Research Associate – Software Developer

UNC-Chapel Hill • Chapel Hill, NC

2d • Hybrid

About The Position

This position may be eligible for a hybrid work arrangement that may include a partially remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Research Associate – Software Developer will report to the Director of the Center for Environmental Modeling for Policy Development, within the Institute for the Environment. The Research Associate will support software development focused on environmental applications for air quality management. This will include acquiring datasets related to multiple air quality sensors from diverse data sources, develop open-source, easy to use tools to compare different types of air quality measurements in different data formats. The overall scope of this position is to develop software systems that help better understand localized air pollution concentrations and developing dashboards that integrate data from diverse sources. Further, the Research Associate – Software Developer will be involved in developing documentation of procedures and protocols for future implementation, developing professional reports and assist with preparing manuscripts for broader dissemination.

Requirements

• Proficiency in Python, PostgreSQL, Flask, HTML , JavaScript, CSS
• Expertise in developing iOS applications using SwiftUI
• Experience in working with large-scale datasets, with a focus on spatial analyses such as K-Nearest Neighbor ( KNN ) algorithms, etc. and Google Map APIs
• Familiarity with Jira or similar software for agile software development, team collaboration and project management
• Proficiency in software version control and documentation using GitHub

Nice To Haves

• Applications development using R-Shiny, Visual Studio 2022. . NET Environment
• Web applications development using Python, Flask, Java, Visual C++
• One year of experience developing software applications using emissions and air quality datasets, or other novel/emerging pollutants
• Developing / implementing advance machine learning algorithms for environmental datasets
• Attention to detail and careful documentation of work products such as How-to, User Guides, etc.

Responsibilities

• acquiring datasets related to multiple air quality sensors from diverse data sources
• develop open-source, easy to use tools to compare different types of air quality measurements in different data formats
• develop software systems that help better understand localized air pollution concentrations
• developing dashboards that integrate data from diverse sources
• developing documentation of procedures and protocols for future implementation
• developing professional reports
• assist with preparing manuscripts for broader dissemination

What This Job Offers

• Education Level: No Education Listed
• Number of Employees: 11-50 employees