$pdx edu math department$

#PDX EDU MATH DEPARTMENT SOFTWARE#

It offers growth opportunities in a nurturing atmosphere where senior faculty are invested in collaborative group building and mentoring. The department has previously leveraged large philanthropic investments to successfully recruit leading scholars in computational science. To this end, innovative training structures, seldom found in mathematics departments, are now being built at the Fariborz Maseeh Department of Mathematics & Statistics for RTG postdocs and students. This RTG specifically aims to produce researchers (a) trained in both mathematical and statistical techniques requiring advanced computational tools, (b) exposed to both disciplinary advances and real-world data, and © able to communicate both mathematically and in application-specific language. In the CADES program, trainees develop skills not solely for academia, but also for research careers in industry and government labs. NSF requires all RTG postdocs to be US citizens, nationals, or permanent residents. Candidates whose doctoral research experience intersects with at least one of Areas I, II, III, and who are desirous of acquiring skills in the remaining areas, are sought.

#PDX EDU MATH DEPARTMENT SOFTWARE#

All projects involve high performance computing and open-source scientific software products.Ĭurrently, we are seeking postdoctoral candidates interested in working in our team RTG environment. In addition to foundational issues in computational mathematics, examples of applied research directions include light propagation through optical devices, forecasting of weather, air quality, and drought, understanding progression of diseases like cancer and dementia, and multifacility location problems for warehouse and wireless services. (Area III ) optimization methods for data science. (Area II) data-intensive statistical learning, and (Area I) numerical techniques for partial differential operators, The CADES group effort is divided into three areas: Per the National Science Foundation: Participating postdoctoral associates supported with NSF funds in RTG must be citizens, nationals, or permanent residents of the United States or its territories and possessions.Ī new NSF -funded Research and Training Group ( RTG ) in Computation- And Data-Enabled Science ( CADES ) at Portland State University ( PSU ) will produce unique workforce additions possessing deep knowledge in specific areas of computational mathematics and statistics, as well as a broad understanding of current issues in data-driven science. We are proud of our world-class faculty, groundbreaking research and international reputation for excellence in sustainability, community engagement and innovation.įor information about the Fariborz Maseeh department of Mathematics and Statistics, please visit: More than 27,000 students from all backgrounds bring diverse perspectives to our classrooms and campus life, from the tree-lined Park Blocks to the bustling Urban Plaza and state-of-the-art science labs. The city is our campus, giving students unmatched access to career connections, a vibrant cultural scene and hands-on learning experiences with hundreds of community partners. Our mission to 'let knowledge serve the city' reflects our dedication to turning ideas into action - in Portland and around the world. Portland State University is Oregon's most affordable public research university, located in the heart of one of America's most dynamic cities. Proposed Start Date Rank N - No Rank Working Title Post-Doctoral Scholar (Department of Mathematics and Statistics) Position Number D98918 Representation UU - Unclassified Unrepresented Faculty Type Post-Doc Researcher Fixed Term End Date: Position FTE 1.0 Term of Service 12 month Equal Opportunity Employer/Veterans/Disabled

Pdx edu math department