DiveViz is a new startup that provides divers with the only daily visibility reports and forecasts so they can pick the right times to dive and avoid the discomfort and frustration of poor conditions. Currently looking for a physical oceanography intern who is passionate about diving, ocean conservation, and able to develop an algorithm that builds a visibility prediction from weather and buoy data. This project is currently for the San Diego area, but has huge plans for expansion both nationally and globally. Come be part of something that will get more people in the water, create excitement and awareness about the ocean, and lead to more passionate ocean conservationists around the world.
Skills
- Experience in scientific analysis of satellite/in situ ocean data and model output
- Strong oral and written communication skills
- Self starter, ability to work independently
- Familiarity with data assimilation, including observational data ingest, processing, and assimilation
- Familiarity with atmospheric/ocean/ice/wave coupled prediction systems,
- Familiarity with configuration management, software infrastructure, and computational performance improvement.
- Experience in at least one scientific analysis and/or programming tool (e.g., Matlab, R, Python, etc.) a plus
Job description
- Developing an algorithm to predict ocean water clarity for divers
- Conduct analysis of popular dive sites and how their visibility is affected by different environmental parameters
- Adjust model for different sites
- Surveying divers and dive shops for information on how visibility is effected at different dive sites
- Surveying divers and dive shops for desired features within a dive reporting/forecasting website
- Developing an automated process for making and posting visibility reports and forecasts
Unfunded
Time commitment
flexible per student availability
Follow up directions
Contact Chris Cheezem at chris.cheezem@rady.ucsd.edu