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Postings

Color Code: Articles Awards Jobs Meetings Miscellaneous
Date Submitted by Type Link (opens in new window)
July 5, 2017 K-le Gomez Cabrera Postdoctoral Research Fellow in Quantitative Ecology

Postdoctoral Research Fellow in Quantitative Ecology at Unversity of Queensland, Australia

We are seeking candidates with postdoctoral research interests in the long-term ecological dynamics of biological communities. The successful applicant will conduct empirical research into understanding the long-term ecological dynamics of reef coral communities using multiple large data sets at multiple temporal scales. As part of the Marine Palaeoecology Lab in the School of Biological Sciences and the ARC Centre of Excellence, the position duties are primarily related to the implementation of novel quantitative techniques applicable to time-series data that test fundamental ecological hypotheses in community ecology. To apply follow the link below:

http://jobs.uq.edu.au/caw/en/job/500700/postdoctoral-research-fellow-in-quantitative-ecology

Feb 9, 2017 Yulia Gel The SIAM SDM2017 Workshop on Mining Big Data in Climate and Environment (MBDCE) Link

The SIAM SDM2017 Workshop on Mining Big Data in Climate and Environment (MBDCE) at the 17th SIAM International Conference on Data Mining (SDM 2017) April 27 - 29, 2017, Houston, Texas, USA.

The SIAM SDM2017 Workshop on Mining Big Data in Climate and Environment (MBDCE) will be held April 27 - 29, 2017, Houston, Texas, USA, in conjunction with the 17th SIAM International Conference on Data Mining (SDM 2017).

This workshop aims to bring together researchers who are interested in addressing related environmental concerns by advancing the state of the art in spatio-temporal analytics. For more information: https://sites.google.com/a/umn.edu/mbdce-2017/home

There will be 3 types of submissions: full papers with complete studies (9pp.), short papers on work in progress (5pp.), or position papers (3pp.). All papers will be peer-reviewed.

Important Dates

  • Submission due: February 20, 2017
  • Author notification: March 15, 2017
  • Camera-ready copy: March 29, 2017
  • Workshop date: April 29, 2017
Jan 6, 2017 Leticia Ramirez VII International Workshop on the Perspectives on High-Dimensional Data Analysis Link

The Seventh International Workshop on the Perspectives on High-Dimensional Data Analysis (HDDA-VII) will be held on

June 15 (Thursday) – 20 (Monday), 2017 at CIMAT, Guanajuato, Mexico.

The purpose of this workshop is to foster the interaction of researcher in the area of high-dimensional data analysis and stimulate research. The areas of research that are consider, analyses environmental data, epigenomic data, genomic data, proteomic data, high-resolution image data, high frequency financial data, functional and longitudinal data, and network data, for example. The workshop provides a venue for participants to meet leading researches of this field in an intimate setting, providing maximal chance for interaction and discussion. The objectives include:

This workshop is the 7th in a sequence of workshops on the Perspectives on High-dimensional Data Analysis that took place in:

  • HDDA-I, Fields Institute, 2011
  • HDDA-II, Centre de Recherches Mathématiques, 2012
  • HDDA-III, University of British Columbia, 2013
  • HDDA-IV, Banff International Research Station, 2014
  • HDDA-V, University of Victoria, 2015
  • HDDA-VI, Fields Institute, 2016

The HDDA workshops are well established and have involved many of the most eminent researchers working in the area. This 7th installment is for the first time taking place in Mexico and expected to be as successful as it predecessors.

Now call for organizing mini-symposia, contributed presentation and posters are open.

A limited number of shared accommodations are available for students.

More information at http://hddavii.eventos.cimat.mx/

Dec 14, 2016 Leticia Ramirez Tenure Track position in Statistics at CIMAT, Guanajuato, Mexico

The Department of Probability and Statistics at CIMAT is welcoming applications towards a tenure-track position in the area of Statistics, broadly understood, beginning July, 2017to July, 2018.

