MTH Post-Doctoral Scholar

Position Details

• Proposed
  
  Start Date:
  
  09/16/2026
• Working Title:
  
  MTH Post-Doctoral Scholar Position
• Rank: N – No Rank
• Position Number: D98918
• Representation: UU – Unclassified Unrepresented Faculty
• Faculty Type:
  Post-Doc Researcher
• Fixed Term End Date: 04/30/2027
• Position FTE: 1.0
• Term of Service: 12 months

Portland State University is Oregon’s most affordable public research university, located in the heart of one of America’s most dynamic cities. Our mission to “let knowledge serve the city” reflects our dedication to turning ideas into action — in Portland and around the world. 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.

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. We are proud of our world‑class faculty, groundbreaking research and international reputation for excellence in sustainability, community engagement and innovation. For information about the Fariborz Maseeh Department of Mathematics and Statistics, please visit: https://(Use the "Apply for this Job" box below)./

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. An 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.

The CADES group effort is divided into three areas:

• Area I – numerical techniques for partial differential operators
• Area II – data‑intensive statistical learning
• Area III – optimization methods for data science

Currently, we are seeking postdoctoral candidates interested in working in our team RTG environment. Candidates whose doctoral research experience intersects with at least one of Areas I, II, or III, and who are desirous of acquiring skills in the remaining areas, are sought. NSF requires all RTG postdocs to be U.S. citizens, nationals, or permanent residents.

In the CADES program, trainees develop skills not solely for academia, but also for research careers in industry and government labs. 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

C. able to communicate both mathematically and in application‑specific language. 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.

The department has previously leveraged large philanthropic investments to successfully recruit leading scholars in computational science. It offers growth opportunities in a nurturing atmosphere where senior faculty are invested in collaborative group building and mentoring. The department is housed in a newly renovated LEED‑certified modern facility in downtown Portland, well‑connected by rail, streetcar, and bus lines. The Portland area, home to numerous software and hardware companies in the high‑tech sector, offers a thriving, progressive, urban scene, in close proximity to stunning nature.

The proposed start date is 09/16/2026, but could possibly start sooner depending on the needs of the project and…