COMISIÓN DE SELECCIÓN Nº: 2
• PLAZA: DC00745
• CATEGORIA: PROFESOR ASOCIADO (LOU)
• ÁREA DE CONOCIMIENTO: FUNDAMENTOS DEL ANÁLISIS ECONÓMICO
• DEPARTAMENTO: FUNDAMENTOS DEL ANÁLISIS ECONÓMICO
• ACTIVIDAD: MATEMÁTICAS Y ESTADÍSTICA. HORARIO DE MAÑANA
• DEDICACIÓN: TIEMPO PARCIAL DE 12 HORAS (LOU)
• DURACIÓN: DESDE LA FIRMA DEL CONTRATO HASTA EL 12/09/2012
• CENTRO: FACULTAD CIENCIAS ECONÓMICAS Y EMPRESARIALES
COMISIÓN DE SELECCIÓN Nº: 2
• PLAZA: DC02913
• CATEGORIA: PROFESOR ASOCIADO (LOU)
• ÁREA DE CONOCIMIENTO: FUNDAMENTOS DEL ANÁLISIS ECONÓMICO
• DEPARTAMENTO: FUNDAMENTOS DEL ANÁLISIS ECONÓMICO
• ACTIVIDAD: MATEMÁTICAS Y ESTADÍSTICA. HORARIO DE TARDE
• DEDICACIÓN: TIEMPO PARCIAL DE 12 HORAS (LOU)
• DURACIÓN: DESDE LA FIRMA DEL CONTRATO HASTA EL 12/09/2012, CONDICIONADA A LA SITUACIÓN DE LAS PLAZAS NUMS. DF02054 Y DF00251
• CENTRO: FACULTAD CIENCIAS ECONÓMICAS Y EMPRESARIALES
COMISIÓN DE SELECCIÓN Nº: 140
• PLAZA: DC03885
• CATEGORIA: PROFESOR ASOCIADO (LOU)
• ÁREA DE CONOCIMIENTO: INMUNOLOGÍA
• DEPARTAMENTO: BIOTECNOLOGÍA
• ACTIVIDAD: INMUNOLOGÍA
• DEDICACIÓN: TIEMPO PARCIAL DE 8 HORAS (LOU)
• DURACIÓN: DESDE LA FIRMA DEL CONTRATO HASTA EL 12/09/2012, CONDICIONADA AL SOLAPAMIENTO PROVISIONAL DE PLANES
• CENTRO: FACULTAD CIENCIAS
COMISIÓN DE SELECCIÓN Nº: 177
• PLAZA: DC03608
• CATEGORIA: PROFESOR ASOCIADO (LOU)
• ÁREA DE CONOCIMIENTO: DIDÁCTICA DE LA MATEMÁTICA
• DEPARTAMENTO: INNOVACIÓN Y FORMACIÓN DIDÁCTICA
• ACTIVIDAD: DOCENCIA ASIGNADA AL ÁREA DE DIDÁCTICA DE LA MATEMÁTICA
• DEDICACIÓN: TIEMPO PARCIAL DE 10 HORAS (LOU)
• DURACIÓN: DESDE LA FIRMA DEL CONTRATO HASTA EL 12/09/2012, CONDICIONADA AL SOLAPAMIENTO PROVISIONAL DE PLANES Y A LA SITUACIÓN DE LA PLAZA NÚM. DF02578
• CENTRO: FACULTAD EDUCACIÓN
COMISIÓN DE SELECCIÓN Nº: 177
• PLAZA: DC03840
• CATEGORIA: PROFESOR ASOCIADO (LOU)
• ÁREA DE CONOCIMIENTO: DIDÁCTICA DE LA MATEMÁTICA
• DEPARTAMENTO: INNOVACIÓN Y FORMACIÓN DIDÁCTICA
• ACTIVIDAD: DOCENCIA ASIGNADA AL ÁREA DE DIDÁCTICA DE LA MATEMÁTICA
• DEDICACIÓN: TIEMPO PARCIAL DE 6 HORAS (LOU)
• DURACIÓN: DESDE LA FIRMA DEL CONTRATO HASTA EL 12/09/2012, CONDICIONADA AL SOLAPAMIENTO PROVISIONAL DE PLANES
• CENTRO: FACULTAD EDUCACIÓN
COMISIÓN DE SELECCIÓN Nº: 177
• PLAZA: DC03841
• CATEGORIA: PROFESOR ASOCIADO (LOU)
• ÁREA DE CONOCIMIENTO: DIDÁCTICA DE LA MATEMÁTICA
• DEPARTAMENTO: INNOVACIÓN Y FORMACIÓN DIDÁCTICA
• ACTIVIDAD: DOCENCIA ASIGNADA AL ÁREA DE DIDÁCTICA DE LA MATEMÁTICA. DIDÁCTICA DE LA ECONOMÍA
• DEDICACIÓN: TIEMPO PARCIAL DE 6 HORAS (LOU)
• DURACIÓN: DESDE LA FIRMA DEL CONTRATO HASTA EL 12/09/2012, CONDICIONADA AL SOLAPAMIENTO PROVISIONAL DE PLANES
• CENTRO: FACULTAD EDUCACIÓN
Más información
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write." H.G.Wells
miércoles, 13 de julio de 2011
El Ministerio de Medio Ambiente, y Medio Rural y Marino convoca 2 becas para estadísticos en Madrid
