The McCombs School of Business jointly with the Division of Statistics
and Scientific Computation (SSC) at the University of Texas at Austin
invites applications for an Assistant Professor Statistics faculty appointment to begin Fall 2013.
The successful candidate will be appointed in the Information, Risk and
Operations Management (IROM) department in the Business School and will
be expected to teach undergraduate and graduate statistics courses, supervise graduate
students, collaborate with other faculty, and be involved in service to
the university and the profession. Teaching and service duties are equally divided between IROM and SSC.
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H.G.Wells
lunes, 8 de octubre de 2012
martes, 2 de octubre de 2012
Ya tenemos aquí nueva versión de R 2.15.2
Details of current changes can be found at
http://stat.ethz.ch/R-manual/
(scroll past the R-devel stuff and look at 2.15.1 patched.)
http://stat.ethz.ch/R-manual/
(scroll past the R-devel stuff and look at 2.15.1 patched.)
lunes, 1 de octubre de 2012
Especialista en Estadística Económica en el Banco de España
DESCRIPCIÓN DEL PUESTO DE TRABAJO
La convocatoria pretende la selección de un especialista en estadística económica, que desempeñará los cometidos propios de un empleado del nivel 9 del Grupo directivo dentro del Departamento de Estadística. Dicho Departamento elabora y publica las estadísticas relacionadas con las funciones que la Ley de Autonomía encomienda al Banco de España, y asiste al Banco Central Europeo y a la Comisión Europea en la recopilación de la información estadística necesaria para el cumplimiento de sus funciones.
Las áreas de trabajo correspondientes a la convocatoria están relacionadas con la elaboración y la difusión de las estadísticas exteriores, principalmente la Balanza de Pagos y la Posición de Inversión Internacional.
Sin ánimo exhaustivo, el ámbito de las tareas que llevarán a cabo quienes opten a la plaza convocada abarcará:
La convocatoria pretende la selección de un especialista en estadística económica, que desempeñará los cometidos propios de un empleado del nivel 9 del Grupo directivo dentro del Departamento de Estadística. Dicho Departamento elabora y publica las estadísticas relacionadas con las funciones que la Ley de Autonomía encomienda al Banco de España, y asiste al Banco Central Europeo y a la Comisión Europea en la recopilación de la información estadística necesaria para el cumplimiento de sus funciones.
Las áreas de trabajo correspondientes a la convocatoria están relacionadas con la elaboración y la difusión de las estadísticas exteriores, principalmente la Balanza de Pagos y la Posición de Inversión Internacional.
Sin ánimo exhaustivo, el ámbito de las tareas que llevarán a cabo quienes opten a la plaza convocada abarcará:
- La elaboración de proyectos para la ampliación o modificación de las fuentes de información utilizadas en la elaboración o en el control de calidad de las estadísticas exteriores. Estos proyectos requieren la colaboración con otras divisiones del Departamento de Estadística, con otros departamentos del Banco y con otras instituciones;
- El diseño y el mantenimiento de los procesos de elaboración de las estadísticas, en sus distintos formatos y periodicidades, aplicando los cambios que se produzcan en la metodología, en los requisitos de información y en los estándares internacionales establecidos para las estadísticas exteriores;
- El diseño, aplicación y actualización de los controles de calidad necesarios sobre las fuentes de información y sobre las estadísticas finales; la colaboración con los organismos internacionales en el intercambio de estos controles y en la explicación de sus resultados; la colaboración con los compiladores de otras estadísticas macroeconómicas para asegurar su coherencia con las estadísticas exteriores;
- La contribución a la continua mejora en la difusión de las estadísticas y de su metodología, tanto en el ámbito nacional como en el internacional;
- El diseño y el mantenimiento, en colaboración con el personal informático, de bases de datos relacionales complejas y la contribución a la formación del personal estadístico en su utilización;
- La coordinación de equipos y de trabajos comprendidos en proyectos amplios que incorporan cambios en las fuentes de información, en la metodología seguida en la compilación de las estadísticas, en los controles de calidad que se han de aplicar y en la difusión de datos; incluye la participación en este sentido en la formación del personal.
