Presentación
La
estadística es una disciplina científica joven: la mayor parte de los
conceptos básicos de los que se ocupan los libros de texto tienen apenas
100 años.
Sin
embargo, pese a su juventud, hay quienes piensan que nació demasiado
pronto. Algunos estadísticos modernos, de hecho, se han planteado la
siguiente pregunta: ¿cómo sería la estadística si hubiese nacido después
de los ordenadores? Y al responderla han venido a elaborar un enfoque
alternativo al clásico (o habitual) de la estadística, que convenimos en
llamar estadística moderna.
La
estadística clásica tiene infinitos méritos. Pero la experiencia enseña
que también tiende a viciar los conceptos fundamentales de la
disciplina en muchos de sus usuarios (y, en particular, en sus
estudiantes). Es descorazonador comprobar cómo muchos entienden la
estadística como un conjunto de recetas prefabricadas para resolver
ciertos tipos de problemas de libro. Ciertos paquetes de software
para análisis estadístico muy populares, que se limitan a organizar las
recetas en menús y submenús, han contribuido a asentar esta visión
castrada de la ciencia estadística.
La
estadística moderna, por el contrario, pone de relieve los conceptos
fundamentales de la estadística (que proceden esencialmente de la
relación señal/ruido en un conjunto de datos) y enseña a navegar hasta
ellos a través de un proceso computacional y constructivo desde los
datos mismos.
Tradicionalmente,
este proceso constructivo era sumamente engorroso. Pero en la segunda
década del siglo XXI, y gracias a R las cosas han cambiado. Y de ahí
este curso. Porque la era de la estadística moderna ha llegado.
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H.G.Wells
miércoles, 31 de octubre de 2012
Assistant Prof., Postdoc and PhD positions in machine learning available at U. Amsterdam
Three fully funded positions will be available at the University of Amsterdam in the area of machine learning (Assistant Professor, Postdoc, PhD Student).
The research group Machine Learning & Autonomous Intelligent Systems at the University of Amsterdam (UvA) is lead by Prof. dr. M. Welling and conducts research in the area of large scale modeling of complex data sources. This includes the development of new methods for probabilistic graphical models and nonparametric Bayesian models, the development of faster (approximate) inference and learning methods, reinforcement learning and multi-agent systems and the application of all of the above to large scale data domains in science and industry (“Big Data problems”).
The research group Machine Learning & Autonomous Intelligent Systems at the University of Amsterdam (UvA) is lead by Prof. dr. M. Welling and conducts research in the area of large scale modeling of complex data sources. This includes the development of new methods for probabilistic graphical models and nonparametric Bayesian models, the development of faster (approximate) inference and learning methods, reinforcement learning and multi-agent systems and the application of all of the above to large scale data domains in science and industry (“Big Data problems”).
Eustat : 2 BECAS en el campo de las metodologías estadístico-matematicos
Eustat convoca 2 BECAS de dos años en el campo de las metodologías estadístico-matemáticas.
El plazo de solicitudes termina el 15 de Noviembre de 2012
Más información en:
http://es.eustat.es/ci_ci/about/becas_2012_c.html#axzz29jv67Kyr
Associate in Research in computational science and advanced statistical computing for Bayesian methods. in Duike
The Department of Statistical Science at Duke University seeks to hire an Associate in Research in computational science and advanced statistical computing for Bayesian methods.
Full details are available at http://stat.duke.edu/news/associate-research-vacancy
Full details are available at http://stat.duke.edu/news/associate-research-vacancy
Group Leader Position at MRC Biostatistics Unit, Cambridge, UK
The MRC Biostatistics Unit, one of Europe's leading biostatistics research institutions, is seeking a Group Leader to develop an independent scientific programme, investigating statistical method for the analysis of high throughput data in biomedicine, for example next generation sequencing data or other high resolution data used to investigate complex diseases.