El Ministerio de Medio Ambiente, y Medio Rural y Marino publica hoy en el Boletín Oficial del Estado las ayudas destinadas a becas de formación práctica en materia de análisis y prospectiva agroalimentaria, rural, pesquera y medioambiental para titulados universitarios.
El objeto de esta orden es establecer las bases reguladoras, así como la convocatoria, para la concesión de 6 becas de formación y perfeccionamiento técnico-profesional que estarán repartidas en dos becas en el área de conocimiento de Medio Ambiente, dos becas en el área de conocimientote Economía, y dos becas en el área de conocimiento de Análisis Estadístico
Las ayudas permitirán mejorar la inserción laboral de los recién titulados y los beneficios que generen para la sociedad en general en materia de medio ambiente y en particular para los sectores agrario, pesquero y el medio rural.
Para la concesión de estas ayudas se tendrán en cuenta diversos criterios de valoración entre los candidatos, como la titulación académica y calificación obtenida, formación de postgrado específica de las materias y estudios de especialización de su titulación específica, experiencia práctica, idiomas e informática.
Para estas ayudas el MARM destinará una cuantía total máxima de 123.500 euros.
Mas información en: http://www.boe.es/boe/dias/2011/06/29/pdfs/BOE-A-2011-11199.pdf
El objeto de esta orden es establecer las bases reguladoras, así como la convocatoria, para la concesión de 6 becas de formación y perfeccionamiento técnico-profesional que estarán repartidas en dos becas en el área de conocimiento de Medio Ambiente, dos becas en el área de conocimientote Economía, y dos becas en el área de conocimiento de Análisis Estadístico
Las ayudas permitirán mejorar la inserción laboral de los recién titulados y los beneficios que generen para la sociedad en general en materia de medio ambiente y en particular para los sectores agrario, pesquero y el medio rural.
Para la concesión de estas ayudas se tendrán en cuenta diversos criterios de valoración entre los candidatos, como la titulación académica y calificación obtenida, formación de postgrado específica de las materias y estudios de especialización de su titulación específica, experiencia práctica, idiomas e informática.
Para estas ayudas el MARM destinará una cuantía total máxima de 123.500 euros.
Mas información en: http://www.boe.es/boe/dias/2011/06/29/pdfs/BOE-A-2011-11199.pdf
martes, 12 de julio de 2011
lunes, 6 de junio de 2011
Oferta trabajo: Analista de datos-estadístico
Puesto:
‐ De nueva creación
‐ Dará apoyo estadístico a todas las áreas y proyectos I+D+i del Centro
‐ Realización de tareas de exploración y modelado de patrones bases de datos de
sistemas mecánicos monitorizados
Requisitos mínimos:
‐ Titulación acorde al puesto ofertado (Informática, Estadística, Matemáticas o similar)
‐ Experiencia en proyectos de Data Mining o Máster en Soft Computing y Sistemas Inteligentes
‐ Sólidos conocimientos de Estadística y sistemas de modelización.
