ISI - INTERNATIONAL STATISTICAL INSTITUTE

Career Opportunities

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Jobs:

Advanced Stata: Programming and other techniques to make your life easier

We are still accepting applications for this course.

Course outline
The course will be held in central London at the London School of Hygiene & Tropical Medicine and will run from 12 - 16 July 2010. The day starts at 9.30am and finishes at 5.30pm. On Monday the day will start later at 10:30am and Friday finish earlier at 4:30pm.

The aim of the course is to teach competent Stata users the techniques that allow you to get the most out of Stata and speed up the output of your work.

As well as being a powerful tool for statistical analysis, Stata offers a variety of commands for manipulating your data and for formatting, arranging and exporting your results.

The course is aimed at researchers and other professionals, from any discipline, who regularly use Stata for analysis but want to learn how to work more efficiently. It would be particularly suited to those who are about to embark on large analyses and who would like a quick guide on how to automate the repetitive parts of the process.

The course is taught by research staff from the Centre for Population Studies, who regularly use Stata for large-scale analyses using multiple data sources. The examples used in the course are drawn from the background of the tutors and are, therefore, from the population and health sciences. However, none require any specialist knowledge of the field.

Much of the material in the course has been developed with students and staff from the UK and overseas. Most teaching is hands-on, using Stata to tackle a series of exercises designed to illustrate the use of particular commands in order to solve a variety of problems. These exercises are supplemented by short lectures and a very comprehensive set of notes.

There is a strong emphasis throughout on providing information that can be built on to tackle new problems and to be applied in different situations.

We use Stata 11 in a Windows environment; users of other operating systems should note that, although almost everything is the same, there are some differences between operating systems and these are not covered in the course.

Who Should Attend
The course is designed for people who want to be more efficient in their use of Stata. Those who are already experienced in using Stata for data analysis will benefit most from the course. As a minimum, you should be able to use Stata for an analysis of some sort (linear regression, for example) generate, recode and label variables, and be comfortable writing comprehensive do files.

If you are already familiar with the merge, collapse, reshape and append commands, have used foreach or forvalues loops and can understand a simple Stata program, then this course may be too basic for you. If, on the other hand, none of that sounds familiar, then this could be exactly what you need!

If you have any doubt about whether the course would be suitable for you, please do get in touch with the organisers who will be able to advise you further.

Applicants should have a good command of English.

Course Content
The course can be divided broadly into three sections:

Data handling and manipulation
Stata has some powerful but simple commands for managing and manipulating data. We cover the commands needed to combine data from different datasets (appending and merging) and to rearrange data from wide format to long format. We will also cover searching for duplicate records, and managing these, reordering the variables in the dataset, generating summary variables and summary datasets.

Accessing and outputting results
One of the commonest complaints about Stata is the difficulty of producing well-formatted results output. The output on the screen typically contains more detail than is required, and the formatting is often sub-standard.
Cutting and pasting is tedious when there are many results to present and inefficient when analyses have to be repeated. It is possible to automatically output well formatted, concise and relevant results from Stata. You can set up do files which write the results you want to the screen, or external files, in the required format. These results files can then be automatically updated each time the analysis is repeated. There are several ways to do this using either additional user-written Stata commands or with some simple programming.

This course introduces both approaches.

Programming Stata
Data cleaning, data management and the initial stages of many analyses can be repetitive and time consuming. Many of these repetitive tasks can be automated in Stata, which not only speeds up the process but also reduces the chances of making an error. We cover the use of basic programming techniques to assist you in quickly and efficiently carrying out repetitive tasks.

Aims & Objectives
By the end of the course you should be able to:
1. Generate variables that contain summaries of the data
2. Create a summary dataset using collapse
3. Navigate a dataset using _n, _N and subscripted variables
4. Rearrange a dataset using reshape
5. Combine multiple datasets using merge and append
6. Identify duplicate observations
7. Export data to a spreadsheet
8. Create tailor-made publication quality graphs
9. Understand what macros and scalars are
10. Be able to use foreach and forvalues loops
11. Understand and use if statements
12. Understand how Stata stores estimation results
13. Be able to access and use stored estimation results
14. Know how to export results using user-written commands: estout, outreg, tabout
15. Understand how Stata programs work
16. Be able to write and use a simple Stata program
17. Be able to write a do-file which exports results using file write

Methods of Assessment
None. There will be an opportunity on the last afternoon for students to practice with their own datasets. A certificate of attendance will be provided on completion of the course.

