Cloud to Street is a remote sensing platform that rapidly maps floods around the world and delivers risk analytics to the most vulnerable areas at a fraction of the cost and time of traditional flood modeling. Our mission is to ensure that all vulnerable communities – and the governments and companies that serve them – have the data and support they need to prepare and respond to increased catastrophic flooding. In the next 5 years, we aim to enable flood protection and insurance 10 million people worldwide.

We are looking for a best-in-class remote sensing scientist with radar expertise to lead algorithm development for flood detection with high-resolution imaging radar. In addition to algorithm development, this person will provide technical support to project stakeholders, help develop project proposals, and assist with online user tool development. This person will work closely with our team’s remote sensing scientists, climatologists, and hydrologists to build new flood  analytics methods and practical decision-support tools for disaster responders, flood managers, and insurers.

MORE ABOUT US AT CLOUDTOSTREET.INFO

Over the past five years and in partnership with Google Earth Outreach, the Dartmouth Flood Observatory, and others, we built proprietary tools to harness over 12 public and commercial satellites and community generated data on the ground. Today, in partnership with the UN, the World Bank and others, we have helped disaster users prepare and respond to flooding in some of the most impacted areas of the world including: the Indian states of Uttarakhand and Tamil Nadu, Argentina, Senegal, Ethiopia, South Sudan, the Republic of the Congo and more. In 2019, we will publicly release the world’s largest database of flood maps, expand to serve five to ten more countries, and reduce loss from flooding for potentially thousands of people.

SCOPE OF WORK

  • Integrate radar flood data and algorithms with existing Cloud to Street optical flood detection algorithms in Google Earth Engine using the Python API
  • Develop new algorithms to detect floods with public and commercial sensors in Google Earth Engine or other software
  • Develop methods to compare multi-satellite results to ground reference data
  • Manage databases and data assets in Google Cloud Storage, Google Earth Engine Assets, and GitHub
  • Technical support for clients and assist with final written reports, training materials

KEY COMPETENCES, TECHNICAL BACKGROUND, AND EXPERIENCE REQUIRED

  • Masters or PhD (PhD preferred for full time positions) in geosciences or related field with focus on remote sensing and geospatial analysis
  • Fundamental knowledge of radar remote sensing
  • Experience with multi-temporal analysis of SAR
  • Proven track record developing new remote sensing methods
  • Commitment to justice, diversity, science and solidarity with vulnerable communities
  • Ability to work on remote team with an scrappy startup mentality
  • Preferred Experience:
    • Google Earth Engine Javascript and Python APIs
    • Google Cloud Ecosystem
    • coarse resolution radiometers
    • data science related fields such as computer science, statistics, applied mathematics, information technology, physics, and/or software engineering
    • InSAR/Interferometry
    • conceptual understanding of surface hydrology
    • data fusion/assimilation with multiple sensors, and machine learning techniques

BENEFITS

  • Office space in Brooklyn, New York or Tempe, Arizona
  • Competitive compensation
  • Equity stake in the company (for full time)
  • Generous benefits package (for full time)

HOW TO APPLY

Applicants are requested to send their submissions to hiring@cloudtostreet.info with:

  1. Subject line: Radar Remote Sensing Scientist, Cloud to Street
  2. Relevant publications or other scientific work
  3. Attached CV/Resume
  4. Paragraph expressing interest within the submission email

APPLICATION DEADLINE: Applications will be reviewed until January 30 with the intent to start the right candidate part time in mid February and full time in late April. Cloud to Street it committed to building an inclusive and diverse company. Women, people of color, and individuals with disabilities are especially encouraged to apply.