‐ Conocimientos de herramientas estadísticas
‐ Conocimientos de aplicaciones de minería de datos (Weka, R, SAS, SPSS…)
‐ Capacidad analítica
‐ Conocimiento de bases de datos
Requisitos deseados:
‐ Inglés fluido
‐ Experiencia en programación
‐ Matlab
Salario:
‐ A negociar en función de valía aportada
Contacto:
‐ info@citean.com
‐ Referencia: Analista de datos
‐ C/Tajonar 20
‐ Tlf. +34 948 29 29 00
‐ Fax. +34 948 29 29 10
‐ De nueva creación
‐ Dará apoyo estadístico a todas las áreas y proyectos I+D+i del Centro
‐ Realización de tareas de exploración y modelado de patrones bases de datos de
sistemas mecánicos monitorizados
Requisitos mínimos:
‐ Titulación acorde al puesto ofertado (Informática, Estadística, Matemáticas o similar)
‐ Experiencia en proyectos de Data Mining o Máster en Soft Computing y Sistemas Inteligentes
‐ Sólidos conocimientos de Estadística y sistemas de modelización.
‐ Conocimientos de herramientas estadísticas
‐ Conocimientos de aplicaciones de minería de datos (Weka, R, SAS, SPSS…)
‐ Capacidad analítica
‐ Conocimiento de bases de datos
Requisitos deseados:
‐ Inglés fluido
‐ Experiencia en programación
‐ Matlab
Salario:
‐ A negociar en función de valía aportada
Contacto:
‐ info@citean.com
‐ Referencia: Analista de datos
‐ C/Tajonar 20
‐ Tlf. +34 948 29 29 00
‐ Fax. +34 948 29 29 10
lunes, 2 de mayo de 2011
Lecturer in Gastrointestinal Epidemiology/Database Epidemiology University of Nottingham
Lecturer in Gastrointestinal Epidemiology/Database Epidemiology
School of Community Health Sciences - Division of Epidemiology & Public Health
University of Nottingham
Applications are invited for this new role based in the Division of Epidemiology & Public Health at the Clinical Sciences Building, City Hospital Campus, Nottingham. This is primarily a research post, intended in particular to provide epidemiological support to the work of the gastrointestinal epidemiology group, in delivering an ambitious programme of research in the epidemiology of gastrointestinal diseases. The successful candidate will join a rapidly growing group of clinical and non-clinical researchers and will be expected to support epidemiological aspects of current research grants, share teaching and research supervision responsibilities within the Division, and to develop their own portfolio of research.
The person appointed will support existing and future members of staff to deliver this work through the analysis of large healthcare datasets including, but not limited to, the General Practice Research Database, Hospital Episodes Statistics, ONS registration data and the Health Survey for England. They will also be encouraged to develop original research in gastrointestinal epidemiology or other individual area of interest, according to skills and opportunities. Travel as appropriate to disseminate research findings at conferences will be encouraged. The successful candidate will take a fair and active share of the teaching burden of the Division, and in supervising undergraduate and postgraduate student projects and unless already so trained, will be required to complete formal teaching training resulting in the award of a Postgraduate Certificate in Higher Education. The person appointed will line manage one or more pre-doctoral research associates and take a fair share of the administrative duties of the Division.
Candidates must have a PhD (or be close to completion) in Epidemiology, Medical Statistics, Health Economics or other relevant subject, a Masters degree in Epidemiology, Medical Statistics or Health Economics, be a proficient user of Stata or other equivalent statistical package, have a proven track-record in the management of large datasets, have the ability to critically appraise scientific literature, and experience of bibliographic database searching. The ability to program Stata or other equivalent statistical package, and knowledge of current issues in the epidemiology of gastrointestinal disease in the UK are desirable. Candidates should also have experience of Conduct and publication of original research, including project development and management, data management, analysis of longitudinal data, interpretation of epidemiological results and presentation of research findings, previous experience of the development of study protocols, experience in the delivery and design of postgraduate teaching programmes and in the supervision of student research projects
Salary will be within the range £32,751 - £44,016 per annum, depending on skills and experience. Salary progression beyond this scale is subject to performance. This post is full- time and permanent.
Informal enquiries may be addressed to Dr Joe West on 0115 823 1345 or email: joe.west@nottingham.ac.uk. Please note that applications sent directly to this email address will not be considered.