Course Fee
The fee for the course is £945 which includes instruction and refreshments, it does not include lunch, accommodation or travel. The full fee must be available by 4 June 2010.

Accommodation & Meals
Unfortunately, we are not able to arrange travel and accommodation for course participants. However, a list of local hotels and student accommodation is available from Registry.

Lunch can be purchased from the School refectory. Evening meals are not catered for at the School, but there is a large choice of restaurants and coffee shops nearby.

The London School of Hygiene & Tropical Medicine is committed to improve global health through its programme of short and full-time postgraduate study.

Please email shortcourses@lshtm.ac.uk for an application form.

Contact information:
Stata short course team
Centre for Population Studies
London Scholl of Hygiene and Tropical Medicine
49-51 Bedford Square
London WC1B 3DP
tel: +44 (0)20-7299 4622
fax: +44 (0)20 7299 4637
shortcourses@lshtm.ac.uk

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Application Deadline: 15 June 2010

Starting Date: 1 October 2010

Career Details: 
Within the Collaborative Research Center 755 Nanoscale Photonic Imaging a postdoctoral or PhD position (salary scale E13 TV- L) is offered in the group of Prof. Axel Munk at the Institute for Mathematical Stochastics of the Georg-August-University Göttingen starting October 1, 2010 (or later) until June 30, 2011. An extension is possible.

The project is situated at the intersection of mathematical statistics and applications in nanoscale photonic imaging (www.SFB755.uni-goettingen.de).
Particularly, data driven stopping criteria for iterative algorithms should be examined and applied to fluorescence nanoscale microscopy. The possibility of habilitation/doctorate at the Faculty of Mathematics and Computer Science is given.

Required Qualifications: 
The candidate is expected to have a very good knowledge of mathematical statistics or probability theory, knowledge of physics, and in particular of optics, and experience in programming (e. g. R, C++ or Matlab) is desirable. The Collaborative Research Center 755 offers you an exciting working environment in which you will cooperate with statisticians, numerical mathematicians, biophysicists and biochemists on highly topical interdisciplinary questions from the field of biophotonics.

Application:
Candidates should send applications either via email or only copies of applications as the documents will be shredded after a five-month retention period.

Contact information:
Ms. A. Solska-Mieloch (Secretary)
Institute for Mathematical Stochastics
Georg-August-University Göttingen
Goldschmidtstr. 7
D - 37077 Göttingen, Germany
solska@math.uni-goettingen.de

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Application Deadline: 30 April 2010

Starting Date: 1 September 2010

Career Details: 
Senior Biostatistician, Assistant/Associate/Full Professor

Academic Biostatistician Required by top UAE University
The Faculty of Medicine & Health Sciences of the United Arab Emirates University is seeking to recruit a senior Biostatistician as Full Professor in the department.

The appointee will support the Department in research, teaching and service. Expertise in Biostatistics is key to our clinical and epidemiological research efforts. The University is also planning to establish new cluster appointments in Epidemiology, and to develop Global Health initiatives. Teaching takes place in all six years of the curriculum, culminating in the final year with its Senior Clerkship. The appointee will contribute to the programs of graduate and professional training (An MPH and Residency training in Public Health / Occupational health is being organised), which are being developed. He/she will also initiate and be principal investigator for research projects relevant to health of communities in the UAE. Ample opportunities are available for collaboration with colleagues in the Faculty of Medicine and other institutions in the University and in the community. Particular importance is attached to developing strong and interactive links with educational establishments, the Health authorities and other government agencies, and the oil, airline and other local, national and regional industries.

