Geospatial Jobs #40: Nov 2, 2023

Welcome to the 40th issue of Geospatial Jobs, a career newsletter focusing on data science and geosciences (🌧climatetech, 🌽agtech, 🌊risk modeling, ⚡️energy, 🛰remote sensing, ♻️sustainability, and more).

🎄🎅 There are usually fewer open positions at the end of the year (i.e. the coming weeks) especially when fears of recession and economic downturn are still lingering. If you’re a job seeker, you can use the next months to stand out among the crowd. Here are a few suggestions that worked for me in the past:

1. Showcase your skills: Everyone lists python on their resume, but performing a case study and sharing the results publicly will go a long way. You may benefit from the pre-processed datasets on hackathons or data science challenges. Here’s an example I shared ~2 yrs ago.

2. Improve your skills: Take online courses if needed. There are a ton of free resources on Youtube, Medium, and so on. If you’re interested in learning python, here’s a tutorial that may be helpful.

3. Reach out to peers and stay connected: Seek advice but remember that eventually you need to do the homework. I receive a lot of inquiries, but the number of people who actually listen to suggestions and follow up afterwards is unfortunately disappointing.

4. Work on your interview skills: your narrative (and your response to the question “tell me about yourself”) matters. Prepare a 2-4 minute narrative that best describes you (and write it down and practice it over and over). That will become useful for updating the about section of your LinkedIn account.

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Open Positions:

a. Data Science / Engineering positions:

1. Google[X] (Mountain View, CA): ML Infra SWE, Project Tidal (6mon contract)

2. Allen Institute (Seattle): Senior Director of AI Applications

3. Amazon: Research Scientist - Sustainability

4. Excarta (San Francisco): Product Lead for AI Weather Platform

5. Pachama: Staff ML Engineer

6. Salient (Boston): ML Engineer

7. Nekton Labs (San Francisco): Ocean Modeler, Ocean Carbon Scientist

8. HawkEye360 (Herndon, VA): 

   1. Junior Data Scientist

   2. Data Scientist

   3. GIS Analyst, Maritime Domain

9. SwissRe (Armonk, NY): Head RCA Americas

10. CoreLogic: Sr Professional, Backend Software Engineer (ML Learning)

11. Arup (San Francisco): Graduate Climate Risk & Resilience Engineer

12. Whiteout Solutions (Lyndonville, VT): Senior Geospatial/LiDAR Analyst Role 

13. Dewberry: Climate Scientist and Senior Climate Scientist

14. AdventHealth (Altamonte Springs, FL): Senior Sustainability Analyst

15. 🇨🇦 Confluvio (Montreal): Junior Researcher / Spatial Analyst

16. 🇬🇧 AON (London): Flood Research Lead

17. 🇩🇪 Allianz (Munich): Working Student within Cat Risk Management Team

18. 🇩🇪 Vida (Munich): Geospatial Data Engineer

19. 🇨🇭 MSCI (Zurich): Climate Risk Modelling, Data Scientist

20. 🇫🇷 Absolut Sensing: Remote Sensing Engineer for Greenhouse Gas monitoring

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b. Postdoc / research positions:

1. LLNL: Applied ML postdoc

2. EPA: Physical Scientist (climate science)

3. CIRA (Boulder, CO): Satellite Data Assimilation

4. USRA: Data Scientist for NASA applications

5. Climate Central: Climate Impacts Research Associate

6. Stanford

   1. Microclimates, vegetation, and ecosystem processes

   2. Stanford Data Science postdoc fellowship

7. AI and Climate forecast at UC Irvine:

   1. Postdoc1, postdoc2, postdoc3, Assistant Project Scientist

8. UC Berkeley (Linkedin post):

   1. Environmental Policy Research Fellow

   2. Water Policy Research Fellow

9. UC Berkeley: atmospheric modeling for landfill methane emissions

10. Desert Research Institute (DRI):

    1. Post-Wildfire Water Quality

    2. Snow Hydrology/Soil Science

11. UNC (NASA funded): urban heat disparities modeling + mapping

12. U Miami: improving hurricane forecasts

13. Florida State U: inundation modeling and statistical hydrology

14. George Washington U: air quality

15. Two postdocs at U Utah: snowmelt modeling 

16. Vanderbilt: forest fires in tropics

17. U Minnesota: climate and remote sensing

18. Two postdocs at U Alabama:

    1. AL Water Institute: hydrological modeling

    2. Computational Hydrology and Groundwater Modeling

19. Northeastern: Coastal Hydrology and Water Resources

20. Postdoc (NASA-funded) at NC A&T State

21. U Alaska-Fairbanks: synthesizing lake water quality data

22. Research Intern positions available at Microsoft AI For Good Lab

23. Two Internship positions at PingAn U.S. Research Lab (Palo Alto, CA): AI for Earth Observation

24. 🇨🇦 NRC: Research Associate, Water Resources Optimization Engineering

25. 🇧🇪 Postdoc (2yr) at Royal Observatory of Belgium on space weather

26. 🇮🇹 Politecnico di Torino: climate effects and hydrological extremes

27. 🇸🇪 SMHI: Expert in ML for climate applications

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🕵️💵 Recent Fundraisings:

• CarbonFarm Technology has raised $2.6M to decarbonize rice through satellite-verified carbon credits.

• HawkEye360 has raised $10M series D-1.

• 🇳🇱 Overstory has raised $14M series A for their vegetation AI platform, reducing wildfire risk and power outages.

• Rhizome—AI and climate/infrastructure data to model grid vulnerabilities from extreme weather events—raised $2.5M.

• Salient Predictions has received a $2.9M grant from the Bill & Melinda Gates Foundation.

• Urban Sky has raised $9.75M series A to scale Earth imaging operations using reusable balloons.

• Vibrant Planet—EO for wildfire risk management—raised $15M funding.

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📚📖 Useful Resources:

• Free courses on remote sensing from NASA & ESA:

  • Fundamentals of Remote Sensing

  • Building Climate Risk Assessments from Local Vulnerability and Exposure

  • Monitoring Climate from Space

  • Earth Observation from Space: The Atmosphere

  • MOOC on Drought Assessment and Monitoring from Space

• DuckDB for geospatial, a new course by Qiusheng Wu:

  • Youtube playlist

  • Website, Github