Monthly Archives: April 2018

NIST-funded COE for Community Resilience: Webinar

Community Recovery Webinar Announcement

Thursday, May 3, 10:00 AM – 12:00 PM (CDT)

In this Community Recovery Webinar learn more about the NIST-funded Center for Risk-Based Community Resilience Planning and how the Center’s research is progressing to models of community recovery and to field studies.

Webinar Link: www.youtube.com/watch?v=sdGW7St1Ayk

A resilient community is prepared for and can adapt to changing conditions and can with stand and recover rapidly from disruptions to its physical, economic, and social infrastructure. Modeling community resilience for purposes of risk-­‐informed decision requires a collaborative effort by experts in engineering, economics, social sciences, and information sciences to explain how community systems interact and affect recovery efforts. Over the last three years, Center researchers have been working on fundamental research on hazard characterization, models of physical, social and economic systems, damage and losses following hazard events, recovery of community systems, and optimization of alternative options to improve resilience – all at the community-­‐scale.

Join this community recovery webinar to learn more about the Center’s recent activities. A brief introduction of the Center and a recap of the past webinars and the Center’s research accomplishments will be followed by two presentations. The first summarizes the interdependent physical, social, and economics models of communities being developed. These include physics-­‐based models of networks and buildings, combined with computable general equilibrium models and population dislocation models, which are presented within the context of several testbed communities. The second presentation explains the approaches being used within the Center to model housing recovery in a testbed community, followed by integrated data sampling techniques developed for the Center’s longitudinal resilience field study of Lumberton, NC. The latter highlights the integration of social science and engineering data collection techniques to better inform community resilience models.

Additionally, the webinar will have an open Q&A “chat” session at the end.

Center information and past webinars are available at: www.youtube.com/watch?v=eyjzCDxcdSA&feature=youtu.be

More center information is available at our website: resilience.colostate.edu/index.shtml

 

Noble Research Institute Summer internship

Undergrad Summer Internship at Noble Research Institute

Job: Computing Services Data Intern 

Overview

The Noble Research Institute LLC is accepting applications for an intern in the Computing Services Solutions team for the summer of 2018.  The position is located in Ardmore, OK and is geared toward undergraduates in Analytics, Computer Science, or other related STEM work.

This internship will also provide experience in the daily operations of the solutions team, including assisting with organizing and addressing data formatting and quality issues with spreadsheets; assisting with profiling data sets using SQL queries and other data profiling tools; assisting with data points to be cleaned in source systems; assisting with researching, comparing, and experimenting with data technology products; assisting with written summaries for review; assisting with data modeling and data extraction, transformation, and loading pipelines and help in developing reports and visualizations.

Duration: Approximately 12 weeks during the summer of 2018.

Hourly Rate: This Intern position will earn $12-14 per hour (subject to federal and state income tax withholding). The Intern will work 40 hours per week for up to 12 weeks.

Qualifications:

The successful candidate must:

  • Be enrolled in an undergraduate degree program in a college or university within the United States, with such program resulting in the award of a baccalaureate.
  • Have completed his/her sophomore year at the time the internship begins (at least 60 credit hours) with a declared major in Computer Science, MIS, Data Analytics, or related STEM field of study with appropriate fundamental coursework completed.
  • Be legally authorized to work in the United States (for any employer) and WILL NOT require employment visa sponsorship for this internship; and
  • Be capable of working 40 hours per week for 12 weeks. The intern will work in Ardmore, Oklahoma during the program.

Application Submission:

For the online application, please visit www.careers-noble.icims.com. Position ID: 2018-1490

See the flyer for more details:  NRI Summer Internship Opportunity

 

 

 

Open Positions for Fall 2018: PhD level teaching/research assistantships

University of Oklahoma

Open positions

PhD-level teaching/research assistantships

The School of Industrial and Systems Engineering at the University of Oklahoma has multiple PhD-level teaching and research assistantships available for the Fall 2018 semester.

In the School of ISE, we are focusing on applying methods from analytics and systems engineering to problems in (i) Cyber-Physical-Social Systems and (i) Health and Medical Systems, and opportunities exist in both of these application domains.

From the Interim Director, Dr. Shiva Raman: “Industrial and Systems Engineering at OU is a dynamic program that maintains great balance between research and teaching. Our faculty have been consistently recognized as outstanding teachers and have received many awards for excellence in teaching. Our faculty have received several grants from external agencies including the National Science Foundation, the Federal Aviation Administration, the Department of Defense, the Department of Transportation, NIST, and NASA. Faculty publications appear in leading journals in the areas of Operations Research, Risk and Reliability, Human Factors, and Manufacturing. The School of ISE provides our students with cutting edge laboratories and other resources to lead them to successful professional careers. Our most recent Ph.D. graduates have found employment at prestigious academic programs as Iowa State University, Texas A&M University and Vanderbilt University. We are very proud of the accomplishments of our Industrial and Systems Engineering family.”

Follow this link for more information regarding admission to the school: http://www.ou.edu/coe/ise/admission.html