We are seeking a self-motivated and responsible graduate student to conduct research and development to enhance capabilities for remote, interactive and collaborative image analyses for the Digital Rocks Portal.

 

Digital Rocks Portal is a data portal for fast storage and retrieval of images of varied porous micro-structures. It has the purpose of enhancing research resources for modeling/prediction of porous material properties in the fields of Petroleum, Civil and Environmental Engineering as well as Geology.

This platform allows managing and preserving available images of porous materials and experiments performed on them, and any accompanying measurements (porosity, capillary pressure, permeability, electrical, NMR and elastic properties, etc.) required for both validation on modeling approaches and the upscaling and building of larger (hydro) geological models.

During this internship the student will work with software developers and with information and petroleum engineering scientists at TACC and at the Department of Petroleum Engineering at the University of Texas at Austin, to achieve capabilities that will allow users of the portal to visualize and conduct image analysis remotely individually or collaboratively. In the era of big data, this experience will allow students to learn about and implement fundamental imaging data visualization, sharing and analysis functions that enable data reuse. Such capabilities will be built in the context of a distributed architecture that spans various High Performance Computing Resources and technologies. Students will then have the opportunity to experiment with advanced visualization techniques, advanced image analysis methods and parallel computing.

Qualifications

Student needs to have a majority of the following skill sets:

Web programming (HTML5, Javascript, CSS)

Python

RESTful web services / AJAX

Linux

Shell scripting

Desired Qualifications

Experience with writing web applications in Django

Websockets

VNC

Experience in imaging and 3D visualization with Paraview

Interest and/or experience in parallel computing

Experience with Docker

Scholars Stipend

Participants will receive a stipend for work, travel stipend, and housing at The University of Texas at Austin.

Application & Selection

Online applications will be accepted until April 1, 2016 for priority consideration. Click here to access the online application. Selection and notification will occur no more than two weeks after the close of the application site.

Criteria for Student Application

Currently enrolled graduate student

U.S. citizenship or permanent residency

More information can be found here.