Applications should be submitted by January 15, 2017.

http://www.cimat.mx/en/statistics_and_probability
http://www.cimat.mx/es/Probabilidad_y_estadistica

The research areas of interest in the Department in recent years have been: Statistical Inference, Computational Statistics, Inference in Topological Data Analysis, Statistics for Random Networks, Natural and Social Sciences, Reliability, Time Series, among others. Outstanding candidates in the area of statistics interested in these topics or others that would complement or enhance them are desired.

Preference will be given to candidates with excellent accomplishments in research in these areas or with outstanding potential, with no more than 15 years from graduation. The candidates must be pursuing a vigorous research career that will yield major contributions within the next few years, going beyond the doctoral dissertation. Excellent teaching abilities (in English or Spanish) and inclination to mentoring students of diverse backgrounds are also desirable.

Applicants should submit the following information:

  • cover letter,
  • curriculum vitae,
  • list of publications,
  • a statement describing current and planned research for the next three years,
  • at least two letters of recommendation, they should be sent directly to rivero@cimat.mx.

These must be sent to Dr. Victor Rivero (rivero@cimat.mx), Chair of the Probability and Statistics Group, CIMAT, via email in pdf format. Applications will be accepted and reviewed until the available positions are assigned.

Sep 14, 2016 Douglas Woolford Postdoctoral Fellow in Joint Spatio-temporal Modelling

The Department of Statistical & Actuarial Sciences at the University of Western Ontario (located in London, Ontario, Canada) invites applications for a Postdoctoral Fellow to develop and apply new tools for the joint modelling of complex spatio-temporal data for environmental and other processes, with an emphasis on applications in wildland fire (wildfire) science and management and biostatistics, to be conducted under the supervision of Dr. Douglas Woolford and Dr. Charmaine Dean.

This is a one-year (12 month) position with the possibility of renewal for up to two more years. Start date is negotiable.

The stipend for this position is $55,000 per year.

Applicants should have a doctoral degree in statistics and be interested in performing research in data-driven statistical methods and their novel application. Other required qualifications include expertise using R, demonstrated research abilities in statistics and/or environmetrics, and good communication and presentation skills. Candidates with a background in one or more of the following areas will be preferred: point processes, spatial statistics, spatio-temporal statistics, joint modelling, smoothing methods, and/or survival analysis. The work will be interdisciplinary and conducted in collaboration with researchers from other disciplines and researchers at a variety of government agencies. Consequently, experience and/or an interest in wildfire science and management and in applications generally is also important.

Candidates should submit a letter of intent, curriculum vitae, examples of publications and names and contact information for three references to

Dr. Douglas Woolford
Department of Statistical & Actuarial Sciences
University of Western Ontario
WSC262-1151 Richmond St
London, ON, Canada, N6A 5B7
Email: dwoolfor(at)uwo.ca

Review of applications will commence on October 1, 2016 and will continue until the position is filled.

Feb 23, 2016 Yulia Gel International Workshop on the Perspectives on High-Dimensional Data Analysis Link

The HDDA-VI: The Sixth International Workshop on the Perspectives on High-Dimensional Data Analysis will be held on May 25 – 27, 2016 at Fields Institute, Toronto, Ontario, Canada http://www.fields.utoronto.ca/activities/15-16/HDDA. The previous annual HDDA workshops were held Toronto, ON (2011), Montreal, QC (2012), Vancouver, BC (2013), Banff, AB (2014) and Victoria, BC (2015).

The HDDA series has now become a well-established tradition and one of the most visible annual events in North America on cutting edge methodology for high dimensional data and its applications in a broad range of studies, from environmental sciences to cybersecurity to fMRI imaging. The HDDA-VI keynote speakers will be Jianqing Fan, Princeton University, USA, and Kjell Doksum, University of Wisconsin, Madison, USA.

With the sponsorship of NSF, grants for partial travel support are now available to encourage participation of the US based students, early career researchers and participants from underrepresented groups in STEM. (These groups include women, African Americans, Hispanics, Native Americans, Alaska Natives, Pacific Islanders and people with disabilities.)

Applicants should submit a CV, one recommendation letter, and a letter explaining how they will benefit from attending HDDA-VI and how receiving a travel award will help. Those letters should be emailed directly to Yulia R. Gel: ygl@utdallas.edu.

