Postdoctoral Fellow, Environmental Data Science (Hybrid)

University of Colorado; Boulder (CO); Hybrid; USD 65,000 - 70,000; Full time

Benefits offered by this job

Hybrid work model

Relocation funds

Mentorship program

Transit benefits

Job summary

The Environmental Data Science Innovation and Impact Lab (ESIIL) at University of Colorado Boulder invites applications for Postdoctoral Associates specializing in environmental data science to tackle pressing environment-related questions using open data and scalable cyberinfrastructure.

ESIIL is part of CIRES and collaborates with CyVerse; the role emphasizes team science, open data, and education, with a hybrid work modality possible after onboarding.

Qualifications

• Ph.D. in environmental, biological, social, computer science, or data science field and defended by start date.
• Knowledge of open-source programming languages (e.g., Python, R).
• Commitment to open science and open education.
• Effective project management and independent work capability.
• Knowledge of ethical and reciprocal research practices.
• Ability to collaborate within large teams and networks.

Responsibilities

• Develop and implement an environmental data science project using open data, tools, and cyberinfrastructure.
• Apply data sources such as remote sensing, observatories, field data, citizen science, and more to address research questions.
• Leverage cloud or high-performance computing to harmonize and analyze big environmental data and develop open AI–based pipelines.
• Share research results through peer-reviewed publications, presentations, and other science products.
• Collaborate with the ESIIL team and network on joint projects, working groups, hackathons, or summits.

Skills

Python

R

Open science

Project management

Education

Ph.D. in environmental/biological/social/computer science/data science

Tools

Jupyter Notebooks

Job description

The Environmental Data Science Innovation and Impact Lab (ESIIL) at University of Colorado Boulder invites applications for Postdoctoral Associates specializing in environmental data science to tackle pressing environment-related questions using open data and scalable cyberinfrastructure.

ESIIL is part of CIRES and collaborates with CyVerse; the role emphasizes team science, open data, and education, with a hybrid work modality possible after onboarding.