PhD Research Position in Machine Learning Available
Description: A 4-year Ph.D. program is available at the Signal Processing System group( http://w3.ele.tue.nl/en/sps ) at the Technical University Eindhoven. This research program is aimed at developing modern machine learning methods that lead to improved performance of audioprocessing algorithms (e.g., for hearing aids). In particular, our approach is to study models of human (brain) learning and adaptation and apply these ideas to the design of personalized audio processing applications. Key areas of interest include Bayesian machine learning, graphical models (factor graphs), computational neurosciences and signal processing.
Postdoctoral Fellow in Bioinformatics
Description: The Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute seeks a postdoctoral fellow in bioinformatics, to work with Drs. Nikhil Munshi and Giovanni Parmigiani on bioinformatics projects within the outstanding multiple myeloma program at DFCI. The position offers excellent scientific training opportunities in a highly stimulating and interdisciplinary environment involving close interactions between computational scientists, medical oncologists and basic scientists.
Assistant, Associate, or Full Professor of Biostatistics in Texas
The Department of Biostatistics within the Division of Quantitative Sciences at MD Anderson Cancer Center is seeking candidates for one or more open rank tenured or tenure-track faculty positions. The department invites applications from individuals who have made outstanding contributions in the development of statistical methodology and its applications to biomedical research. We are particularly interested in candidates who have strong interests in cross-disciplinary and collaborative scientific research. A Ph.D. in statistics, biostatistics or a related field is required.
Postdoctoral Fellow in Texas
Duties & Responsibilities: The Department of Biostatistics in the Division of Quantitative Sciences at The University of Texas MD Anderson Cancer Center has postdoctoral positions open for computational statistics with applications in biostatistics & bioinformatics. The postdoctoral fellows will work under the supervision of Dr. Jeffrey S. Morris. The primary research focus will be on developing novel statistical and computational methodology for the analysis of complex, high-dimensional object data, including high-dimensional functional data, neuroimaging data, shape data, and genomics data. Potential application areas include functional MRI, electrical response potentials (ERP), shape data, and various types of genomics data including copy number, methylation, miRNA, microarray, proteomics, and next generation sequencing data. Some potential projects include integration of information across outcomes of various types, and flexible modeling approaches that incorporate both biological knowledge and empirical structures.
domingo, 21 de octubre de 2012
Beca para estadístico en Madrid
Se necesita ESTUDIANTE DE MATEMATICAS/ESTADISTICA, ya sea de Master, Grado o Licenciatura, para apoyo al dpto de PROCESO DE DATOS, analizando estadísticamente los resultados de los estudios lanzados al mercado.
Several Postdocs / Research Associates in Computational Inference
The Finnish Center of Excellence in Computational Inference Research (COIN, Aalto University and University of Helsinki) announces several new postdoc or research associate positions in Computational Inference.
The objective of COIN is to push the boundaries of inference in the data-rich world of today and tomorrow. The COIN consortium includes the creators of world standards and software such as Independent Component Analysis.
Successful candidates will work on fundamental questions of inference and in applications in Intelligent Information Access, Computational Molecular Biology and Medicine, Computational History, Computational Climate, Computational Neuroscience and other directions yet to be determined. Applicants with suitable background in machine learning, mathematics, statistics, computational logic, combinatorial optimization or statistical physics are encouraged to apply.
For further information, please see
http://www.aalto.fi/en/
The objective of COIN is to push the boundaries of inference in the data-rich world of today and tomorrow. The COIN consortium includes the creators of world standards and software such as Independent Component Analysis.
Successful candidates will work on fundamental questions of inference and in applications in Intelligent Information Access, Computational Molecular Biology and Medicine, Computational History, Computational Climate, Computational Neuroscience and other directions yet to be determined. Applicants with suitable background in machine learning, mathematics, statistics, computational logic, combinatorial optimization or statistical physics are encouraged to apply.
For further information, please see
http://www.aalto.fi/en/
PhD positions in Bayesian Nonparametrics University of Amsterdam
At the Korteweg-de Vries Institute for Mathematics, University of Amsterdam (UvA), there are several vacancies for PhD students in the area of nonparametric Bayesian statistics.
The positions are part of the project "Foundations of nonparametric Bayes procedures". The available projects have a strong mathematical flavour, with links for instance to functional analysis, approximation theory and stochastic process theory, but are motivated by the desire to improve our understanding of practical statistical procedures.
