Open Positions

• January 29, 2010 - Faculty Position Available in Statistics

  The Department of Statistics, Pontificia Universidad Católica de Chile, announces the opening of one tenure-track position at the Assistant Professor level, beginning August 2010 or March 2011. Candidates should have a doctoral degree in Statistics or a related field and exhibit research potential and a commitment to teaching. Appointees will be expected to pursue a vigorous research program and to teach three undergraduate/graduate courses (only two during the first two years). This position is financed by MECESUP grant PUC0802. For more information see www.mat.puc.cl.

  The Department of Statistics is the leading research group in Chile and offers an undergraduate career, a Master's, and a Ph.D. in Statistics. The Pontificia Universidad Católica de Chile is a highly selective institution and its students are among the top 5% in the country.

  Email letter of application, including a statement of research interests, and curriculum vitae with publication list to stats2010@mat.puc.cl. Send at least three letters of reference, relevant reprints/preprints, and transcripts to

  Director
  Departamento de Estadística
  Pontificia Universidad Católica de Chile
  Casilla 306, Santiago 22, Chile.
  

  For full consideration, complete application materials must arrive by April 30, 2010.

• January 28, 2010 - Market Microstructure Analyst, Barclays Capital

  The equity trading quantitative analytics team is responsible for the research and development for the equities electronic trading products and portfolio analytics. On the execution side, this research covers the execution algorithms, smart order routing, and dark liquidity crossing network. Our portfolio analytics platform includes quantitative diagnostics, risk analysis, optimization and the development of execution strategies. The position will conduct original empirical research in market microstructure in support of the indicated business lines. The successful candidate is also expected to engage in product development, client support and publication in journals related to quantitative finance.

  Requirements:
  

     Ph.D. in Econometrics, Finance or Statistics
     Extensive knowledge of econometrics
     Completed research in empirical market microstructure
     Experience with software development in C, C++, C# or Java
     Experience with handling large tick data files
     Superior verbal and written communication skills, including presentations
  

  We have a very strong preference for researchers with experience in applying state-of-the art Bayesian models.

  This is a full-time position within the Equity Products division in New York. The estimated closing date is March 27, 2010.

  Applicants must apply online at www.barcap.com using job reference number 22419, or try this link.

• Oct 1, 2009 - Postdoctoral Training in Bayesian Genomics The Informatics and Mathematical Modeling Department of the Technical University of Denmark in Copenhagen funds every year 5 to 10 PhD students.

  Several PhD subjects are currently available in the following areas: Spatial statistics, Bayesian modeling, Computational statistical methods, R packages development with applications in genetics, ecology and environmental sciences.

  The monthly gross salary offered varies between 4100 and 5300 euros depending on experience. (net salary = gross salary minus 17% pension contribution minus 46% taxes).

  The deadline for application is March 2010. Students interested by one of these topics should contact Gilles Guillot (gigu@imm.dtu.dk) with a detailed cv (with grades obtained in the last 2-3 years) several months before the deadline.

  Related pages: IMM Overview, IMM Education, Guillot, PhD & Postdoc Positions.

• Sep 15, 2009 - Faculty Position at Duke University

  The Department of Statistical Science invites applications for faculty appointment at the level of Assistant Professor to begin in Fall 2010. Preference will be given to candidates whose core statistical science research interests are complemented with collaborative research interest in systems biology, neurosciences, social sciences, or environmental science.

  The Department of Statistical Science is an internationally recognized center of excellence for research and education in the development and application of contemporary statistical methodology. Particular emphasis is directed toward Bayesian modeling in many scientific fields as well as emerging computationally intensive methods. The Department offers outstanding computational facilities and opportunities for interdisciplinary research. It currently has 14 regular rank faculty along with 14 visiting, adjunct, and post doctoral faculty and 35 Ph.D. students.

  The Ph.D. program as well as the Department's research agenda benefit from strong connections with the Statistical and Applied Mathematical Sciences Institute (SAMSI) and the National Institute of Statistical Sciences (NISS), both located nearby in the Research Triangle. A Statistical Science major, started in Fall 2007, provides the primary focus of our undergraduate program. More information about the Department is available at the web site http://www.stat.duke.edu.

  All applicants should provide a letter, curriculum vitae, personal statement, and the names of three references. All materials should be submitted online at Academic Jobs Online (https://academicjobsonline.org/ajo). For inquiries and e-mail correspondence please write to search@stat.duke.edu. The application pool will remain open until the position is filled but screening will begin on 1 December, 2009.

  Duke University is an Equal Opportunity/Affirmative Action Employer. Applications from women and minorities are strongly encouraged.

• Sep 15, 2009 - Visiting Faculty Positions at Duke University

  The Department of Statistical Science invites applications for Visiting Faculty positions beginning Fall 2010. Candidates must have a PhD in statistics and potential for success in teaching and collaborative research. Submit a letter, CV, and names of three references at Academic Jobs Online (https://academicjobsonline.org/ajo). Send inquiries to Dalene Stangl, Associate Chair (dalene@stat.duke.edu). Applications accepted until positions are filled. Screening begins on 15 January, 2010. Women and under-represented minorities are encouraged to apply. Duke University is an Affirmative Action/Equal Opportunity Employer.

• May 4, 2009 - Postdoctoral Training in Bayesian Genomics

  Scientific breakthroughs from genome-sequencing projects brought the realization that reliable interpretation of the resulting information makes unprecedented demands for innovations in statistical methodology and its application to biological systems. This unique opportunity drives research at the Statistical Inference and Computation in Genomics Laboratory of the Ottawa Institute of Systems Biology. The Statomics Lab (http://www.statomics.com) seeks a postdoctoral fellow who will collaboratively develop and apply Bayesian methods of statistical inference to attack current problems in analyzing transcriptomics, proteomics, metabolomics, lipidomics, and/or genome-wide association data.

  A thorough knowledge of Bayesian theory is essential, as is the ability to quickly develop reliable software for approximating posterior distributions using complex models. Strong initiative, excellent communication skills, and reception of a PhD or equivalent doctorate in biostatistics, statistics, or a closely related field within the four years prior to the start date are also absolutely necessary. The following qualities are desirable but not required: expertise in one or more methods of frequentist inference; a working knowledge of biology; familiarly with R, S-PLUS, Mathematica, C, Fortran, and/or LaTeX; experience in a UNIX or Linux environment.

  To apply, send a PDF CV that has contact information of three references to dbickel0@uottawa.ca (without the zero), with "Bayesian Genomics" and the year of your graduation or anticipated graduation in the subject field of the message. In the message body, concisely present evidence that you meet each requirement for the position and describe your most significant papers and software packages with summaries of how you contributed to them. All applicants are thanked in advance; only those selected for further consideration will receive a response.