For more details and/or to apply on-line please access: http://www.nottingham.ac.uk/Jobs/CurrentVacancies/ref/KC02716. If you are unable to apply on-line please contact the Human Resources Department, tel: 0115 951 3262. Please quote ref. KC/02716. Closing date: 25 May 2011.
For all our vacancies and more about working at the University of Nottingham see: http://jobs.nottingham.ac.uk/.
Click here for Employer Profile
School of Community Health Sciences - Division of Epidemiology & Public Health
University of Nottingham
Applications are invited for this new role based in the Division of Epidemiology & Public Health at the Clinical Sciences Building, City Hospital Campus, Nottingham. This is primarily a research post, intended in particular to provide epidemiological support to the work of the gastrointestinal epidemiology group, in delivering an ambitious programme of research in the epidemiology of gastrointestinal diseases. The successful candidate will join a rapidly growing group of clinical and non-clinical researchers and will be expected to support epidemiological aspects of current research grants, share teaching and research supervision responsibilities within the Division, and to develop their own portfolio of research.
The person appointed will support existing and future members of staff to deliver this work through the analysis of large healthcare datasets including, but not limited to, the General Practice Research Database, Hospital Episodes Statistics, ONS registration data and the Health Survey for England. They will also be encouraged to develop original research in gastrointestinal epidemiology or other individual area of interest, according to skills and opportunities. Travel as appropriate to disseminate research findings at conferences will be encouraged. The successful candidate will take a fair and active share of the teaching burden of the Division, and in supervising undergraduate and postgraduate student projects and unless already so trained, will be required to complete formal teaching training resulting in the award of a Postgraduate Certificate in Higher Education. The person appointed will line manage one or more pre-doctoral research associates and take a fair share of the administrative duties of the Division.
Candidates must have a PhD (or be close to completion) in Epidemiology, Medical Statistics, Health Economics or other relevant subject, a Masters degree in Epidemiology, Medical Statistics or Health Economics, be a proficient user of Stata or other equivalent statistical package, have a proven track-record in the management of large datasets, have the ability to critically appraise scientific literature, and experience of bibliographic database searching. The ability to program Stata or other equivalent statistical package, and knowledge of current issues in the epidemiology of gastrointestinal disease in the UK are desirable. Candidates should also have experience of Conduct and publication of original research, including project development and management, data management, analysis of longitudinal data, interpretation of epidemiological results and presentation of research findings, previous experience of the development of study protocols, experience in the delivery and design of postgraduate teaching programmes and in the supervision of student research projects
Salary will be within the range £32,751 - £44,016 per annum, depending on skills and experience. Salary progression beyond this scale is subject to performance. This post is full- time and permanent.
Informal enquiries may be addressed to Dr Joe West on 0115 823 1345 or email: joe.west@nottingham.ac.uk. Please note that applications sent directly to this email address will not be considered.
For more details and/or to apply on-line please access: http://www.nottingham.ac.uk/Jobs/CurrentVacancies/ref/KC02716. If you are unable to apply on-line please contact the Human Resources Department, tel: 0115 951 3262. Please quote ref. KC/02716. Closing date: 25 May 2011.
For all our vacancies and more about working at the University of Nottingham see: http://jobs.nottingham.ac.uk/.
Click here for Employer Profile
Fully funded PhD Studentship University of East Anglia
Fully funded PhD Studentship
Multivariate Methods of Meta Analysis
University of East Anglia
School of Computing Sciences
This fully funded studentship is available to start in October 2011, under the supervision of Professor Elena Kulinskaya, in the internationally renowned School of Computing Sciences, UEA Norwich (90% of research activity classified as internationally leading, excellent or recognised, RAE 2008).
Funding is available for UK/EU students. Funding awarded for this project will cover tuition fees and stipend for UK students. EU students may be eligible for full funding, or tuition fees only, depending on the funding source. International students will not be eligible for this funding however they are still welcome to apply for the project but would have to find alternative funding.
Project description:
Meta-analysis is a collection of statistical methods aimed at combining the results of several studies in order to improve the accuracy of decisions. The goal of meta-analysis is to provide the evidence base for decision making in various scientific fields, including medicine, social and environmental sciences. Available PhD projects in the area of meta-analysis include development of multivariate methods of meta analysis, and the detection of temporal trends. Multivariate methods of meta-analysis. Often the studies provide several outcomes (results of several tests) and therefore the multivariate methods of meta-analysis need to be developed and applied. Additionally, different sets of tests may be present in different studies and the published results are often adjusted for a number of confounders which may differ across studies. Possible presence of various types of bias further complicates the aggregation of the results. This project will develop new statistical methods of multivariate meta-analysis with a choice of applications to environmental sciences, economics or medicine.
