Research Assistant 2 (temporary)
Research Assistant 2 (temporary)
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Job Description
Department Overview
The OHSU-PSU School of Public Health (SPH) is aligned with the American Public Health Association in declaring racism a public health crisis and our School is committed to becoming an antiracist SPH. We are working to center social justice in our internal and external work as a school and are committed to addressing structural and institutional racism and to holding ourselves accountable to this work.
Research Assistant 2 (RA2) - Traffic Noise Modelling using Sound Propagation Model
In this role the RA2 will prepare and document geospatial and traffic data for modelling traffic noise across Portland Oregon using pre-existing modelling software such as NoiseModelling v5.0 (or similar) to generate noise estimates at residential addresses. The RA2 will compare estimates with other modelled noise estimates and will assess the distribution of residential traffic noise pollution by relevant neighborhood socioeconomic factors. The RA2 will gain GIS data management and processing skills and will have the opportunity to learn how to reproducibly create maps and graphical summaries of geospatial data using R packages.
This is a .80 FTE temporary position for up to six months and is not benefits eligible.
Function/Duties of Position
- Identify download and document geospatial data inputs for noise model.
- Prepare inputs for noise model and document processing steps.
- Model noise using pre-existing propagation modelling software.
- Compare propagation modelled estimates to other modelled estimates (e.g. LUR) and graphically summarize results.
- Describe estimates by neighborhood variables (e.g. socioeconomic status to demonstrate neighborhood level exposure disparities) and document the process.
- Map estimates using R geospatial packages and document the inputs/code.
Required Qualifications
Bachelors in relevant field OR
Associates AND
3 years of relevant experience OR
4 years of relevant experience OR
Equivalent combination of training and experience
Prior role that has involved data collection processing and documenting
Must have some experience with R
Preferred Qualifications
- Masters in environmental health or related field
- GIS experience preferred
- Prior experience with geospatial packages in R would be beneficial but is not required
Additional Details
Desk based role with flexible schedule no field work.
All are welcome
Employment Type
Part-Time
