← Back to ORBIT Access
MATCH READYOPEN

Boston University

AI + Weather and Climate Science Undergraduate Research Assistant

Research using AI and data-driven methods for weather and climate science; coding experience is required, but prior AI/climate research is not.

Application deadlineOpen until filled / Google Form
View Official Program

About this opportunity

Research using AI and data-driven methods for weather and climate science; coding experience is required, but prior AI/climate research is not.

Verified eligibility context

Coding experience is a hard skills gate. AI and climate-science familiarity are not.

Verified access features

NO PRIOR RESEARCH REQUIREDTRANSFER FRIENDLYFIRST-YEAR ELIGIBLEINTERNATIONAL STUDENTS ELIGIBLE

Opportunity details

Research Area / Discipline
Data Science · Computer Science · Environmental Science · Physics
Research Topics
Artificial Intelligence · Machine Learning · Weather Prediction · Weather Extremes · Climate Science · Climate Modeling · Video Diffusion Models · Statistical Post-Processing · Earth Science
Research Intensity
High
Opportunity Type
Research Assistant Position
Location
Boston, MA, USA
Format
In Person / Research Group
Duration
Fall 2026; project-dependent
Compensation
Independent funding available; potential UROP and work-study funding; exact amount depends on funding route
Housing
No
Travel Support
No
Eligibility
Undergraduate
Citizenship Requirements
No citizenship restriction for BU undergraduate participation
Prior Research Requirement
No
Application Requirements
Google Form · project/research interest information · other fields as required by form
Recommendation Letters
Not Specified
ORBIT Data Confidence
A · 97%
ORBIT Access Support
NR — fewer than 8 support dimensions verified

ORBIT provides opportunity information as an educational resource. Program requirements, deadlines, eligibility, funding, and availability may change. Students should verify all information with the official organization before applying. The ORBIT Access Support Grade reflects verified accessibility features; it does not measure program quality, prestige, or likelihood of acceptance.