Department: Computer and Information Science
Rank: Postdoctoral Scholar
Annual Basis: 12 Month
Review of Applications Begins
July 1, 2022; position open until filled.
Special Instructions to Applicants
Along with your online application, please upload a copy of your CV, a cover letter, and a research statement. As part of your application, you will also be asked to provide names and contact info for three references.
The Computer and Information Science Department in the College of Arts and Sciences at the University of Oregon offers BS, MS, and Ph.D. degrees in Computer and Information Science. Instruction is provided by 16 tenure track faculty, 2 emeritus faculty, and 6 career instructor faculty. The department serves approximately 600 undergraduate and 90 graduate majors and offers a number of general education classes in the discipline. The primary research foci of the tenure track faculty are high-performance computing, data science, networking, and distributed systems with cross-cutting concerns of security and privacy.
The postdoc position will conduct research in high-performance computing techniques for numerical partial differential equations (PDEs) and their use in large-scale earthquake simulations in complex fault networks. The postdoc will develop the computational infrastructure for a 3D code based on finite-difference methods, integrating GPU acceleration with advanced techniques in numerical linear algebra. The ideal candidate will have experience in the following areas:
• high-performance computing for PDEs
• experience developing optimized GPU kernels
• The ideal candidate will also have experience in some of the following areas:
• finite difference and/or finite element methods
• computational earthquake seismology (fault friction and earthquake dynamics)
• large-scale numerical linear algebra techniques
In addition, the candidate will conduct interdisciplinary research, exploring science questions spanning topics in both applied mathematics and earthquake seismology.
The successful candidate will have the ability to work effectively with faculty, staff, and students from Earth sciences, applied mathematics, and computer science. They will have opportunities to mentor graduate students and integrate student contributions to code development, leading the charge in the creation of a publicly available, HPC-enabled code 3D code for earthquake applications.
• Ability to work collaboratively and effectively as part of a team.
• Willingness to accept direction and feedback.
• Ability to collect, document and organize data for analysis.
• Commitment to promoting a work environment that embraces and appreciates diversity.
• Ph.D. in Computer Science, Mathematics, Geophysics, or a related field is desirable.
• Experience in HPC and numerical PDEs.
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