The positions are part of the project "Foundations of nonparametric Bayes procedures". The available projects have a strong mathematical flavour, with links for instance to functional analysis, approximation theory and stochastic process theory, but are motivated by the desire to improve our understanding of practical statistical procedures.
viernes, 19 de octubre de 2012
Tres puestos posdoctorales de investigación asociados (1 +1 años) en redes complejas para Matemáticos
Descripción
Tres puestos posdoctorales de investigación asociados (1 +1 años) están disponibles en la Universidad de Barcelona (España), para trabajar en el campo de las redes complejas / ciencias de la red. Visión general del proyecto se proporciona a continuación.Estamos buscando candidatos fuertemente motivados con excelentes habilidades en el modelado teórico, programación / simulación, recopilación de datos y análisis, y un gran interés en la investigación multidisciplinaria. El candidato debe tener un doctorado en Física, Matemáticas Aplicadas, Ciencias de la Computación, o cualquier otra disciplina estrechamente relacionada.
Tres puestos posdoctorales de investigación asociados (1 +1 años) están disponibles en la Universidad de Barcelona (España), para trabajar en el campo de las redes complejas / ciencias de la red. Visión general del proyecto se proporciona a continuación.Estamos buscando candidatos fuertemente motivados con excelentes habilidades en el modelado teórico, programación / simulación, recopilación de datos y análisis, y un gran interés en la investigación multidisciplinaria. El candidato debe tener un doctorado en Física, Matemáticas Aplicadas, Ciencias de la Computación, o cualquier otra disciplina estrechamente relacionada.
NINE VACANCIES IN STATISTICS IN WARWICKS
Application deadline 14 November 2012
The currently-open positions listed below arise from Warwick's further investment in Statistics and the Department's success in attracting students and winning research funds. It is an opportunity to be part of one of the most prominent and most research-active departments of Statistics and we currently have openings at all level
-- PROFESSOR OF STATISTICS. Preferred research fields: statistical methodology, large and/or complex applications, computational statistics, statistical methods for finance or insurance,stochastic finance.
-- PROFESSOR OR READER IN STATISTICS. Associated with MASDOC. Any research area(s) in probability or statistics; research links with applied mathematics especially welcomed.
The currently-open positions listed below arise from Warwick's further investment in Statistics and the Department's success in attracting students and winning research funds. It is an opportunity to be part of one of the most prominent and most research-active departments of Statistics and we currently have openings at all level
-- PROFESSOR OF STATISTICS. Preferred research fields: statistical methodology, large and/or complex applications, computational statistics, statistical methods for finance or insurance,stochastic finance.
-- PROFESSOR OR READER IN STATISTICS. Associated with MASDOC. Any research area(s) in probability or statistics; research links with applied mathematics especially welcomed.
martes, 16 de octubre de 2012
XXX Reunión Anual de la SEE
Un año más la reunión anual de la Sociedad Española de Epidemiología.Un
año más, si, pero por vez primera vez en la sin par Santander. El
Palacio de la Magdalena será la sede de una reunión cuyo lema: Epidemiología en tiempos de crisis: Haciendo sostenible el sistema de salud;
habla bien a las claras de reivindicar la necesaria epidemiología para
la toma de decisiones, especialmente en una situación de anemia de
recursos.
Los materiales de la Reunión, ponencias y
comunicaciones, estarán disponibles exclusivamente en formato
electrónico, en la página web de Gaceta Sanitaria (http://www.elsevier.es/es/revistas/gaceta-sanitaria-138/volumen-26/numero-espcongreso3).
Así que ... nos vemos en la reunión de la SEE !!!
martes, 9 de octubre de 2012
La Sociedad de Reumatologia busca estadístico para una unidad de investigación
El trabajo se desarrollará en la Unidad de Investigación de la SER. C/Recoletos (Madrid) en la que participará en función de su perfil en cualquiera de las diferentes actividades de la Unidad:
Principales tareas:
• Proporcionar apoyo técnico a los estudios epidemiológicos en lo referente al diseño de los mismos.