Analista estadístico Madrid
|
Funciones:
-Elaboración de estudios estadísticos
-Análisis de campañas de marketing
-Identificación de tendencias
|
Estadístico en Madrid
TFS
is the biggest non-listed European CRO and has employees worldwide. We
offer an attractive package including a competitive salary, a complete
training plan through our TFS Academy, an attractive package of social
benefits including free health insurance and challenging career
development opportunities.
Perfil de los candidatos/as:
- Diplomados/as en Estadística o graduados/as en Estadística Aplicada
Statistics Manager in German
Statistics Manager, working for a global CRO.
You will be office based in Germany managing project teams.
Duties
• Management of statistics group and processing of clinical projects reporting.
• Management of Statistical and SAS staff.
• Regulatory submissions processing.
• Results interpretations and processing
• Input on project design and result processing according to ICH guidelines
Duties
• Management of statistics group and processing of clinical projects reporting.
• Management of Statistical and SAS staff.
• Regulatory submissions processing.
• Results interpretations and processing
• Input on project design and result processing according to ICH guidelines
Postdoctoral fellowship in ecological Statistics in California
Postdoctoral fellowship in ecological statistics at the University of Notre Dame/University of California, Berkeley
A postdoctoral fellowship in statistical methods applied to paleoecological problems is available based either at the University of Notre Dame or at the University of California, Berkeley. The position is part of NSF-funded PalEON, a PaleoEcological Observatory Network to Assess Terrestrial Ecosystem Models, and is associated with Notre Dame's Environmental Change Initiative (ND-ECI). PALEON is an initiative to statistically estimate changes in forest composition in the northeastern U.S. over the past 2000 yearsusing paleoecological data and to assimilate these estimates into ecosystem models. The postdoctoral fellow will lead the development of statistical models, based on spatial statistics, state space, and data assimilation methods, for the initiative, interacting with statisticians, paleoecologists, paleoclimatologists, and ecosystem modelers. The fellow will work with Dr. Christopher Paciorek at UC Berkeley and Dr. Jason McLachlan at Notre Dame, with extensive interaction with other PALEON team members. Specific modeling challenges may include spatio-temporal modeling of paleoecological data, state-space modeling informed by
ecological models, modeling uncertainty in radiocarbon dating, and spatial modeling of vegetation based on colonial settlement-era historical records.
A postdoctoral fellowship in statistical methods applied to paleoecological problems is available based either at the University of Notre Dame or at the University of California, Berkeley. The position is part of NSF-funded PalEON, a PaleoEcological Observatory Network to Assess Terrestrial Ecosystem Models, and is associated with Notre Dame's Environmental Change Initiative (ND-ECI). PALEON is an initiative to statistically estimate changes in forest composition in the northeastern U.S. over the past 2000 yearsusing paleoecological data and to assimilate these estimates into ecosystem models. The postdoctoral fellow will lead the development of statistical models, based on spatial statistics, state space, and data assimilation methods, for the initiative, interacting with statisticians, paleoecologists, paleoclimatologists, and ecosystem modelers. The fellow will work with Dr. Christopher Paciorek at UC Berkeley and Dr. Jason McLachlan at Notre Dame, with extensive interaction with other PALEON team members. Specific modeling challenges may include spatio-temporal modeling of paleoecological data, state-space modeling informed by
ecological models, modeling uncertainty in radiocarbon dating, and spatial modeling of vegetation based on colonial settlement-era historical records.
Phd fellowship Optimization methods in a stochastic production environment in Denmark
Optimization methods in a stochastic production environment. Department of Economics and Business, Business and Social Sciences,
Aarhus University, Denmark is offering a PhD fellowship commencing 1st
January 2013 or soon thereafter. The application deadline is 15th October 2012.
