MTH Post-Doctoral Scholar

Portland State University

MTH Post-Doctoral Scholar

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

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.

We are seeking a postdoctoral researcher for a National Science Foundation (NSF) funded Research and Training Group (RTG) in Computation‑and Data‑Enabled Science (CADES) at Portland State University. The group focuses on three areas:

• Numerical techniques for partial differential operators (Area I)
• Data‑intensive statistical learning (Area II)
• Optimization methods for data science (Area III)

The role involves work in one of these areas and opportunities to acquire skills in the other areas. Projects include high‑performance computing, open‑source scientific software and applications such as light propagation in optical devices, weather forecasting, disease progression modeling and multi‑facility location problems.

Candidates must be U.S. citizens, nationals or permanent residents and must have a Ph.D. in mathematics, statistics or a closely aligned field in computational science obtained prior to the start date. Teaching experience is preferred but not required. Candidates with demonstrable computational experience combined with rigorous theoretical training are highly sought.

• Conduct research in the CADES RTG and contribute to published scholarship and open‑source software.

• Collaborate with faculty, students and industry partners to translate theoretical advances into real‑world data science solutions.

• Mentor graduate students and postdoctoral trainees in computational methods and interdisciplinary applications.

• Engage in outreach and dissemination activities that promote STEM education in the Portland community.

• Create an environment that acknowledges, encourages, and celebrates differences.
• Function and communicate effectively and respectfully within the context of varying beliefs, behaviors, orientations, identities, and cultural backgrounds.
• Seek opportunities to gain experience working and collaborating in diverse, multicultural, and inclusive settings with a willingness to change for continual improvement.
• Adhere to all of PSU’s policies including the policies on prohibited discrimination & harassment and the Professional Standards of Conduct.

Contribute to a culture of environmental stewardship, practice resource conservation, and actively work toward achieving long‑term sustainability goals.

All employees are expected to conduct themselves in a professional manner that maintains a safe, respectful, and productive environment for faculty, students, administrators and staff in accordance with PSU’s Professional Standards of Conduct.

The starting annual salary will depend on relevant experience, skills, and market parity. PSU offers an excellent benefits package that includes 95% premium‑paid healthcare, an optional retirement package, and a generous vacation package. Employees receive reduced tuition rates for themselves, spouses or dependents at any Oregon University System school.

• Accept References:
  Yes
• Number of References: 3
• Cutoff Date: (not specified)

PI