Contact:
For informal enquiries about this position please contact Prof Elena Kulinskaya
at e.kulinskaya@uea.ac.uk or the Faculty of Science Admissions Office at sci.pgr.admiss@uea.ac.uk or +44 (0) 1603 593002.
How to apply:
Apply online or download an application form from our website at: http://www.uea.ac.uk/futurestudents/uk/postgraduates/admissions/pgradmissions. Completed application forms should be submitted to the Admissions Office, Faculty of Science, University of East Anglia, Norwich, NR4 7TJ.
The deadline for receipt of completed applications is 30th June 2011
Multivariate Methods of Meta Analysis
University of East Anglia
School of Computing Sciences
This fully funded studentship is available to start in October 2011, under the supervision of Professor Elena Kulinskaya, in the internationally renowned School of Computing Sciences, UEA Norwich (90% of research activity classified as internationally leading, excellent or recognised, RAE 2008).
Funding is available for UK/EU students. Funding awarded for this project will cover tuition fees and stipend for UK students. EU students may be eligible for full funding, or tuition fees only, depending on the funding source. International students will not be eligible for this funding however they are still welcome to apply for the project but would have to find alternative funding.
Project description:
Meta-analysis is a collection of statistical methods aimed at combining the results of several studies in order to improve the accuracy of decisions. The goal of meta-analysis is to provide the evidence base for decision making in various scientific fields, including medicine, social and environmental sciences. Available PhD projects in the area of meta-analysis include development of multivariate methods of meta analysis, and the detection of temporal trends. Multivariate methods of meta-analysis. Often the studies provide several outcomes (results of several tests) and therefore the multivariate methods of meta-analysis need to be developed and applied. Additionally, different sets of tests may be present in different studies and the published results are often adjusted for a number of confounders which may differ across studies. Possible presence of various types of bias further complicates the aggregation of the results. This project will develop new statistical methods of multivariate meta-analysis with a choice of applications to environmental sciences, economics or medicine.
Contact:
For informal enquiries about this position please contact Prof Elena Kulinskaya
at e.kulinskaya@uea.ac.uk or the Faculty of Science Admissions Office at sci.pgr.admiss@uea.ac.uk or +44 (0) 1603 593002.
How to apply:
Apply online or download an application form from our website at: http://www.uea.ac.uk/futurestudents/uk/postgraduates/admissions/pgradmissions. Completed application forms should be submitted to the Admissions Office, Faculty of Science, University of East Anglia, Norwich, NR4 7TJ.
The deadline for receipt of completed applications is 30th June 2011
PhD studentship funded by Kidney Research UK
PhD studentship funded by Kidney Research UK
Faculty of Epidemiology and Population Health
London School of Hygiene & Tropical Medicine
We are looking for a highly motivated candidate for a PhD studentship funded by Kidney Research UK:
Clinical management of those with pre-dialysis chronic kidney disease (CKD) focuses on prevention of cardiovascular outcomes. However, the association of CKD with increased mortality is not only driven by cardiovascular deaths, but also by non-cardiovascular deaths. Recent studies show that CKD is associated with a higher risk of bloodstream infections and severe pneumonia, but there are limited data on the epidemiology of infections in CKD patients. Amongst CKD patients those who have diabetes are at particularly high risk of infections. The aim of this project is to describe the burden of infections in older people with diabetes and CKD, risk factors and outcomes of these infections. The project will use large linked UK datasets of hospital, general practice and mortality records. Supervisors: Dr Dorothea Nitsch and Dr Sara Thomas
Applicants should have a masters degree in Epidemiology (passed with very good grades). We also require excellent quantitative skills, proven ability to manage very large data sets using STATA, a meticulous approach and excellent writing skills. You should have an interest in the epidemiology of infectious diseases in older people with diabetes mellitus in the United Kingdom. Experience of working with UK population-based data on infectious diseases would be desirable.