Required Qualifications: 
Applicants should hold a PhD in biostatistics and have additional training or experience in epidemiology with practical experience in an area of Community or Public Health Medicine and in computerized statistical analysis. They should also have experience in teaching Community Medicine including Biostatistics and Epidemiology to medical students and graduates. The candidate should be able to provide consultation to individuals conducting research, and should have a substantial list of publications in international peer-reviewed journals. Experience in the practical application of public health statistics and epidemiology will be an advantage

How to apply:
Applicants must complete the Online Application Form and attach a full CV and publication list at http://www.fmhs.uaeu.ac.ae/Vacancies.asp?c=f&v=112

Contact information:
Samir Hamed Mustafa
HR Supervisor
Faculty of Medicine and Health Sciences, UAE University
Tawam Medical Campus
Abu Dhabi Road
P O Box 17666 Al Ain
United Arab Emirates
Cell Phone: 00971506195105
samirh@uaeu.ac.ae

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Application Deadline: 15 May 2010

Starting Date: 1 October 2010

Career Details: 
Assistant Professor of Biostatistics
The new Faculty member is expected to become a leader in quantitative sciences as they apply to agricultural and environmental sciences.
Responsibilities will include teaching at undergraduate and/or graduate level, as well as collaborative research with the other members of the Faculty. Candidates with a good background (PhD level) in statistical sciences and with a research experience in statistical methods applied to agronomy, biology, ecology, hydrology are highly desirable.

Preconditions for employment are: successful completion of academic studies at an institute of higher education, pedagogical aptitude, Ph.D./doctorate and postdoctoral qualification. Candidates should prove they represent their fields in teaching/research at an internationally approved standard. Only candidates already holding at a non-Italian University an academic position equivalent to the one they apply for are eligible for the position – according to the Italian law about “chiamata diretta”.

The Free University of Bozen-Bolzano is a multi-lingual academic institution in an environment of the Southern Alps which meets tradition and innovation. The numbers of students and university teachers guarantee an intensive supervision in the various B.Sc. and M.Sc. study programs.

The newly founded Faculty of Science and Technology in Bozen (Italy) has an interdisciplinary approach by focusing in teaching and research on the sustainable development of mountain environments. Thus, the Faculty integrates disciplines of engineering, agricultural and natural sciences.
We search for highly qualified and motivated scientists for building up an excellence cluster in close cooperation with other research institutions in the region and abroad on an international level.

Applications
Applications with the usual supporting information (CV, list of publications, copies of the most important papers, testimonials, certificates, etc.) should be submitted by May 15, 2010 to:
Free University of Bolzano-Bozen
Dean office – Faculty of Science and Technology
Universitätsplatz 5 • piazza Università, 5 – Building K – office 3.05
I-39100 Bolzano

phone +39 0471 017101
fax +39 0471 017009
E-mail: science.technology@unibz.it

Contact information:
Free University of Bolzano-Bozen
Dean office – Faculty of Science and Technology
Universitätsplatz 5 • piazza Università, 5 – Building K – office 3.05
I-39100 Bolzano

phone +39 0471 017101
fax +39 0471 017009
E-mail: science.technology@unibz.it

Advertisement Website:
http://www.unibz.it/en/organisation/vacancies/tenuredprofessors/calls/default.html

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Application Deadline: 1 August 2010

Starting Date: 1 June 2010

Career Details: 
The Institut national de la recherche scientifique is a university dedicated to research and training at the graduate levels. French is the official language. The Centre Eau Terre Environnement focuses its activities on the sustainable management of water and earth resources.

Project Description:
As part of the activities of the Canada Research Chair in Hydrometeorological Variable Assessment, the fellow will work on frequency analysis of hydrological variables such as floods and low water levels. He(she) will contribute to the development of new methods of regional assessment using new techniques in multivariate statistics such as copulas, multivariate multiple regression models and depth functions.

