Develop AI/ML methods for geospatial modeling and analysis of disturbance-driven coastal ecosystem transitions.
Compensation
Salary range: The monthly salary range for this position is $6,790 - $9,234 and is expected to start at $6,790 or above.
Responsibilities
Develop AI/ML methods for geospatial modeling and analysis of disturbance-driven coastal ecosystem transitions.
Integrate and analyze geophysical, microbial, water quality, ecological, hydrological, and remote sensing datasets to understand ecosystem responses and geomorphological processes.
Apply image classification, explainable AI, uncertainty quantification, and upscaling techniques.
Collaborate with interdisciplinary researchers, including modelers and experimental scientists, to achieve project goals.
Publish peer-reviewed articles and technical reports, present findings at conferences, and meet project deadlines.
Requirements
PhD in Geosciences, Earth and Environmental Sciences, Environmental Engineering, or a related field
Lead technical excellence and quality for PRI's Natural Sciences & Forestry practice, mentoring practitioners and driving practice growth.
Responsibilities
Provide technical leadership and quality oversight across biology, ecology, and forestry disciplines
Ensure deliverables meet professional standards and regulatory frameworks
Develop and support senior discipline leads
Maintain labour forecasts and workload planning
Coordinate technical resources across multidisciplinary teams
Requirements
Bachelor's degree in Biology, Ecology, Forestry, Forest Sciences, Environmental Science, Natural Resource Management, or related discipline
Nice to have: Experience spanning both biological sciences and forestry disciplines
Nice to have: Experience working with First Nations on natural-resource and stewardship initiatives
Nice to have: Experience across multiple service areas such as habitat assessment, ecological studies, forest management planning, silviculture, forest health, wildfire and fuel management
Nice to have: Familiarity with GIS, remote sensing, LiDAR, and drone-based field data collection and analysis
The postdoctoral researcher will contribute to high-impact publications, collaborate with a broad network of research and management partners, assist in developing competitive research proposals, and help shape future research directions within the Snowden Waterfowl Center of Excellence.
Compensation
$65,000
Responsibilities
contribute to high-impact publications
collaborate with a broad network of research and management partners
assist in developing competitive research proposals
help shape future research directions
Requirements
Ph.D. in wildlife science, landscape ecology, geospatial science, waterfowl ecology, or a closely related field
Develop and maintain computational and geospatial technologies for agricultural watershed science, water quality assessment, dam‑break flood modeling, risk evaluation, and emergency planning.
Responsibilities
Develop computational models, software tools, and web‑based decision support systems for agricultural watershed processes, water quality assessment, dam‑break flood modeling, risk assessment, and emergency planning.
Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
Design, develop, and maintain geospatial databases, web mapping applications, decision‑support systems, and cloud‑ or cluster‑based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
Support high‑performance computing, Linux‑based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data‑intensive research.
Requirements
Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline
Research-focused Ecologist/Forestry Researcher utilizing GIS, remote sensing, and FIA data to model forest attributes and analyze ecosystem resilience.
Compensation
$78,000 to $84,000
Responsibilities
Combine spatial data with predictor variables to map tree species composition
Evaluate model-derived spatial predictors to reduce uncertainties in FIA estimates
Link species composition outputs to fire occurrence datasets
Develop comparisons of uncertainties in FIA estimates using model-assisted approaches
Lead technical advisor on complex mission and enterprise‑integration challenges for the National Geospatial Agency’s Sensor Integration Program Management Office.
Compensation
$162,400 - $203,000 - $243,600 Annual
Responsibilities
Frame complex or ambiguous mission and systems‑engineering problems that span multiple programs, systems, and TCPED functions.
Assess mission needs, operational concepts, architectures, interfaces, data flows, and technical alternatives across end‑to‑end mission threads.
Identify capability gaps, cross‑program dependencies, interoperability constraints, technical risks, and opportunities to improve enterprise mission performance.
Translate technical and mission analysis into clear, evidence‑based recommendations, decision options, and capability roadmaps for government leaders.
Requirements
Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field
Nice to have: NGA missions
Nice to have: Imagery data products
Nice to have: Ground architecture and infrastructure
Manage and expand relationships with commercial customers, ensuring they maximize value from Planet’s imagery and geospatial solutions.
Locations (2)
San Francisco, California, United States
Denver, Colorado, United States
Compensation
The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. This role is eligible for commission.
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