Dec 1, 2015 Marc G. Genton 3 POSTDOC POSITIONS IN STATISTICS AT KAUST

King Abdullah University of Science and Technology (KAUST ) is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the western shores of the Red Sea, KAUST offers superb research facilities together with unmatched living conditions for individuals and families. The generous social policy coupled to the top-quality research facilities have succeeded in attracting top international faculty, scientists, engineers, postdocs and students. KAUST’s fundamental goal-oriented and curiosity-driven research is employed to address the world most pressing challenges related to water, food and energy sustainability as well as their impact on the environment.

Statistics is within the Computer, Electrical, and Mathematical Sciences and Engineering Division, and part of the program on Applied Mathematics and Computational Science. The following 3 postdoc positions are available:

[1]
One postdoc position in the group of Prof. Marc G. Genton (stsda.kaust.edu.sa) to work on a new project on space-time statistical models for wind field forecasting with climate model output and high performance computing. The project is joint with the National Center for Atmospheric Research (NCAR) in Boulder, Colorado, and with Newcastle University in the UK. This postdoc is expected to visit these two institutions for joint research. Expertise in at least two of the following areas is necessary: spatial and spatio-temporal statistics; processes on spheres; multivariate computational statistics; massive datasets; parallel computing; emulators.
[2]
One postdoc position in the group of Prof. Ying Sun (es.kaust.edu.sa) to work on computational challenges in working with large spatial-temporal datasets with applications to climatology and meteorology among other areas. Specific possible projects include computation of exact and approximate likelihoods for Gaussian processes with unstructured covariance matrices, non-Gaussian process models for spatial-temporal data and spectral methods for nonstationary processes. Applicants should have experience in applications of statistics or computational mathematics to the physical sciences. Experience with manipulation of large datasets is required.
[3]
One postdoc position in the group of Prof. Ying Sun (es.kaust.edu.sa) to work on environmental modeling, functional data and space-time data analysis. In collaboration with research centers, we are particularly interested in statistical models and methods for problems in hydrology, plant science, marine science and ecology. Potential research topics include: spatio-temporal modeling of environmental problems, and characterization and comparison of space-time variability in various data products.

The successful candidates will have a doctoral degree in Statistics or relevant to the projects. Experience in interdisciplinary research is desirable and excellent programming skills are necessary.

Desired starting date for these positions is April 1, 2016, but earlier or later times can be arranged. Postdoctoral appointments are renewable annually. The expected duration is two years.

To apply, email a CV, statement of research interests, and names and contact information for two references to Marc G. Genton (marc.genton@kaust.edu.sa) for position [1] or to Ying Sun (ying.sun@kaust.edu.sa) for positions [2] and [3]. Applications are accepted until January 31, 2016 or until the positions are filled.

Dec 1, 2015 Marc G. Genton 10 VACANCIES FOR PH.D. STUDENTS IN STATISTICS AT KAUST, AVAILABLE NOW

King Abdullah University of Science and Technology (KAUST) is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the western shores of the Red Sea, KAUST offers superb research facilities together with unmatched living conditions for individuals and families. The generous social policy coupled to the top-quality research facilities have succeeded in attracting top international faculty, scientists, engineers, postdocs and students. KAUST’s fundamental goal-oriented and curiosity-driven research is employed to address the world most pressing challenges related to water, food and energy sustainability as well as their impact on the environment.

Statistics is within the Computer, Electrical, and Mathematical Sciences and Engineering Division, and part of the program on Applied Mathematics and Computational Science (AMCS). The following Ph.D. or M.S./Ph.D. student positions are available in the Statistics groups:

[1]
Four student positions are available in the group of Prof. Marc G. Genton (www.stsda.kaust.edu.sa) to work on research projects related to spatial and spatio-temporal statistics, computational statistics, massive datasets, and parallel computing, with applications mainly in environmental sciences and renewable energies.
[2]
Two student positions are available in the group of Prof. Raphael Huser (www.extstat.kaust.edu.sa) to work on research projects related to the development of models and efficient inference methods for extreme events recorded in space and/or time, such as floods, heat waves or wind gusts, and applications of Statistics of Extremes to large data problems.
[3]
Four student positions are available in the group of Prof. Ying Sun (wwww.es.kaust.edu.sa) to work on research projects related to visualization, modeling, computations and applications for space-time data and functional data, with applications to environmental sciences and engineering, including climatology, meteorology, hydrology, plant science, marine science and ecology.