Desired Qualifications
PhD in statistics or applied statistics but other disciplines that include a rigorous training in statistics will be considered. Practical experience in statistical modeling would be an asset. French is the official language at the INRS but most of this fellowship work will be done in English.
Specific skills required:
• Ability to work in a team
• Excellent communication abilities and a good knowledge of the English language
• Programming competency with software such as Matlab and R

Contact information:
Professor Fateh Chebana
Chaire du Canada en estimation des variables hydrométéorologiques
Institut national de la recherche scientifique
Centre Eau Terre Environnement
490, de la Couronne
Québec (Qc) G1K 9A9 Canada
Fateh.Chebana@ete.inrs.ca
Phone: +1 (418) 654-2542
Fax: +1 (418) 654-2600

http://www.ete.inrs.ca/recrut/stg_20100225_001.html

How to Apply
Please send us as soon as possible:
A letter of interest
A résumé with a list of publications
Names et addresses of 3 references

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Application Deadline: 17 March 2010

Starting Date: 1 October 2010

Career Details: 
WU (Vienna University of Economics and Business) is currently inviting applications for the position of a Full Professor of Applied Statistics and Econometrics at the Department of Finance, Accounting and Statistics.

WU is the largest business university in the European Union and is centrally located at the heart of Europe. The University maintains an excellent position as a centre for research and teaching and attracts an international group of students and faculty. It offers a broad range of subjects in all areas of economics and business administration. WU is one of only five EQUIS accredited universities in the German-speaking world and is striving to achieve a top position among the leading European business universities. For details, please see www.wu.ac.at.

Applicants should have: a) a solid academic qualification (e.g., PhD, Habilitation) in applied statistics and econometrics or a related area; b) an outstanding international reputation in high quality scholarship in the area of applied statistics and econometrics; c) a strong background in applied probability and computing; d) high commitment and ability to lead in order to substantially contribute to the Department's academic activities. Experience in generating research funding is preferable.

The successful candidate is expected to have established an international reputation as a researcher in his/her field and have an outstanding publication record. Preference will be given to candidates with a focus on applications in modern finance and economics, and a marked interest in theory and applications of statistical inference for continuous-time stochastic processes. We expect a strong interest in teaching at bachelor, master, and PhD levels, especially in WU’s Master Programs in Quantitative Finance and Economics, as well as in executive education programs. Teaching experience in English is required; teaching experience in German is not necessary. Non-German-speaking candidates will be expected to acquire proficiency in German over a certain period of time.

WU is an Equal Opportunity Employer and seeks to increase the number of its female faculty members. Therefore qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference.

Applications:
Candidates should send their applications (including all relevant documents, curriculum vitae, list of publications, list of classes held, etc.) to the Rector of WU Wirtschaftsuniversität Wien, Professor Christoph Badelt, Augasse 2-6, A-1090 Vienna. Electronic applications can be sent to prof.application@wu.ac.at. Please quote the reference no. given above when submitting your application. Applications must be submitted by March 17^th, 2010.

Contact information:
For details of the position, please contact Professor Kurt Hornik, Head, Institute for Statistics and Mathematics, by phone: ++43-1-31336-4756, or email: Kurt.Hornik@wu.ac.at.

Professor Christoph Badelt,
Augasse 2-6,
A-1090 Vienna
prof.application@wu.ac.at
http://www.wu.ac.at/jobs

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Application Deadline: 

Starting Date: 

Career Details: 
Subdirector(a) Ejecutivo(a)
Oficina del Director Ejecutivo
El Instituto de Estadísticas de Puerto Rico acepta solicitudes para el puesto de Subdirector(a) Ejecutivo(a). El Instituto tiene como misión elaborar la política de desarrollo de la función pública estadística, coordinar el servicio de producción de estadísticas de las entidades gubernamentales, y requerir información tanto al sector público como al sector privado, con el propósito de promover cambios en los sistemas de recopilación de datos y estadísticas para que éstos sean completos, confiables y de rápido y universal acceso. Al igual que se dispone por ley para la Dirección Ejecutiva, la persona seleccionada será una persona de reconocida integridad personal y profesional, objetividad y competencia en los campos de estadística, economía o planificación, entre otros relacionados. La compensación se determinará a base de la preparación y experiencia.