Postdoc Positions in Computational Inference, Univ of Otago (NZ)
We are seeking at least two Postdoctoral Research Fellows in
- Computational Inference (MCMC) for Inverse Problems
- Sequential Inference applied to Agritech Sensors
The first project will adapt algorithms from CSE to perform sample-based Bayesian inference (MCMC) in high-dimensional inverse problems. This position would suit a person with strong background in scientific computation or numerical analysis, particularly computational linear algebra and optimization, and would like to apply these ideas in a probabilistic setting to perform uncertainty quantification. Full-time for two years, plus one further year subject to review.
The second project will develop algorithms for sequential inference on dynamical systems that will ultimately be embedded in agritech sensors. This position would suit a person with a strong background in Bayesian statistics, particularly sequential inference, and would like to see these ideas put to practical use -- such as weighing cows.
Full-time for three years, plus two further years subject to review.
For expressions of interest or further information, contact Colin Fox fox@physics.otago.ac.
These positions are open until filled. We expect appointments will be made by February 2013. http://elec.otago.ac.nz/w/
- Computational Inference (MCMC) for Inverse Problems
- Sequential Inference applied to Agritech Sensors
The first project will adapt algorithms from CSE to perform sample-based Bayesian inference (MCMC) in high-dimensional inverse problems. This position would suit a person with strong background in scientific computation or numerical analysis, particularly computational linear algebra and optimization, and would like to apply these ideas in a probabilistic setting to perform uncertainty quantification. Full-time for two years, plus one further year subject to review.
The second project will develop algorithms for sequential inference on dynamical systems that will ultimately be embedded in agritech sensors. This position would suit a person with a strong background in Bayesian statistics, particularly sequential inference, and would like to see these ideas put to practical use -- such as weighing cows.
Full-time for three years, plus two further years subject to review.
For expressions of interest or further information, contact Colin Fox fox@physics.otago.ac.
These positions are open until filled. We expect appointments will be made by February 2013. http://elec.otago.ac.nz/w/
Postdoctoral Associate in the Five Colleges
Postdoctoral Associate in statistics at the Five-College consortium
(Amherst, Hampshire, Mount Holyoke, and Smith Colleges and the
University of Massachusetts Amherst). Duties include teaching one
course per semester at the liberal arts colleges, research at UMass, and consulting throughout the
Five Colleges. Three years. Ideal for a new PhD to explore careers in
large and small academic institutions. A PhD in Statistics or a related
field and experience with applied statistics are required.
Submit applications at http://www.mathjobs.org (strongly preferred).
Applicants should provide a curriculum vitae, evidence of strength in teaching and research, and arrange for three letters of recommendation. Paper applications can be mailed to Mathematics & Statistics, 1623E Lederle Graduate Research Tower, University of Massachusetts, 710 North Pleasant Street, Amherst, MA 01003, Attn: Kim Stone. For additional information please contact Michael Lavine (lavine@math.umass.edu).
Funded, in part, by NSF. Review of applications begins on December 3 of 2012 and continues until position is filled. UMass Amherst is an Affirmative Action/Equal Opportunity Employer. Women and members of minority groups are encouraged to apply.
Submit applications at http://www.mathjobs.org (strongly preferred).
Applicants should provide a curriculum vitae, evidence of strength in teaching and research, and arrange for three letters of recommendation. Paper applications can be mailed to Mathematics & Statistics, 1623E Lederle Graduate Research Tower, University of Massachusetts, 710 North Pleasant Street, Amherst, MA 01003, Attn: Kim Stone. For additional information please contact Michael Lavine (lavine@math.umass.edu).
Funded, in part, by NSF. Review of applications begins on December 3 of 2012 and continues until position is filled. UMass Amherst is an Affirmative Action/Equal Opportunity Employer. Women and members of minority groups are encouraged to apply.
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