Lead Geospatial Hydrologist/Geomorphologist

We seek a driven and creative scientist with a passion for using quantitative analytics to
understand landscape dynamics and apply insight to create practical, scalable tools. The ideal
candidate is excited to work as a member of an adaptive, user-focused team, grounded in
decades of academic research, and committed to responsive, action-oriented problem solving.
The Lead Geospatial Hydrologist/Geomorphologist position will contribute to the development
of advanced tools and models that integrate hydrology, geomorphology, and remote sensing.
We offer an exciting opportunity to collaborate on groundbreaking projects aimed at unraveling
the complexities of Earth systems, with a particular focus on mapping and modeling wetland
landscapes and their functions.

This role is ideal for someone who thrives at the intersection of scientific curiosity,
computational innovation, and real-world applications - and who is excited to grow with an
emerging organization that values both rigor and real-world impact.

Key Responsibilities

• Lead the Science Team in planning work flows that keep deliverables on time and on
  budget.
• Design and test algorithms for geospatial data analysis, drawing on physics-based
  principles of geomorphology and hydrology coupled with robust statistics.
• Develop and refine geospatial tools and models to define a watershed context for
  wetlands, focusing on wetland and channel network dynamics and interactions.
• Conduct terrain and flow modeling using LiDAR, DEMs, and advanced hydrologic
  principles.
• Collaborate with interdisciplinary teams to integrate geospatial insights into
  decision-support tools for conservation and restoration.
• Work on the development of open-source or proprietary geospatial tools, inspired by
  state-of-the-art platforms such as NetMap or Whitebox Tools.
• Engage in fieldwork as needed to ground-truth models and validate findings.
  Communicate results through technical documentation, reports, and presentations.

Qualifications

Required:

• 3-5 years of experience designing and testing algorithms for geospatial data analysis.
• Demonstrated skills in leading teams to plan and execute work flows.
• Master’s degree (M.S.) or higher in hydrology, geomorphology, geology, environmental
  science, civil/environmental engineering, or a closely related field.
  Strong experience with geospatial analysis.
• Proficiency in programming languages such as Python or R, for geospatial applications
  and numerical problem solving.
• Familiarity with GIS platforms such as QGIS, ArcGIS, or related tools.
  Strong curiosity and motivation to apply scientific principles to solve practical
  environmental problems.
• Effective communication skills for technical and non-technical audiences.
• Enthusiasm and capacity for working in the context of an emerging organization, which
  requires clear communication around work agreements, adaptability, and a collaborative
  work ethic.

Preferred: 

• Field experience with environmental data collection and hydrologic measurements.
• Knowledge of wetland ecology or ecosystem services. Passion for interdisciplinary
  collaboration and real-world problem-solving. Statistics background or experience.
• Experience with machine-learning workflows and data analysis.
• Design and implement algorithms for numerical problem-solving, developing efficient code
  in low-level languages, and integrating the results into Python and R packages