GIS Developer with ArcGIS, remote sensing lidar data analysis, 3D solid modeling, Python, Cloud and web services experience

Job ID: MI-606405 (98590925)

GIS Developer with ArcGIS, remote sensing lidar data analysis, 3D solid modeling, Python, Cloud and web services experience

Location: Lansing MI (DNR)
Duration: 12 months
Interview: In-person

Skill Required / Desired Amount of Experience
Graduate degree in IT, Geography, Urban Planning, Environmental Science, or Geoscience. Strong IT skills, equiv. project/work exp. will be considered Required 7 Years
Significant experience with ArcGIS and related software Required 7 Years
Analysis of remote sensing lidar data Required 7 Years
3D solid modeling Required 7 Years
Python programming Required 7 Years
Knowledge and understanding of database applications Required 7 Years
Knowledge and understanding of Cloud computing Required 4 Years
Knowledge and understanding of Web services development Required 7 Years

The EGLE Air Quality Division (AQD) seeks a contractor with advanced specialized skills in Information Technology (IT) and Geographical Information Systems (GIS), including significant experience with ArcGIS and related software, analysis of remote sensing lidar data, 3D solid modeling, Python programming, database applications, Cloud computing, and Web services development. The contractor will assist the Assistant Division Director of the EGLE Air Quality Division in providing technical support to multiple program areas, including SIP development and ozone attainment demonstration modeling, facilitation of compliance and enforcement efforts for high priority industrial facilities, air toxics special studies, and external grant-funded projects.

Minimum requirement is a graduate degree in Information Technology, Geography, Urban Planning, Environmental Science, or Geoscience, preferably with thesis or research in applying GIS to urban development and/or environmental issues. Equivalent project or work experience will be considered, along with strong IT skills.

The scope of work for SIP-related research in collaboration with the US Forest Service primarily involves the building of a 3D GIS platform to facilitate the inclusion of urban heat island and building-sensitive wind effects in a high-resolution photochemical model of the innermost urban core of the Southeast Michigan ozone non-attainment area.

The scope of work in support of the USEPA-funded pilot study involves interfacing with Michigan State University (MSU), the main project sub-contractor, to facilitate the design and implementation of a pilot GIS and Web-based platform for electronic permitting, emissions reporting, air dispersion modeling, compliance assurance, and enforcement activities. This includes building prototype 3D digital models of industrial facilities based on airborne lidar data and engineering process diagrams submitted by industry. The contractor will collaborate with a Student Assistant in ensuring that required data from various AQD sections and units are properly assembled and formatted for access by the pilot platform, and with MSU researchers to design and implement initial platform templates for evaluation by AQD staff. Some of this work may also be incorporated into the SIP-related research described above.

The scope of work in support of air toxics studies and other special projects may involve building software interfaces based on Python scripts, Jupyter Notebooks, and GIS tools to easily organize, broadcast over the Web, visualize, and analyze real-time monitoring data, such as drone-mounted ambient air measurements. This may involve Cloud computing, such as provided by Amazon Web Services.

Other work not explicitly described here may be required in support of AQD programs, which may involve assisting and/or educating division staff in the use of advanced GIS, Python programming, database, or other sophisticated IT tools.

• Provide advanced technical expertise and support for a research joint venture between the EGLE AQD and the US Forest Service Northern Research Lab in developing high-resolution 3D GIS, meteorological, and air quality modeling and analysis tools for application to the State Implementation Plan (SIP) for the Southeast Michigan ozone non-attainment area.

• Provide advanced technical expertise and support for a USEPA-funded pilot study supporting the development of a GIS and Web-based platform for electronic permitting, emissions reporting, air dispersion modeling, compliance assurance, and enforcement activities.

• Provide advanced technical expertise and support for the development of contemporary real-time monitoring, data broadcasting, and data interpretation tools for air toxics studies and other special projects, possibly including drone-mounted measurements.

• Assist division staff in activities requiring advanced GIS, Python programming (including Jupyter Notebooks), database, or other sophisticated IT tools.

Examples of required specific tasks are as follows:

Constructing 3D digital building and cityscape models of specific areas in the City of Detroit and surrounding municipalities based on lidar data.

Constructing 3D digital models of a few representative industrial facilities (e.g., a landfill, a refinery, a power plant) for a pilot GIS and Web-based platform for electronic permitting, emissions reporting, air dispersion modeling, compliance assurance, and enforcement activities.

Writing Python code and designing Jupyter notebooks to facilitate the application of specialized forward and inverse air quality models, or to analyze real-time monitoring data.

Developing Web applications for real-time data broadcasting and visualization for specialized monitoring studies.

Setting up Cloud computing infrastructure for use by division staff.

Developing and managing project-specific GIS and database systems.

Because the contractor is expected to function as an expert resource to assist with specific projects, no explicit deliverables are required. However, the contractor will assist the Assistant Division Director in producing appropriate outputs, summaries, and reports as may be required throughout the contract performance period.

Expected duration of this position is 2 years

MI_E-RTR_Template-606405.docx

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