DSS News
[news archives]- The BEST Award for Student Research 2009 Statistical Science PhD student Hao Wang is the recipient of the
2009 BEST Award for his research on "Sparse Seemingly Unrelated
Regression Modelling: Applications in Econometrics and Finance".
Statistical Science PhD student Jouchi Nakajima received an honorable mention for his research on "Bayesian Analysis of GARCH and Stochastic Volatility: Modeling Leverage, Jumps and Heavy-Tails for Financial Time Series".
For full details, pictures and papers, visit the BEST 2009 web page
- Assistant Professor of the Practice
The Department of Statistical Science invites applications for faculty appointment at the level of Assistant Professor of the Practice to begin in Fall 2010. This position is a regular rank faculty with a term renewable appointment. Preference will be given to candidates demonstrating outstanding teaching and strong interests in developing a new and growing undergraduate major. Complementary interests in Bayesian statistical science research and collaboration will also be considered.
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 educational program (graduate and undergraduate) 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. More information about the Department is available at the Statistics web site.
All applicants should provide a letter, curriculum vitae, personal statement, and three reference letters. All materials should be submitted online at Academic Jobs Online. For inquiries and e-mail correspondence please write to dalene@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 Employment Opportunity/Affirmative Action employer. The department is committed to increasing the diversity of its faculty, and we strongly encourage applications from women and underrepresented minority candidates.
- Positions for Postdoctoral Research Associates in Statistical Methods and Computation for Immunological Applications
Two positions for postdoctoral research associates in statistical methods and computation for immunological applications are available at Duke University. These positions are available immediately and will be filled as soon as possible.
Postdoctoral research associate (RA) in statistical science
Bayesian methods and advanced Bayesian computation for structured mixture modelling. (NIH - ARRA RC1 funding)Appointment will be to the Department of Statistical Science, working with Mike West and his research group in development and implementation of structured mixture models for high-dimensional variables and very large data sets. Applied contexts are those of structure identification and discrimination in studies immune monitoring and immunotherapy applications in vaccine research, infectious disease and cancer, using huge data sets generated by flow cytometry technologies. The RA will join an interdisciplinary team of researchers and students in statistical science, computational biology and clinical sciences, working together to develop statistical models and software for flow cytometry data analysis.
The RA will be involved in theory and methods developments related to hierarchical mixture modelling and Bayesian analysis, and implementation of MCMC and Bayesian EM methods including aspects of parallel and multi-core computation. Candidates should have a PhD in statistics or closely related discipline, knowledge and experience in Bayesian methods and computation, strong computational orientation and programming skills, and interests in biological applications.
This position is available immediately and will be filled as soon as possible. Appointment will be made on a renewable, one-year contract with the expectation of a two-year term.
Applications should be submitted by email only (as pdf attachment) to tameka@stat.duke.edu. Applicants should arrange for 3 letters of recommendation to be emailed to the same address.
Duke University is an Equal Opportunity/Affirmative Action Employer and Educator
Postdoctoral research associate in computational statistics for flow cytometry.
(NIH - ARRA RC1 grant funding)The department of Biostatistics and Bioinformatics at Duke University Medical Center has a postdoctoral research associate (RA) position open in computational statistics for flow cytometry. Flow cytometry is an advanced technology assay for measuring individual cell phenotype and function, and is critical for immune monitoring and immunotherapy applications in vaccine research, infectious disease and cancer. The RA will join an interdisciplinary team of researchers and students in computational biology, statistics and clinical sciences working together to develop statistical models and software for flow cytometry data analysis.
The RA roles include the management and analysis of cancer and HIV data sets, as well as working with our collaborators in statistics to develop an open source software suite for Bayesian machine learning in flow cytometry. Candidates should have a PhD in Computational Biology, Bioinformatics, Computer Science or related technical field, and strong programming skills in Python and C/C++. Knowledge of databases and a biological background are desirable but not necessary. The successful candidate will be expected to interact with experimentalists and clinicians, and to have a strong interest in learning the relevant biology.
This position is available immediately and will be filled as soon as possible. Appointment will be made on a renewable, one-year contract with the expectation of a two-year term.
Please submit a cover letter (including a brief statement of interest), CV, and contact information for 3 references to Dr. Cliburn Chan, cliburn.chan@duke.edu.
Duke University is an Equal Opportunity/Affirmative Action Employer and Educator
- Postdoctoral Associate in Bayesian Statistics
The Department of Statistical Science at Duke University is inviting applications for a Postdoctoral Associate to work on Bayesian methods for massive dimensional predictors, with an emphasis on applications to studies of gene-environment interactions and complex phenotypes. Some areas of particular interest include random and nonlinear projections for dimensionality reduction, sparse latent factor models and Bayesian nonparametrics. The ideal candidate will hold a Ph.D in statistics or a related field and will have a very strong theoretical and computational background. This research will focus on advancing the theory and methods available for massive dimensional predictors, with an emphasis on practically useful methods that can be applied broadly by non-statisticians.
Applicants should email their CV, a brief statement of their background and interests and contact information for at least three references to:
David Dunson, Professor
Department of Statistical Science
Duke University
dunson@stat.duke.edu - Assistant Professor Position 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. For inquiries and e-mail correspondence please write to here. 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.
- Visiting Faculty Positions The Duke University Department of Statistical Science invites applications for Visiting Faculty positions 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 Statistics and Applied Mathematical Sciences Institute (SAMSI) and the National Institute of Statistical Science (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 submit a letter, curriculum vitae, and the names of three references at Academic Jobs Online. For inquiries and e-mail correspondence, please write to Dalene Stangl, Associate Chair. The application pool will remain open until the position is filled but screening will begin on 15 January, 2010.
Duke University is an Equal Opportunity/Affirmative Action Employer. Applications from women and minorities are strongly encouraged.
- Duke Statistics Alumni Network Web Site and Newsletter The first issue of the Duke Statistics Alumni Letter is available on the Duke Statistics Alumni Network homepage. The Alumni Network home page is available via a link at the bottom of the Duke Statistics homepage.
- Jared Niemi among winners for 2009 Student Paper Competition Jarad Niemi , who will graduate PhD in May, is one of the winners of the 2009 Student Paper Competition run by the Section on Bayesian Statistical Science of the American Statistical Association. Jarad will present his winning paper, entitled Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-Linear State-Space Models, at the Joint Statistical Meetings in Washington DC in August this year, and receive a certificate and $1000 award at the SBSS social/business event at the meeting.
- Bayesian analysis and systems biology A recent paper demonstrating detailed application of Bayesian factor analysis in cancer systems biology has been selected for invited commentary. The abstract of the full commentary article reads: "Systems biology promises to personalize medicine via network-based biomarkers that predict therapeutic effectiveness. Toward this goal, Chang et al. (2009) recently introduced a systems-based approach to break down oncogenic signaling networks into modules that predict the effectiveness of pathway-specific therapeutics"
- 2009 BEST Award for Student Research The 2009 BEST Award competition is open and will receive submissions from eligible Duke students up until the September 30th 2009 deadline. The Award will be announced and made at a ceremony in late October 2009. For full details of the Award see the BEST Award web site.