Job description
Position Details
Proposed Start Date
06/01/2023
Rank
J - Research Associate
Working Title
MTH Research Associate
Position Number
D90727
Representation
AU - AAUP
Faculty Type
Fixed Term Research/Grant
Fixed Term End Date:
09/30/2023
Position FTE
Variable between .5 and 1.0, starting at 1.0 FTE
Term of Service
12 month
Position Summary
Brief Description of PSU/School/Dept
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://www.pdx.edu/math/
Position Summary
The position involves design, analysis and implementation of algorithms for solving problems in areas of large-scale scientific computing combined with state-of-the-art deep learning data science methodology. The specific fields include but are not limited to:
(i) Scalable Uncertainty Quantification (UQ) Algorithms for Estimating Expectations of Quantities of Interest Computed by Solving Partial Differential Equations with Stochastic Coefficients Subject to Available Observations Posed as Constraints.
(ii) Multilevel Methods for UQ Exploiting Coarse Models via Trained Encoder-Decoder Recurrent Neural Networks.
The work is a collaboration with teams of researchers at Lawrence Livermore National Laboratory.
It is expected that the suitable candidate will pursue independent but complementary research, contribute to project progress reports, give presentations at conferences and publish in peer reviewed specialized numerical analysis/scientific computing/data science journals.
Due to federal sponsor requirements, this position requires e-verification.This position ends September 30, 2023, but may be renewed, contingent upon funding.
(i) Scalable Uncertainty Quantification (UQ) Algorithms for Estimating Expectations of Quantities of Interest Computed by Solving Partial Differential Equations with Stochastic Coefficients Subject to Available Observations Posed as Constraints.
(ii) Multilevel Methods for UQ Exploiting Coarse Models via Trained Encoder-Decoder Recurrent Neural Networks.
The work is a collaboration with teams of researchers at Lawrence Livermore National Laboratory.
It is expected that the suitable candidate will pursue independent but complementary research, contribute to project progress reports, give presentations at conferences and publish in peer reviewed specialized numerical analysis/scientific computing/data science journals.
Due to federal sponsor requirements, this position requires e-verification.This position ends September 30, 2023, but may be renewed, contingent upon funding.
Primary Activity
R - Research
Minimum Qualifications
- PhD or another appropriate combination of educational achievement and professional expertise.
- Knowledge of finite elements (f.e.) theory, some knowledge of deep learning algorithms, experience with publicly available scalable f.e. libraries, as well as proficiency in parallel computing and expertise in the programming languages C++ and PyTorch are required.
Preferred Qualifications
Key Cultural Competencies
- Creates an environment that acknowledges, encourages and celebrates differences.
- Functions and communicates effectively and respectfully within the context of varying beliefs, behaviors, orientations, identities and cultural backgrounds.
- Seeks opportunities to gain experience working and collaborating in diverse, multicultural, and inclusive settings with a willingness to change for continual improvement
- Adheres to all PSU’s policies including the policies on Prohibited Discrimination & Harassment and the Professional Standards of Conduct.
Environmental Stewardship
Contributes to a culture of environmental stewardship, practices resource conservation, and actively works toward achieving long-term sustainability goals.
Professional Standards of Conduct
At Portland State University, all employees are expected to conduct themselves in a professional manner which maintains a safe, respectful, and productive environment for faculty, students, administrators, and staff. It is the responsibility of every member of the Portland State University community to conduct themselves in accordance with our PSU Professional Standards of Conduct which are available at https://www.pdx.edu/human-resources/professional-standards-conduct-policy.
Total Compensation Range & Benefits Statement
Salary is dependent on several factors, and new employees will typically start around the Q1 level to allow for later growth within the salary band. PSU has a structured process for determining starting compensation, taking into account years of related experience, applicable skills, knowledge and abilities, market parity, and internal equity. The starting annual salary for this position will be $67,032 (at 1.0 FTE) but may be negotiated above this rate dependent upon the factors above, the budget of the hiring department, and approval from HR.
An excellent benefits package includes 95% premium paid healthcare; a generous retirement and vacation package; and reduced tuition rates for employee, spouse or dependent at any of the Oregon University System schools : https://www.pdx.edu/human-resources/benefits-overview
Please visit our total compensation calculator to see the full value of our benefits package : https://www.pdx.edu/human-resources/psu-total-compensation-calculator
An excellent benefits package includes 95% premium paid healthcare; a generous retirement and vacation package; and reduced tuition rates for employee, spouse or dependent at any of the Oregon University System schools : https://www.pdx.edu/human-resources/benefits-overview
Please visit our total compensation calculator to see the full value of our benefits package : https://www.pdx.edu/human-resources/psu-total-compensation-calculator
Application Instructions
Additional Information
Additional Application Instructions (deadlines, etc.)
Please upload your CV, a cover letter, and a statement of research interests and three professional references. Please include at least one from the most recent employer or PhD advisor (if recent graduate). References will be contacted only if you are selected for further consideration.
Does this position require the employee to drive a motor vehicle?
No
Background Check Required
Yes
If you have questions
Email Dr. Panayot Vassilveski at panayot@pdx.edu
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