top of page
ML, Kalman Filtering, Transfer Learning on Smaller Datasets
Columbia University
Eligibility
Undergraduate Only
Accepts Applications Until
Dec 20, 2025
Project Duration
Flexible
Description
The student(s) will be refining an existing ML model, implementing Kalman filtering, and trying out transfer learning on smaller datasets.
Required Skills
Comfortable with the ML pipeline: data-sourcing, pre-processing, architecting, training, evaluating. Experience with transformer models, arcGIS, kalmann filters a plus
Additional Information
Lab/Building Location (if available): Remote/IRT lab
Hours per week: 1 hour per credit
Compensation
Research Credit
Quick Apply
bottom of page