The studentship will start on 1st September 2011 and is funded for 3 years. UK-level fees will be paid in addition to an annual stipend of £15,740. Closing date: 16th May 2011. Interviews: 9th June.
For full details of how to apply, please see the School's website:
www.lshtm.ac.uk/prospectus/funding/kruk.html
Faculty of Epidemiology and Population Health
London School of Hygiene & Tropical Medicine
We are looking for a highly motivated candidate for a PhD studentship funded by Kidney Research UK:
Clinical management of those with pre-dialysis chronic kidney disease (CKD) focuses on prevention of cardiovascular outcomes. However, the association of CKD with increased mortality is not only driven by cardiovascular deaths, but also by non-cardiovascular deaths. Recent studies show that CKD is associated with a higher risk of bloodstream infections and severe pneumonia, but there are limited data on the epidemiology of infections in CKD patients. Amongst CKD patients those who have diabetes are at particularly high risk of infections. The aim of this project is to describe the burden of infections in older people with diabetes and CKD, risk factors and outcomes of these infections. The project will use large linked UK datasets of hospital, general practice and mortality records. Supervisors: Dr Dorothea Nitsch and Dr Sara Thomas
Applicants should have a masters degree in Epidemiology (passed with very good grades). We also require excellent quantitative skills, proven ability to manage very large data sets using STATA, a meticulous approach and excellent writing skills. You should have an interest in the epidemiology of infectious diseases in older people with diabetes mellitus in the United Kingdom. Experience of working with UK population-based data on infectious diseases would be desirable.
The studentship will start on 1st September 2011 and is funded for 3 years. UK-level fees will be paid in addition to an annual stipend of £15,740. Closing date: 16th May 2011. Interviews: 9th June.
For full details of how to apply, please see the School's website:
www.lshtm.ac.uk/prospectus/funding/kruk.html
Biomathematics and Statistics Scotland
Senior Statistician
Biomathematics and Statistics Scotland
Biomathematics & Statistics Scotland (BioSS) has an international reputation for methodological development in statistics, mathematical modelling and bioinformatics. BioSS offers a stimulating working environment, with over 30 staff at four different locations, working on applications in plant science, animal health and welfare, ecology & environmental science and nutrition & human health.
£33,780 - £37,534
We seek an experienced statistician with excellent technical and interpersonal skills to work in BioSS's plant science application area, based at The James Hutton Institute (JHI) in Dundee. JHI works at the forefront of modern technology, generating a challenging range of quantitative problems motivated by research on crop plants and their interactions with the environment. The postholder will have the opportunity to develop an area of personal research related to the analysis of high dimensional data arising from 'omics and next generation sequencing.
Applicants should be:
•enthusiastic about the potential of modern statistical methods to contribute to the advancement of scientific thinking;
•able to demonstrate experience of collaboration with biological scientists and innovation in the development and application of modern statistical methods, substantiated by a record of scientific publications.
Further information on the above post, including how to apply, is available on the BioSS website at http://www.bioss.ac.uk/vacancies.html Closing date - 27th May 2011, Post Ref - BioSS/2/11. Potential applicants may contact Dr Frank Wright (f.wright@bioss.ac.uk; 01382 562731), in confidence to discuss the post.
Más información
Biomathematics and Statistics Scotland
Biomathematics & Statistics Scotland (BioSS) has an international reputation for methodological development in statistics, mathematical modelling and bioinformatics. BioSS offers a stimulating working environment, with over 30 staff at four different locations, working on applications in plant science, animal health and welfare, ecology & environmental science and nutrition & human health.
£33,780 - £37,534
We seek an experienced statistician with excellent technical and interpersonal skills to work in BioSS's plant science application area, based at The James Hutton Institute (JHI) in Dundee. JHI works at the forefront of modern technology, generating a challenging range of quantitative problems motivated by research on crop plants and their interactions with the environment. The postholder will have the opportunity to develop an area of personal research related to the analysis of high dimensional data arising from 'omics and next generation sequencing.
Applicants should be:
•enthusiastic about the potential of modern statistical methods to contribute to the advancement of scientific thinking;
•able to demonstrate experience of collaboration with biological scientists and innovation in the development and application of modern statistical methods, substantiated by a record of scientific publications.
