VISUALIZATION

JOB DESCRIPTION This position will join the Scientific Visualization (SciVis) group at TACC to perform research, development, and support activities involving advanced scientific visualization techniques and technologies. These activities include the design, development, and deployment of software technologies that enable researchers to analyze massive data sets using resources ranging from PCs to immersive visualization environments with terascale rendering systems. Particular emphasis for SciVis activities at TACC include large-scale data analysis and feature detection, advanced visualization hardware technologies, immersive visualization techniques, and grid-enabled visualization. This position will participate in TACC SciVis activities in the following ways: • evaluate new visualization architectures, systems, and software tools to determine future R&D activities and technologies to enhance TACC user capabilities; • initiate and conduct research and development activities, including collaborations with external researchers, to produce new visualization and data analysis techniques related to effectively handling data in the multi-gigabyte to multi-terabyte range; • obtain external funding to enhance TACC's visualization activities, expertise and resources by submitting proposals to funding agencies, industrial partners and vendors; • assist in the development, configuration, operation and support of TACC visualization facilities; • work with UT researchers and partners to utilize leading-edge visualization techniques and technologies in their computational research; • publicize the results of TACC’s SciVis computing activities through presentations at conferences and workshops, and through publications in conference proceedings and professional journals; and • perform additional tasks as needed. The candidate will be appointed to the UT title of Research Associate or Research Scientist based on qualifications. REQUIRED QUALIFICATIONS The selected candidate must have the following minimum qualifications: • Doctoral degree in computer science, computer engineering, computational engineering or similar field with specialization in scientific visualization. • Three or more years of post-doctorate experience in an academic environment. • Research experience in scientific visualization including five or more relevant publications. • Proficiency with common scientific visualization software packages such as AVS, DX, etc. • Experience in visualization application and tool software development using open GL, Mesa, etc. • Six or more years experience in using scientific visualization techniques to analyze scientific data. • Demonstrated expertise working in collaborative, interdisciplinary projects with computational scientists and engineers. • Demonstrated excellent interpersonal communication skills and professional demeanor. PREFERRED QUALIFICATIONS The following qualifications are strongly desired: • History of writing successful proposals for external funding. • Experience with parallel programming in the development of visualization applications. • Expertise in statistics and numerical analysis. • Significant coursework or other formal education in an application science or engineering discipline. • Undergraduate or graduate-level teaching experience. INSTRUCTIONS TO APPLICANTS The University of Texas at Austin is an Equal Opportunity/Affirmative Action Employer and actively seeks women and minority applicants for this position. This position is security sensitive; conviction verification conducted on applicant selected. Application requirements: go to http://utdirect.utexas.edu/pnjobs/ for complete job description and follow instructions to apply for job number 04-08-25-01-0702 using your on-line resume. For additional information about this position, please contact Janet M. McCord, jnet@tacc.utexas.edu.