Candidates should have a strong background in statistics, data science, applied mathematics, or a related field, and good programming skills (e.g., R, or Matlab, C++).

KAUST offers the assistance of highly qualified faculty members, top computational facilities and resources, a very nice campus located by the Red Sea with a multicultural community (with more than 100 nationalities represented on campus), and highly competitive compensations and benefits.

APPLY HERE by January 1, 2016 for Fall 2016 admission(select AMCS program, Statistics specialization)

Nov 30, 2015 Tenure Track Assistant Professor position

Tenure Track Assistant Professor position, Statistics, University of California, Santa Barbara

The University of California, Santa Barbara, Department of Statistics and Applied Probability invites applications for a tenure track Assistant Professor position in Statistics, starting July 1, 2016.

Qualifications: research and teaching excellence and PhD in Statistics, biostatistics or related fields. Preference will be given for research on methodology and applications relating to biometrics or environmental science.

To apply submit resume, statement of research, teaching objectives and have four letters of reference sent (at least one of which is directed towards teaching). Materials should either be submitted electronically via UC Recruit: https://recruit.ap.ucsb.edu/apply/JPF00561

Review of applications begins December 1st, 2015

and continues until the position is filled. Early applications are encouraged.

An EO/AA employer.

Additional information: http://www.pstat.ucsb.edu

Sep 9, 2015 Leticia Ramirez Research Position in the Dep of Prob. and Statistics Link

The Centro de Investigación en Matemáticas (Mathematics Research Center) in Guanajuato, Mexico, CIMAT, invites applications for a research position in the Department of Probability and Statistics, to start on August 1, 2016.

CIMAT is one of the research centers of the National Council of Science and Technology of Mexico (Conacyt) and has three departments: Mathematics, Statistics and Probability, and Computer Science. The Department of Probability and Statistics is composed of 16 full time researchers; 8 in the area of Probability, in addition to 8 in the field of Statistics, and is among the most active research teams in Latin America.

The present call invites applications for an open tenure-track position in Statistics; applicants should be researchers with a solid mathematical background and a doctoral degree in the last five years in cutting-edge areas of Statistics. Applicants must meet the following requirements to be considered for the position:

  • An academic career with scientific achievements in accordance with the length of time passed after the doctorate.
  • Mexican residents must be members of the National Researchers System (Area 1 of Mathematics, Physical sciences and Earth sciences), or have the appropriate academic training to participate in the next SNI call.
  • Foreign applicants must have a scientific production consistent with the length of their academic career. Knowledge of the Spanish language is not required for the first years.
  • Teaching experience is required within the field of expertise in order to train undergraduate, master and doctoral students.

Candidates interested in the tenure-track position must send their application to professor Victor Pérez-Abreu preferably before November 15, 2015, when the first part of the selection process begins. Please note that the call will remain open until the position is assigned. Applications must include:

  • Updated curriculum vitae.
  • A brief description of ongoing research lines.
  • A detailed working plan for the first year of the position and the lines of research considered for a three-year period.
  • At least two letters of recommendation. The letters must be sent directly to professor Victor Pérez-Abreu.
  • A possible date to start work in the position.
Feb 24, 2015 Prof Noel Cressie RESEARCH FELLOW, University of Wollongong Link

National Institute for Applied Statistics Research Australia (NIASRA)

Faculty of Engineering and Information Sciences

Fixed Term (3 Year) Appointment

The National Institute for Applied Statistics Australia (NIASRA) is one of the research strengths of the University, undertaking high quality and high-impact research, consulting, and professional education and training. There are currently 22 staff members who work in statistics, and over 16 research students. NIASRA has three connected major research themes: Environmental Informatics (led by Prof Cressie), Survey Methodology (led by Prof Chambers), and Biometrics (led by Prof Cullis) and also undertakes research in Statistical Education and Financial Statistics. Prof David Steel is the Director of NIASRA.

