MATH Post-Doctoral Scholar

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, III, and who are desirous of acquiring skills in the remaining areas, are sought. NSF requires all RTG postdocs to be US 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 is 9/16/2026, but could possibly start sooner depending on the needs of the project and candidate. The Hiring Manager is flexible on the start date

Applicants must have a Ph.D. in mathematics, statistics or a closely aligned field in computational science, obtained prior to the start date of the appointment. Some teaching experience is preferred (but not required). Candidates with demonstrable computational experience combined training in rigorous theory are sought.