About Unity:
At Unity Environmental University we are on a mission to make environmental education accessible and affordable to all. Our unique model combines a functional hierarchy and project-based structure through our four Sustainable Education Business Units (SEBUs) to promote collaboration and innovation (Distance Education, Sustainable Ventures, Unity @ Pineland). We prioritize our students' needs above all else, offering a variety of modalities, including hybrid, in-person, hyflex, and online. Our innovative and inclusive culture prepares students to tackle real-world challenges and cultivate the next generation of environmental professionals and leaders who can make a positive impact on our world.
Our Mission:
We are dedicated to delivering quality education and experiences that produce outstanding environmentally competent professionals and inspire individuals from all walks of life to steward sustainable ecosystems.
About Enterprise Education:
Enterprise Education provides an entirely asynchronous, online learning experience that adapts to the unique circumstances of each student. Our fully accredited bachelor's and master's degree programs, as well as non-degree credits, empower learners to shape their own educational journey. With 8 five-week terms for undergraduates and 5 eight-week terms for graduate students, our model offers unparalleled flexibility. You can learn at your own pace, and take breaks as needed. By using your everyday environment as your laboratory, you'll integrate your studies into your daily life. This makes our education ideal for busy professionals who seek to advance their careers while still honoring their commitments. We are committed to empowering our students to become the changemakers our world needs, wherever they are.
The Opportunity:
Unity Environmental University seeks an experienced data visualization professional to serve as a Subject Matter Expert (SME) for the development of an upper-level undergraduate laboratory course, Data Visualization Laboratory. This course follows Data Management in Python and provides students with practical, hands-on experience in applying advanced visualization and data-communication techniques to environmental data.
Students in this 100 percent asynchronous, online course will:
-
Ingest and clean realistic environmental datasets.
-
Develop advanced visualizations such as heatmaps, 3D plots, and interactive dashboards.
-
Apply best practices in data visualization to enhance clarity, meaning, and visual appeal.
SMEs work closely with an academic dean and learning-experience designer to advise on and develop curricula, ensuring that course content is accurate, engaging, and aligned with program-level outcomes in environmental data science and engineering.