Propósito del Puesto
Responsable de ejecutar, dirigir y administrar, velando porque se cumpla la política pública establecida por la Junta de Directores y la Dirección Ejecutiva. Representar a la Dirección Ejecutiva en aquellos asuntos que le sean delegados. Coordinar los trabajos de los grupos de trabajo del Instituto. Gerenciar proyectos de gran complejidad para transformar los sistemas de 1) recopilación de datos, 2) producción estadística y 3) acceso público a las estadísticas, para dotar al país con estadísticas confiables, completas y de rápido y universal acceso. Definir, identificar, planificar y coordinar el desarrollo e implantación de proyectos estadísticos, cumpliendo con el calendario, nivel de calidad y presupuesto esperado. Producir investigaciones y documentarlas en informes y presentaciones.

Requisitos
-Poseer grado doctoral de universidad reconocida en estadística, economía, planificación, geografía, demografía, epidemiologia, bioestadística, matemáticas, ciencia de cómputos, criminología, sociología, política pública, administración de empresas, administración pública, entre otros.
-Conocer la metodología estadística y sus aplicaciones, y tener experiencia en el manejo de sistemas de datos y estadísticas, evidenciado por la práctica profesional, investigaciones y publicaciones.
-Tener experiencia gerencial o administrativa.
-Tener empeño en desarrollar trabajo de calidad.
-Demostrar liderazgo, visión de futuro, efectividad en alcanzar las metas propuestas, capacidad para trabajar en equipo y destrezas interpersonales necesarias para ocupar un puesto de esta naturaleza.
-Demostrar destrezas efectivas de comunicación, orales y de redacción, en español e inglés.

Procedimiento
Enviar los siguientes documentos por correo electrónico a avisopublico@estadisticas.gobierno.pr:
1) Carta de interés (“cover letter”)
2) Resumé
3) Transcripción de créditos con el grado doctoral conferido
4) Solicitud de Empleo (que se puede completar en pantalla)
5) Copia de un trabajo de investigación completo donde se haga un uso extenso de la estadística

Recibiremos solicitudes de forma continua hasta que se nombre a la persona idónea. Puede dirigir sus preguntas a avisopublico@estadisticas.gobierno.pr.

English summary:
(via http://translate.google.com)

Assistant Executive Director, Statistical Institute of Puerto Rico

Application Deadline: 

Starting Date: 

Career Details: 
The Institute of Statistics of Puerto Rico accepts applications for the post of Assistant Executive Director (F/M). The Institute's mission is to develop the policy of development of public statistics, coordinating the production of statistical service to government entities and require information to both the public and the private sector, in order to promote changes in systems data collection and statistics so that they are complete, reliable, fast and universal access. As provided by law for the Executive Directorate, the person selected shall be a person of recognized personal and professional integrity, objectivity and expertise in the fields of statistics, economics or planning, and other related. The compensation is determined based on the qualifications and experience.

Required Qualifications: 
-Possess recognized university doctoral degree in statistics, economics, planning, geography, demography, epidemiology, biostatistics, mathematics, computer science, criminology, sociology, public policy, business administration, public administration, among others.
-Knowing the statistical methodology and its applications, and have experience in managing information systems and statistics, as evidenced by professional practice, research and publications.
-To have managerial or administrative experience.
-Having committed to develop quality work.
-To demonstrate leadership, vision, effectiveness in achieving the proposed goals, capacity for teamwork and interpersonal skills necessary for a post of this nature.
-Demonstrate effective communication skills, oral and writing in Spanish and English.

Applications:
Send the following documents by email to avisopublico@estadisticas.gobierno.pr:
1) Letter of interest (cover letter)
2) Resumé
3) Transcript of credits with the doctoral degree conferred
4) Employment Application (which can be completed on screen)
5) Copy complete a research where extensive use is made of statistics

Contact information:
Continuously receive applications until they name the right person. You can send questions to avisopublico@estadisticas.gobierno.pr.