• Manejar, tratar y depurar los datos de los proyectos epidemiológicos que se coordinan dentro de la unidad de investigación, realizar el análisis estadístico de los mismos y posteriormente, redactar los informes pertinentes con los resultados de los proyectos
• Organizar, estructurar y estandarizar las rutinas de análisis de los registros que se coordinan desde la unidad de investigación
• Ayudar metodológicamente en las preguntas de investigación de los socios en temas relativos al diseño y realizar el análisis estadístico, en forma de asesoría, de los datos de los proyectos de los socios
• Contribuir en la elaboración de la difusión de los resultados de la investigación o de la evidencia, bien sea por medio de revistas científicas o comunicaciones a congresos
• Estar en continuo contacto en los avances de la ciencia en el campo de la estadística/epidemiología, bien sea por medio de la revisión de artículos científicos o mediante la formación de cursos altamente especializados, para posteriormente adaptar los conocimientos en metodología más avanzada
Más información: http://www.seepidemiologia.es/documents/dummy/Oferta%20estad%C3%ADstico.pdf
Principales tareas:
• Proporcionar apoyo técnico a los estudios epidemiológicos en lo referente al diseño de los mismos.
• Manejar, tratar y depurar los datos de los proyectos epidemiológicos que se coordinan dentro de la unidad de investigación, realizar el análisis estadístico de los mismos y posteriormente, redactar los informes pertinentes con los resultados de los proyectos
• Organizar, estructurar y estandarizar las rutinas de análisis de los registros que se coordinan desde la unidad de investigación
• Ayudar metodológicamente en las preguntas de investigación de los socios en temas relativos al diseño y realizar el análisis estadístico, en forma de asesoría, de los datos de los proyectos de los socios
• Contribuir en la elaboración de la difusión de los resultados de la investigación o de la evidencia, bien sea por medio de revistas científicas o comunicaciones a congresos
• Estar en continuo contacto en los avances de la ciencia en el campo de la estadística/epidemiología, bien sea por medio de la revisión de artículos científicos o mediante la formación de cursos altamente especializados, para posteriormente adaptar los conocimientos en metodología más avanzada
Más información: http://www.seepidemiologia.es/documents/dummy/Oferta%20estad%C3%ADstico.pdf
lunes, 8 de octubre de 2012
Becas postdoctorales IARC en investigación en cáncer
Las becas IARC están dirigidas a jóvenes científicos que se dediquen a
la investigación médica o ciencias afines y que deseen dedicarse a la
investigación en cáncer.
El IARC quiere estimular la investigación en aquellas áreas de investigación de cáncer relacionadas con sus actividades: epidemiología (incluyendo genética y molecular), bioestadística, bioinformática y áreas relacionadas con: mecanismos de carcinogénesis incluyendo biología celular y molecular, genética molecular, epigenética y patología molecular, con énfasis en proyectos interdisciplinares.
Particularmente se pretende promover el desarrollo de conocimientos en paíse
El IARC quiere estimular la investigación en aquellas áreas de investigación de cáncer relacionadas con sus actividades: epidemiología (incluyendo genética y molecular), bioestadística, bioinformática y áreas relacionadas con: mecanismos de carcinogénesis incluyendo biología celular y molecular, genética molecular, epigenética y patología molecular, con énfasis en proyectos interdisciplinares.
Particularmente se pretende promover el desarrollo de conocimientos en paíse
Matemáticos, Físicos y Estadísticos para Consultoría de negocio
Empresa
MANAGEMENT SOLUTIONSManagementSolutions es una firma multinacional de servicios profesionales de consultoría y asesoramiento empresarial. Realizamos proyectos de estrategia, organización, procesos y eficiencia operativa, control y gestión de riesgos y tecnologías relacionadas. Trabajamos fundamentalmente en el sector financiero y en los sectores de energía y telecomunicaciones. ManagementSolutions desarrolla su actividad a través de 18 oficinas, 9 en Europa, 8 en America y 1 Asia, con un equipo multidisciplinar de más de 1200 profesionales. Para más información acerca de la Firma visita: www.msspain.com |
Graduado en Estadística Aplicada (fecha de licenciatura a partir de junio de 2011)
Empresa: El Corte Inglés S.A.