You will primarily undertake research associated with an ARC Discovery Project 2015, led by Distinguished Professor Noel Cressie, which may involve collaboration with researchers in other institutions and organisations in Australia and internationally. The occupant of this position will undertake various high-level research and consulting projects in statistical methodology. The position may involve a limited amount of teaching. Specific projects will include development and evaluation of statistical methods for environmental informatics, spatio-temporal data, and remote sensing.

You will have a PhD and have demonstrated a strong research potential in an area of statistics compatible with undertaking research in statistical methods for environmental informatics, spatio-temporal data, and remote sensing.

For more information on NIASRA click Link above. To apply for this position, it is essential to address the selection criteria, located within the Position Description, as part of your application. See Reference no. 25347 at http://uow.employment.com.au/

For more information on how to apply Contact: Prof Noel Cressie: +61 (0)2 4221 5168; ncressie@uow.edu.au

Applications Close: 15 March 2015

Reference number: 25347

Jan 27, 2015 Meeting Announcement Link

Just a friendly reminder only 2 weeks until StatsWeek 2015

The National Institute for Applied Statistics Research Australia (NIASRA) at the University of Wollongong will be hosting StatsWeek 2015 from 9 to 13 February on the Wollongong Campus.

StatsWeek consists of the following three courses:

Sample Design and Analysis using R

A short course with Thomas Lumley (University of Auckland)
Monday and Tuesday, 9 - 10 February
$900, $750 for SSAI members, $400 for students
This 2-day course covers sample design, weighting and methods for a wide range of exploratory analysis and modelling of data from complex surveys using the R survey package.

Spatial Sampling for Agricultural and Environmental Surveys

A short course with Roberto Benedetti (University of Chieti-Pescara, Italy) and Frederica Piersimoni (Italian National Statistical Institute)
Wednesday, 11 February
$400, $300 for SSAI members, $200 for students
This 1-day course considers a systematic approach to key sampling algorithms for the selection of spatial units, with a particular emphasis on agricultural and environmental data collection.

Modelling Group Heterogeneity via M-quantile Regression

A short course with Nikos Tzavidis (University of Southampton), James Dawber (NIASRA) and Ray Chambers (NIASRA)
Thursday and Friday, 12 - 13 February
$700, $600 for SSAI members, $300 for students
This 2-day course provides the fundamental statistical background of necessary for the use of quantile and M-quantile regression as a semiparametric, robust alternative to standard multilevel modelling.

You can register for one, two or all three courses. Please visit the NIASRA webpage and click the StatsWeek link for more information and to register online. Places are limited and registrations will be processed in the order they arrive.

Jan 26, 2015 Meeting Announcement Link

Conference missDATA2015
 

The statistic department of Agrocampus and the data mining group of the french statistical society organize the international conference on missing values and matrix completion MissData in Rennes (France) from 18 to 19 June 2015 at Agrocampus Ouest. The conference website at Link.

The objective of this conference is to spotlight the latest research in missing values and matrix completion. We aim to bring together theoretical and applied researchers from different fields of application such as in social-science, genetics, medical analysis, survey, collaborative filtering, image reconstruction, etc.

The program comprises R tutorials, invited lectures and a lively poster session during the reception. Awards will be given to up to three posters.

The invited speakers are some of the main contributors on the topic from different fields: Mouna Akacha (Novartis, Switzerland), Christophe Biernaki (University Lille 1, France), Stefan van Buuren (University of Utrecht, the Netherlands), John W. Graham (Pennsylvania State University, US), David Haziza, (Montreal University, Canada), Olga Klopp (Paris Ouest University, France), Roderick Little (University of Michigan, US), Joseph L. Schaefer (Census Bureau, Washignton, US), Shaun Seaman (Medical Research Council Biostatistics Unit, UK), Pierre Vandergheynst (EPFL, Switzerland), Recai Yucel (University Albany, US).

Early bird registration and poster submission deadline : April 1, 2015
contact email: missdata2015@agrocampus-ouest.fr

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