Further information on the above post, including how to apply, is available on the BioSS website at http://www.bioss.ac.uk/vacancies.html Closing date - 27th May 2011, Post Ref - BioSS/2/11. Potential applicants may contact Dr Frank Wright (f.wright@bioss.ac.uk; 01382 562731), in confidence to discuss the post.
Más información
jueves, 28 de abril de 2011
Permament Faculty Position at UF Rio de Janeiro, Brazil
One position for faculty at the Departamento de Métodos Estatísticos (DME)of the Universidade Federal do Rio de Janeiro (UFRJ) has just been opened on21 March 2011.
Candidates must have a PhD is Statistics or a related branchof Science. The monthly salary is roughly around US$4,000.00. Thecompetition has been opened for 1 position of Professor Adjunto but more upto 2 additional candidates can be approved if deemed suitable. Registration will be open for 30 days from 21 March 2011 and must be filedat the registration office of Instituto de Matemática, UFRJ (at the mainUFRJ campus, Technology Center, Block C, office C-103), from 9am to 5pm.Candidates unable to register in person may nominate a local representative. Valid documentation (including certified PhD diploma and permament visa) arenot required for registration. They can be obtained at a later stage afterapproval at the competition but must be presented before taking up theposition.
DME is one of the 5 departments of the Instituto de Matemática. It isresponsible for an undergraduate Program leading to 2 degrees: Bachelor inStatistics and in Actuarial Sciences and a Graduate Program with 2 degrees:M.Sc and Dr.Sc. in Statistics. Both Programs are well established and existfor more than 3 decades. The Graduate Program has awarded 131 M.Sc. degreesand 17 Dr.Sc. degrees. The alumni are scattered around many universities inBrazil and abroad. More information about DME and the Graduate Program withits research lines can be obtained in English at http://www.dme.ufrj.br/index_EN.html UFRJ has a supporting system for young doctors and FAPERJ (the researchsupporting agency of the State of Rio de Janeiro) has regularly opened callsfor applications directed to young investigators.
Additional information about the competition can be obtained with theDirector´s Office through telephone number (55-21) 2562-7036 or by email secim@im.ufrj.br.
Additional information about theDepartment can be obtained with the DME Secretary through telephone number(55-21) 2562-7401 or by email neuza@im.ufrj.br The official call for the position can be obtained at website of theInstituto de Matemática http://www.im.ufrj.br, byselecting Concursos and then Edital no. 36.
Address of Instituto de Matemática: Av. Athos da Silveira Ramos 149, Centro de Tecnologia, Bloco C - sala C-103, Cidade Universitária Caixa Postal 68.530 Rio de Janeiro, RJ 21941-909
Candidates must have a PhD is Statistics or a related branchof Science. The monthly salary is roughly around US$4,000.00. Thecompetition has been opened for 1 position of Professor Adjunto but more upto 2 additional candidates can be approved if deemed suitable. Registration will be open for 30 days from 21 March 2011 and must be filedat the registration office of Instituto de Matemática, UFRJ (at the mainUFRJ campus, Technology Center, Block C, office C-103), from 9am to 5pm.Candidates unable to register in person may nominate a local representative. Valid documentation (including certified PhD diploma and permament visa) arenot required for registration. They can be obtained at a later stage afterapproval at the competition but must be presented before taking up theposition.
DME is one of the 5 departments of the Instituto de Matemática. It isresponsible for an undergraduate Program leading to 2 degrees: Bachelor inStatistics and in Actuarial Sciences and a Graduate Program with 2 degrees:M.Sc and Dr.Sc. in Statistics. Both Programs are well established and existfor more than 3 decades. The Graduate Program has awarded 131 M.Sc. degreesand 17 Dr.Sc. degrees. The alumni are scattered around many universities inBrazil and abroad. More information about DME and the Graduate Program withits research lines can be obtained in English at
Additional information about the competition can be obtained with theDirector´s Office through telephone number (55-21) 2562-7036 or by email
Additional information about theDepartment can be obtained with the DME Secretary through telephone number(55-21) 2562-7401 or by email
Address of Instituto de Matemática: Av. Athos da Silveira Ramos 149, Centro de Tecnologia, Bloco C - sala C-103, Cidade Universitária Caixa Postal 68.530 Rio de Janeiro, RJ 21941-909
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