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Undergraduate Research Assistant in Climate Impacts and Machine Learning_GEOSCI


PayCompetitive
LocationState College/Pennsylvania
Employment typePart-Time
  • Job Description

      Req#: REQ_0000075313
      Employer Industry: Higher Education and Research

      Why consider this job opportunity:
      - Salary of $20 per hour
      - Gain hands-on experience with applied climate research and data annotation
      - Opportunity to work on interdisciplinary research related to climate impacts and machine learning
      - Flexible work hours, approximately 5 hours per week for 8 weeks
      - Contribute to building a public database linking climate processes with real-world consequences

      What to Expect (Job Responsibilities):
      - Manually label selected sentences from news articles to identify types of impacts related to drought
      - Assist in compiling and analyzing a unique dataset of news articles referencing drought across the United States
      - Collaborate with the research team to improve understanding of flash drought impacts
      - Help train a machine learning model to recognize and classify impacts from labeled data
      - Engage in data-driven approaches to address real-world environmental challenges

      What is Required (Qualifications):
      - Strong reading comprehension and attention to detail
      - Interest in climate science, environmental studies, data science, or related fields
      - Curiosity about data analysis, machine learning, or artificial intelligence
      - Ability to interpret short text passages and identify relevant information
      - Previous coding experience is welcome but not required

      How to Stand Out (Preferred Qualifications):
      - Experience or coursework related to climate impacts or environmental studies
      - Familiarity with data annotation techniques
      - Interest in machine learning and artificial intelligence applications in environmental science
      - Strong analytical skills and ability to work independently
      - Previous research experience, particularly in a related field

      #HigherEducation #ClimateResearch #DataScience #MachineLearning #EnvironmentalStudies #InternshipOpportunity

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