Radar Intern

United States·NormanSeasonal (summer)entry

OtherIntern

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Quick Summary

Overview

Position: Summer Research Intern: Weather & Machine Learning Duration: 10–12 weeks Level: Undergraduate or Graduate Overview: We are seeking a motivated student with coursework in meteorology and hands-on experience with machine learning to join our research team for the summer.

Key Responsibilities

Work with radar datasets to identify and organize cases of microscale features Assist in preparing and processing data for use in machine learning models Help evaluate and visualize model results using Python-based tools Contribute to team meetings…

Requirements Summary

Currently enrolled in an undergraduate or graduate program in meteorology, atmospheric science, or a related field Basic familiarity with radar products through coursework or experience Prior coursework or project experience in machine learning or…

Technical Tools

pythonpytorchtensorflowdata-analysisdeep-learningmachine-learningmentoring

Responsibilities

~1 min read

→Work with radar datasets to identify and organize cases of microscale features
→Assist in preparing and processing data for use in machine learning models
→Help evaluate and visualize model results using Python-based tools
→Contribute to team meetings and discussions about storm behavior and model performance
→Document progress and assist in preparing summaries of findings

Qualifications

→Currently enrolled in an undergraduate or graduate program in meteorology, atmospheric science, or a related field
→Basic familiarity with radar products through coursework or experience
→Prior coursework or project experience in machine learning or data science
→Proficiency in Python for data analysis

Nice to Have

~1 min read

Coursework or experience in radar meteorology
Experience with or understanding of cloud seeding atmospheric effects
Familiarity with deep learning frameworks such as PyTorch or TensorFlow
Experience with data analysis tools such as Py-ART, MetPy, xarray, or similar
Prior research experience of any kind (REU, class projects, lab work)

Responsibilities

~1 min read

→Hands-on experience applying machine learning to real operational radar data
→Mentorship from researchers across meteorology and data science
→A meaningful research contribution suitable for graduate school applications
→Collaborative work environment bridging atmospheric science and modern data science methods