters from the Statistics Department at UNSW, is interested in potential candidates in the following areas.
1. The estimation of nonlinear structural econometric models using Bayesian models estimated by particle filtering, sequential Monte Carlo and ABC methods.
2. Multiperiod portfolio optimization problems using Bayesian models estimated by particle filtering, sequential Monte Carlo and ABC methods.
3. Simulation and calibration of multi-factor s.d.e models for stochastic finance and econometrics with no time discretization error via clock-based particle methods.
4. Flexible Models for longitudinal data.
5. Multivariate models including,
Oferta becas predoctorales en la Universidad de Melbourne
El grupo de optimización de NICTA junto con la Universidad de Melbourne
(Australia) ofrece becas completas para estudiantes interesados en
realizar un doctorado en investigación fundamental y aplicada en
optimización, algoritmos, teoría de juegos y matemática discreta. El objetivo es
formular, analizar matemáticamente y resolver problemas en diferentes
áreas tales como los sistemas de energía inteligentes , la
administración de desastres naturales, redes, revenue management y logística. El grupo está
liderado por el renombrado profesor Pascal Van Hentenryck. Para más información los interesados pueden contactarme a la dirección g.berbeglia@mbs.edu. Es deseable que envíen adjunto su CV junto con sus notas.
Gerardo Berbeglia
MBS, University of Melbourne
NICTA
liderado por el renombrado profesor Pascal Van Hentenryck. Para más información los interesados pueden contactarme a la dirección g.berbeglia@mbs.edu. Es deseable que envíen adjunto su CV junto con sus notas.
Gerardo Berbeglia
MBS, University of Melbourne
NICTA
miércoles, 5 de septiembre de 2012
Research Position in Mathematics in Barcelona
The Information and Communication Technology department at
Universitat Pompeu Fabra in Barcelona, Spain, invites applications for a
research position in mathematics. This position is associated with the
ERC Starting Grant "Image processing for enhanced cinematography”, led
by Marcelo Bertalmío, http://www.dtic.upf.edu/~mbertalmio/, and which is described below.
Candidates should hold a Ph.D. in Mathematics, with at least 3 years of post-doctoral experience and a solid background in applied partial differential equations and calculus of variations, and be proficient in spoken and written English. Knowledge of image processing, optimization and numerical methods and programming would be very valuable.
Contact: please send application with CV, publication list, contact information of three references, and a summary of research accomplishments to Marcelo Bertalmío, marcelo DOT bertalmio AT upf DOT edu . We will start evaluating applications in early July and the position will be open until filled.
Universitat Pompeu Fabra (UPF, http://www.upf.edu/en/) is a public university located in Barcelona. It is the best Spanish university according to the London Times higher education index, 2011, and it's the number one Spanish university in number of ERC grants. The Information and Communication Technology department (ICT, http://www.upf.edu/dtic/en/) is the best in Computer Science in Spain, according to the Shanghai index 2009.
Candidates should hold a Ph.D. in Mathematics, with at least 3 years of post-doctoral experience and a solid background in applied partial differential equations and calculus of variations, and be proficient in spoken and written English. Knowledge of image processing, optimization and numerical methods and programming would be very valuable.
Contact: please send application with CV, publication list, contact information of three references, and a summary of research accomplishments to Marcelo Bertalmío, marcelo DOT bertalmio AT upf DOT edu . We will start evaluating applications in early July and the position will be open until filled.
Universitat Pompeu Fabra (UPF, http://www.upf.edu/en/) is a public university located in Barcelona. It is the best Spanish university according to the London Times higher education index, 2011, and it's the number one Spanish university in number of ERC grants. The Information and Communication Technology department (ICT, http://www.upf.edu/dtic/en/) is the best in Computer Science in Spain, according to the Shanghai index 2009.
Curso online gratuito "Health in Numbers: Quantitative Methods in Clinical & Public Health Research"
About this course
Principled investigations to monitor and thus improve the health of individuals are firmly based on a sound understanding of modern quantitative methods. This involves the ability to discover patterns and extract knowledge from health data on a sample of individuals and then to infer, with measured uncertainty, the unobserved population characteristics. This course will address this need by covering the principles of biostatistics and epidemiology used for public health and clinical research. These include outcomes measurement, measures of associations between outcomes and their determinants, study design options, bias and confounding, probability and diagnostic tests, confidence intervals and hypothesis testing, power and sample size determinations, life tables and survival methods, regression methods (both, linear and logistic), and sample survey techniques. Students will analyze sample data sets to acquire knowledge of appropriate computer software. By the end of the course the successful student should have attained a sound understanding of these methods and a solid foundation for further study.
Prerequisites
Students should have a sound grasp of algebra.CURSO DE NETWORK METANALYSIS
Metodología: Curso teórico-práctico en aula informática utilizando Stata 12
Docentes:
Aurelio Tobias
Instituto de Diagóstico Ambiental y Estudios del Agua (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona.
Ferrán Catalá-López
Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Madrid.
Centro Superior de Investigación en Salud Pública (CSISP), Valencia.
Aurelio Tobias
Instituto de Diagóstico Ambiental y Estudios del Agua (IDAEA), Consejo Superior de Investigaciones Científicas (CSIC), Barcelona.
Ferrán Catalá-López
Agencia Española de Medicamentos y Productos Sanitarios (AEMPS), Madrid.
Centro Superior de Investigación en Salud Pública (CSISP), Valencia.
Programa:
1. Introducción a los conceptos básicos de síntesis de evidencia
2. Meta-análisis para comparaciones directas
- Modelos de efectos fijos y aleatorios
- Meta-análisis por subgrupos
- Meta-regresión.
3. Meta-análisis en red (network meta-analysis):
- Comparaciones directas, indirectas y mixtas
- Meta-regresión multivariante
- Transitividad y consistencia
- Presentación de resultados
1. Introducción a los conceptos básicos de síntesis de evidencia
2. Meta-análisis para comparaciones directas
- Modelos de efectos fijos y aleatorios
- Meta-análisis por subgrupos
- Meta-regresión.
3. Meta-análisis en red (network meta-analysis):
- Comparaciones directas, indirectas y mixtas
- Meta-regresión multivariante
- Transitividad y consistencia
- Presentación de resultados
Fechas: 13 y 14 de Diciembre de 2012
Duración: 16h
Plazas limitadas
Localización: Hospital de la Santa Creu i Sant Pau, Barcelona
Organizado por: Centro Cochrane Iberoamericano (IIB Sant Pau)
Información e inscripciones: Maroussia Tzanova, maroussia@cochrane.es
Matrícula: 170€
Periodo de inscripción: a partir del 12 de Noviembre de 2012
Más información en : http://www.cochrane.es/cursonetworkmetanalysis
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