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Application Deadline: 26 February 2010

Starting Date: 1 September 2010

Career Details: 
Ranked the number one agricultural institute in Europe and number two in the world, INRA carries out mission-oriented research for high-quality and healthy foods, competitive and sustainable agriculture and a preserved and valorised environment.

National Institute for Agricultural Research (INRA, France) is recruiting 62 Scientists through open competitions.

These recruitments are open in a wide range of scientific fields such as statistics, biochemistry, molecular biology, genomics, genetics, human and animal food and nutrition, microbiology, ecology, agronomy, cell biology, physiology, modelling, mathematics, economics, sociology, immunology, natural environments and many more.

There is in particular a tenured position named : Application of the probabilities and the statistics to study of genomic data 

Applications:
All useful information to apply (jobs’ profiles, guides for applicants) are available on: www.international.inra.fr (see”Join us”)

Contact information:
For further details: concours_chercheurs@paris.inra.fr

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Application Deadline: 10 February 2010

Starting Date: 1 August 2010

Career Details: 
The position includes teaching, primarily at basic- and advanced level in statistics within the field of social science, research and administration. Teaching duties includes supervision of PhD students and being responsible for and administrating entire courses.

The duties also include to be updated on the developments in the subject field and the relevant developments in the surrounding society. This will include participation with the process of internationalization.
Consultancy service, primarily within the field of social science, might be included.

For further information, see
http://www.personalavd.uu.se/ledigaplatser/2994unlekt_eng.html

Contact information:
Rolf Larsson
Dept of Statistics, Uppsala University
rolf.larsson@statistik.uu.se

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Application Deadline: 4 December 2009

Starting Date: 16 August 2010

Career Details: 
Arizona State University
An Equal Opportunity/Affirmative Action Employer

3 Tenure-Track or Tenured Positions

The School of Mathematical & Statistical Sciences (SoMSS) at Arizona State University (ASU) invites applications for tenure-track or tenured positions at any rank beginning in the Fall semester of 2010. Applicants are required to have a Ph.D. in the mathematical or statistical sciences, or in a related field, by August 10, 2010. We anticipate filling three positions. One position is in probability or statistics, one is in core mathematics, and one is open in terms of fields. SoMSS has a strongly interdisciplinary oriented research profile that includes numerous collaborations inside and outside the university, such as in the social sciences, education, physical sciences, engineering, biological sciences, environmental sciences, and medicine. We seek candidates whose research complements that of faculty in the School and/or other academic units at ASU that interface with mathematics. This may warrant an interdisciplinary or joint appointment. ASU has several initiatives that relate to the mathematical and statistical sciences, such as the Biodesign Institute, energy, sustainability, and climate.

Required Qualifications: 
We seek outstanding candidates who will become nationally and internationally recognized leaders in their fields. Candidates at the assistant professor level must also have demonstrated potential for excellence in research and teaching at all levels. Candidates at the tenured associate professor or full professor level must have demonstrated excellence in research and teaching at all levels, and should have experience advising graduate students, The successful candidate will be expected to conduct research and publish in the mathematical sciences or its applications, provide quality teaching of undergraduate and graduate courses, and participate in on-campus interdisciplinary activities and appropriate professional service.

Applications must be submitted online through http://www.mathjobs.org, where full ads for each position may be found.
All applications must include the following:
1) a curriculum vitae; 2) a personal statement addressing their research agenda; 3) a statement of teaching philosophy and 4) a completed AMS Standard Cover Sheet form.

At least four letters of recommendation must also be submitted at this site, including one that addresses teaching. A background check is required for employment.

The initial deadline to apply is December 4, 2009 at 5:00pm in Arizona; if not filled, weekly thereafter until the search is closed. Arizona State University is an affirmative action, equal opportunity employer committed to excellence through diversity. Women and minorities are encouraged to apply. The title IX statement can be viewed at: https://www.asu.edu/titleIX/.

Applications:
All applications are to be submitted through http://www.mathjobs.org.

