Research Scientist - Mountain Limnology Laboratory

Position: Research Scientist I - Mountain Limnology Laboratory
Location: Allenspark

Job Summary

The Mountain Limnology Laboratory (MLL) at the Institute of Arctic and Alpine Research (INSTAAR) at University of Colorado Boulder is recruiting a postdoctoral researcher to work on a project funded by the U.S. Geological Survey Next Generation Water Observing System Program. The primary project aims to develop interpretations from a U.S. continental-scale water quality dataset of remotely sensed dissolved organic matter (DOM).

The postdoc will be integrated into other ongoing projects within the MLL and will have opportunities to develop their own lines of inquiry on topics related to inland water biogeochemistry. This project provides a training opportunity for exciting data-driven research and for building a professional network that includes both academic and federal scientists. We anticipate that the scientist will gain new, international collaborators, develop new skills, and take part in professional development activities (e.g., Global Lake Ecological Observatory (GLEON) and other all hands' meetings, relevant conferences, student mentoring, educational programs).

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

Who We Are

As the University's oldest institute, INSTAAR has a long history of responding to pressing environmental issues including climate change. Our traditional focus has been on alpine, Arctic, and Antarctic regions, where effects of global change are especially pronounced. In recent decades, our research has broadened to include environmental challenges that span local, regional, and global scales. INSTAAR’s research activities integrate field studies, state-of-the-art laboratory experiments, sample analysis, and numerical and laboratory modeling.

Our field sites are located across all seven continents and the world's oceans.

Our expertise across disciplines helps us generate influential science that can inform public and policy decisions and move us toward a more sustainable society. INSTAAR's national and international research leadership is augmented by exceptional strength in graduate education and bringing undergraduates into the research process.

What Your

Key Responsibilities Will Be

The postdoctoral researcher will leverage 1.8 million published and analysis-ready water column dissolved organic carbon concentrations collected in inland waters (Aquasat V2), paired with Landsat surface reflectance, to build predictive models of DOM in lakes and rivers. Products will include (1) a data release of internally consistent national-scale DOM data, (2) publication of statistical and machine learning models predicting DOM concentrations at a national scale, and (3) at least one journal article documenting models and synthesizing results to inform future water quality observation programs and water resource management.

Intended beneficiaries include USGS water monitoring programs, water resource decision makers, and the broader aquatic science community.

What We Can Offer

The salary range for this position is $65,000-$75,000 annually.

Benefits

• medical, dental, and retirement plans
• generous paid time off
• tuition assistance for you and your dependents
• an ECO Pass for local transit

As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. In fact, CU Boulder has been named one of Forbes' America's Best Large Employers , ranking #4 among large employers in Colorado and #28 among universities nationwide. Explore additional perks and programs through the CU Advantage program.

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What We Require

• PhD in Ecology, Limnology, Hydrology, Watershed Science, or a closely related field.

What You Will Need

• Passion for and experience in collaborating with a diversity of colleagues at various career stages, both remotely and in person.
• Excellent written and oral communication skills.

What We Would Like You to Have

• Skills in data science (such as AI/ML).
• Strong statistical background.
• Expertise in ecosystem science, limnology, biogeochemistry, hydrology, geography, or related fields.
• Passion for open science in principle and in practice.