Category Archives: Undergraduate research
Research Travel Support Competition
Summer Research Internships in India
Student Paper Competition – ASA Stat Learning Data Mining Section
Request for Graduate and Undergraduate Research Assistants
Illinois Business Consulting
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Research Park Student Open House
GRAD/UNDERGRAD PRESENTATION OPPORTUNITY
The American Association for the Advancement of Science (AAAS) is providing an opportunity for students to present their work in poster sessions at its annual meeting in Chicago February 13-17, 2014 (http://meetings.aaas.org/). Full-time undergraduate and graduate students are eligible to apply; if selected to present a poster, students will be able to have the meeting registration fee waived by serving as AAAS Meeting Session Aides and will be eligible to apply for travel funding. Details are in the attached flyer; the deadline for submission of poster abstracts is October 24, 2013.
Students and their advisors are urged to take advantage of this unique opportunity to highlight statistical research and its role in interdisciplinary science at the annual meeting of the world’s largest general scientific society. AAAS publishes the highly respected journal Science and is organized into 24 Sections representing all areas of science, including Section U (Statistics), which celebrated its 50th anniversary last year.
Thank you for your help.
Marie Davidian, President, American Statistical Association
Sally Morton, Chair, AAAS Section U (Statistics)
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Marie Davidian
2013 President, American Statistical Association
Professor
Department of Statistics
North Carolina State University
davidian@ncsu.edu
http://www4.stat.ncsu.edu/~davidian/
International Year of Statistics
www.statistics2013.org
Please send correspondence concerning Biometrics to biometrics@tibs.org.
(http://www.biometrics.tibs.org/)
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Office of Undergraduate Research Travel Grant Competition
Stat and CS opportunity with John Deere
John Deere at Research Park is interested in statistics students looking for part-time employment who would be available to start soon and work at least through December 2014. The opportunity is similar in concept to a year-round internship, but it’s a “Research Assistant” position at Deere rather than part of John Deere’s intern program. They are looking for someone with a combination of Statistics and CS skills, so they can manage our Linux cluster and help us figure out how to work with Apache Hadoop database and statistics packages like Hive, Hbase, Mahout, RHIPE (Purdue) and maybe BigR (Adatao) to analyze our data.
This would be part-time employment throughout the calendar year, averaging 20 hours per week (more in the summer and less during the semesters). R and data mining experience are very important to this role, so grad students (or upper-level undergrads with R and data mining experience) would most likely be the best candidates. Preference will be given to students they have a chance of hiring after graduation, and international candidates would be considered.
Additional details are included below. Contact Andy Stevens at StevensRobertA (at) JohnDeere.com if interested.
Responsibilities:
· Manage telematics data collected from farm research studies
· Process and statistically analyze telematics data from agricultural equipment to quantify work performed and discover insights
· Create reports and presentations of statistical analysis
Basic Qualifications:
· Pursuing Bachelors Degree in Statistics and/or Computer Science
· Coursework in statistical analysis and programming
· Experience statistical graphics, statistical model building, and data mining with the R statistical programming language
· Experience in Linux and Linux cluster system administration
· Ability to write and execute scripting programs to automate workflow
· Ability to use Microsoft Office projects Word, Excel, and PowerPoint to document and communicate results
· Quick learner eager to explore new approaches to speed up routine analysis and apply new, insightful analysis methods
Preferred Qualifications:
· Pursuing MS or Doctorate in Statistics and/or Computer Science
· Advanced knowledge of data mining and machine learning using the R statistical programming language
· Knowledge of Apache Hadoop and associated packages for databases and statistics
· Experience managing databases and writing SQL queries
· Knowledge of Geographic Information Systems (GIS)
· Knowledge of agriculture and agricultural equipment