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Details
Posted: 09-May-26
Location: Pasadena, California
Categories:
Research - Laboratory/Non-Laboratory
Staff/Administrative
Internal Number: 7145676
Caltech
Exempt Overtime Eligible: Overtime Eligible
Benefits Eligible: Benefit Based
Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
Job Summary
The Research Technician Assistant will work under the direction of Professors Hannah Druckenmiller (Economics) and Georgia Gkioxari (Computer Science) to conduct research at the intersection of machine learning and environmental economics/policy. The role will be on a joint project that leverages Earth Observations and large administrative datasets to estimate spatially explicit monetary values of ecosystem services.
Essential Job Duties
- Trains and evaluates machine learning models.
- Downloads and processes large geospatial datasets.
- Implements quasi-experimental research designs.
- Participates in drafting presentations and manuscripts.
- Presents research findings at lab meetings, seminars, and scientific conferences.
- Assists with building databases.
Basic Qualifications
- Bachelor's degree in any of the following major fields: economics, computer science, statistics, public policy, or similar quantitative training.
- Some experience with machine learning tools in Python.
- Good communication skills.
Preferred Qualifications
- Experience working with big, geospatial, and/or environmental datasets.
- Background or interest in environment or sustainability issues.
- Relevant experience as a research assistant.
Required Documents
- Resume.
To be considered for this position please visit our web site and apply on line at the following link: https://hr.caltech.edu/work/job_openings
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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The California Institute of Technology (Caltech) is a world-renowned science and engineering research and education institution, where extraordinary faculty and students seek answers to complex questions, discover new knowledge, lead innovation, and transform our future.
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