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GIS Paid Internship

Paid Internship for GIS Students

A paid GIS summer internship is available at the Central Contra Costa Sanitary District. Read below for more information.

Summer Internship
$18 per hour

Central San has a three-month GIS summer internship opportunity. This opportunity works with a GIS Technician, who will provide detailed training on editing using ArcGIS Pro, ArcMap using Esri’s latest Utility Network model. They will get opportunities to create maps for board presentations and other Central San departments. Depending on student skillsets and interests, there may be opportunities to develop web application, story maps and/or dashboards, or field work. They will be exposed to Esri Enterprise, Portal and ArcGIS Online.  It’s an opportunity to gain skillsets towards gaining a full time position as a GIS Specialist or Technician.

Asset Management & Geographic Information System (GIS)

Job Description:
This position will assist the Asset Management/GIS Group with GIS and Asset Management projects. Duties may include editing and maintaining GIS datasets, reading, and extracting data from record drawings, field work, creating and updating various maps, publishing map services, and supporting the asset management system. Should have experience with Esri ArcMap and/or ArcGIS Pro.  

These are 40-hours, Monday through Friday, temporary summer positions located onsite in Martinez. Requirements include a current, full–time student status, at least 18 years of age, possess a valid California Driver’s License, and have a satisfactory driving history. These temporary positions are a summer commitment starting in May/June 2023 and finishing in August/September 2023. These assignments provide an opportunity for students to gain work experience in a wastewater utility. Students interested in applying for the following positions should submit a cover letter, resume, and unofficial transcript(s) at student@centralsan.org.

This position closes on 4/28/2023 at 5 p.m.

Learn More

Get the details on the Central San Job Listing.

 

GIS Course: 2D and 3D Mapping with Drones, May 5 & 6

Take Your GIS Mapping to New Heights

Our two-day Geographic Information Systems course, 2D and 3D Mapping with Drones will be held May 5 and May 6, 2023. Students will get hands-on practice with drones in the field, with guidance from instructor Jerry Davis, director of the Institute for Geographic Information Science.

Course Description

2D and 3D Mapping with Drones
Collection of imagery with drone-mounted cameras and processing into georeferenced imagery and 3D models using photogrammetric and image analysis methods in Pix4D and ArcGIS. For 2D mapping, the focus is on multispectral imagery increasingly used for precision agriculture and biogeographic analysis; vegetation health indices such as the normalized difference vegetation index will be derived. For 3D mapping we'll primarily use color imagery for capturing landform features such as hillslopes, gullies and landslides, but also features and structures in the built environment. We'll also explore methods of capturing and processing ground control points for georeferencing and accuracy checking.

More Information

See the GIS class schedule to register for this course.

GIS Courses Starting in April & May 2023

Many Geographic Information Systems courses are starting in April and May. Register now for these two-day courses:

  • Introduction to R, April 7 & 8
    This course serves as a basic introduction to R, a freely available statistical program widely used in professional, scientific and academic communities. Course topics will include fundamentals of the R command-line interface, data management and manipulation, data visualization and graphics, basic spatial statistics and modeling. Statistical tools available in ArcGIS will also be reviewed, and ArcGIS will be used to generate R input data and to process R output. It is recommended that students have had at least one statistics course and some experience with ArcGIS.
  • Advanced Remote Sensing, April 14 & 15
    An introduction to LiDAR data and derived digital models. Emphasis is placed on creating surface models from point cloud data and integrating spectral data and object based image analysis for vegetation classification.
  • GIS Programming with Python, April 21 & 22
    Introduction to programming ArcGIS using the Geoprocessing Environment. Students will learn to create geoprocessing tools that can be combined with other tools, in models and the toolbox, to process complex analysis tasks and automate repetitive data maintenance needs. Scripting with Python is emphasized as the appropriate technology for getting GIS work done by users, and is compatible with ArcGIS modules and all current geospatial data structures: rasters, shapefiles, coverages and geodatabases. Students need no prior programming experience.
  • Managing a Geographic Information System Project, April 28 & 29
    Designed for managers who may be new to supervising GIS projects. Topics covered include defining the scope of a project; data acquisition; project planning; project budget estimation; staffing; pilot studies; cooperative projects. Case studies.
  • 2D and 3D Mapping with Drones, May 5 & 6
    Collection of imagery with drone-mounted cameras and processing into georeferenced imagery and 3D models using photogrammetric and image analysis methods in Pix4D and ArcGIS. For 2D mapping, the focus is on multispectral imagery increasingly used for precision agriculture and biogeographic analysis; vegetation health indices such as the normalized difference vegetation index will be derived. For 3D mapping we'll primarily use color imagery for capturing landform features such as hillslopes, gullies and landslides, but also features and structures in the built environment. We'll also explore methods of capturing and processing ground control points for georeferencing and accuracy checking.
  • Cartographic Design for GIS, May 12 & 13
    This course is a discussion and demonstration of the essential cartographic principles and practices used for designing maps. The focus is on techniques for creating maps that effectively communicate single/multi-variant qualitative and quantitative spatial data to the viewer. Through numerous hands-on exercises, participants will have the opportunity to use most of the map production tools provided with ESRI software products to prepare raw data and produce a variety of thematic maps. Class format: approximately 50% lecture, 50% software application.

Find the GIS Class Schedule and How to Register for GIS Courses.

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