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Application Deadline: 31 January 2010

Starting Date: July 1, 2010

Career Details: 
The Department of Mathematics and Statistics in the College of Arts and Science at the University of Saskatchewan invites applications for a tenure-track position in the area of Statistics (code: ST10) at the Assistant Professor level effective July 1, 2010.

Required Qualifications: 
The Department is seeking candidates with established accomplishments and outstanding promise of further research productivity in Sampling Theory with a special interest in Spatial Statistics. In addition, the candidate should have a strong interest in collaborating with other academic units on campus. Such projects could include for example modeling the geographic distribution of disease, of animal habitat, of human social behavior, of environmental risks etc. The University of Saskatchewan has many colleges, departments and research groups that would value and benefit from this activity. Applicants must have a doctoral degree in Statistics and demonstrate excellence or promise of excellence in teaching mathematical and applied statistics courses at all levels. Accreditation by a national statistical organization will be considered an asset. The successful candidate will be expected to develop a vigorous, externally-funded research program and to supervise graduate students. For more information on the Department of Mathematics and Statistics, its research activities, and details about this position, please see the Department's website at http://math.usask.ca/.

Application material must include the candidate's Curriculum Vitae and list of publications. Applicants should also arrange for at least three letters of reference to be sent directly from their referees. At least one letter of reference should include detailed comments on the teaching abilities of the applicant. Candidates are also encouraged to supply a research statement and a teaching statement. Candidates must include a cover letter specifying that they are applying for position code ST10 and must indicate if they are Canadian citizens or permanent residents.

Applications:
All material should be sent preferably by email as PDF files to:
mathstat_search_ST10@math.usask.ca

or alternatively to:

Dr. Raj Srinivasan, Head
Department of Mathematics and Statistics
University of Saskatchewan
106 Wiggins Road
Saskatoon, SK S7N 5E6 Canada
Phone: 306-966-6081
Fax: 306-966-6086

Closing date for receipt of applications is January 31, 2010.

Contact information:
Dr. Raj Srinivasan, Head
Department of Mathematics and Statistics
University of Saskatchewan
106 Wiggins Road
Saskatoon, SK S7N 5E6 Canada
Phone: 306-966-6081
Fax: 306-966-6086
Website: http://math.usask.ca/
mathstat_search_ST10@math.usask.ca

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Application Deadline: 15 January 2010

Starting Date: 1 September 2010

Career Details: 
The Department of Information Systems and Decision Sciences at ESSEC Business School invites applications for a full-time faculty position (Associate/Full Professor) in Statistics or Econometrics.

ESSEC is a leading European business school (a French “Grande Ecole”), with two campuses, in the Paris metropolitan area and in Singapore. It offers mostly graduate level training in business administration (MBA, Executive MBA, Specialized Masters, PhD). In 1997, it became the first AACSB accredited business school outside North America. The MBA program was ranked seventh in the world by the Wall Street Journal in 2007 and its Master in Management fifth in Europe by the Financial Times over 2007-09.
Details about ESSEC and the Department can be found at www.essec.edu.

Required Qualifications: 
To be considered, candidates should hold a Ph.D. (or equivalent) in Statistics (e.g. Mathematical Statistics, Actuarial Science…) or in a field related to Econometric Theory (Econometrics, Finance…), and show evidence of excellence both in research and in teaching.

Support to research is key to ESSEC policy and faculty members enjoy a very favorable environment. Salaries are competitive on a European level.

Rank of appointment and salary will be commensurate with qualifications and experience. Candidates will have the opportunity to teach at MBA, Master or PhD levels.

Contact information:
Candidates should send a cover letter, a complete vita, and sample copies of their research (published or working papers) to:
Diane Rosalie, Administrative Assistant
Department of Information Systems and Decision Sciences
ESSEC Business School
Avenue Bernard Hirsch
BP 50105
95021 Cergy-Pontoise Cedex

Preferably, please send applications via email only to: stats@essec.fr

For further information on academic matters at ESSEC, prospective
candidates are invited to contact Prof. Kratz (kratz@essec.fr).

JEL Code: C

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