Perfil de los candidatos/as:
· Graduado en Estadística Aplicada (fecha de licenciatura a partir de junio de 2011).
Puesto:
- Técnico de Análisis de datos y conocimiento del cliente
Diplomados en Estadística para Banca
Empresa: HLI. Multinacional Francesa, con más de 150 consultores, Groupe HLI ofrece servicios y soluciones en diferentes áreas de negocio:
- Banca (Riesgo de crédito, actuaria , marketing cuantitativo, BI )
- Telecomunicaciones
Bioinformatics Faculty Position at the University of Kansas
The University of Kansas (KU) Department of Electrical Engineering and
Computer Science (EECS) is seeking applications for a tenure track
faculty position at the rank of Assistant Professor with a focus on computational life sciences
research, including bioinformatics, biomedical informatics, and health
informatics. Research, academic, or industrial expertise in computing and computational life sciences is preferred but not mandatory.
The demonstrated ability to obtain external funding is also preferred. Exceptionally qualified candidates with outstanding qualifications could be considered at higher ranks.
The successful candidate has an earned doctorate or equivalent in computer science, computer engineering, or related fields. Demonstrated research and academic leadership
is required for senior ranks. This search is focused on those with expertise in machine learning, data mining, statistical learning, distributed databases, big data analytics; all
focused on computational life sciences problems. Other areas of computer science focused on computational life sciences maybe considered for exceptional applicants.
EECS is the largest department in the KU School of Engineering, with 38 faculty and annual research volume of over $6 million. EECS offers undergraduate and graduate degrees in electrical engineering, computer engineering, and computer science, and has approximately 600 undergraduate and 250 graduate students.
Applications will be reviewed beginning December 1, 2012 and will be accepted until the position is filled. The successful candidate must be eligible to work in the U.S. prior to the start of the position. To apply, visit jobs.ku.edu and search for faculty position 3990. Questions should be sent to Dr. Huan, the search chair, at EECS_bio_search@ku.edu.
The demonstrated ability to obtain external funding is also preferred. Exceptionally qualified candidates with outstanding qualifications could be considered at higher ranks.
The successful candidate has an earned doctorate or equivalent in computer science, computer engineering, or related fields. Demonstrated research and academic leadership
is required for senior ranks. This search is focused on those with expertise in machine learning, data mining, statistical learning, distributed databases, big data analytics; all
focused on computational life sciences problems. Other areas of computer science focused on computational life sciences maybe considered for exceptional applicants.
EECS is the largest department in the KU School of Engineering, with 38 faculty and annual research volume of over $6 million. EECS offers undergraduate and graduate degrees in electrical engineering, computer engineering, and computer science, and has approximately 600 undergraduate and 250 graduate students.
Applications will be reviewed beginning December 1, 2012 and will be accepted until the position is filled. The successful candidate must be eligible to work in the U.S. prior to the start of the position. To apply, visit jobs.ku.edu and search for faculty position 3990. Questions should be sent to Dr. Huan, the search chair, at EECS_bio_search@ku.edu.
Faculty Positions at Carnegie Mellon University
TENURE-TRACK AND VISITING POSITIONS
Applications are invited for possible tenure-track and visiting positions. Carnegie Mellon offers a collegial faculty environment, emphasizing a combination of disciplinary and
cross-disciplinary research and teaching. All areas of statistics are welcome, and joint appointments with other units in the Pittsburgh area are possible. We especially
encourage women and minorities to apply.
Applications are invited for possible tenure-track and visiting positions. Carnegie Mellon offers a collegial faculty environment, emphasizing a combination of disciplinary and
cross-disciplinary research and teaching. All areas of statistics are welcome, and joint appointments with other units in the Pittsburgh area are possible. We especially
encourage women and minorities to apply.
Statistics Faculty Position at The University of Texas at Austin
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.
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.
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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