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Research Assistant: Machine Learning Applications
AidData is seeking an RA to work with the research and evaluation unit to explore new applications of machine learning and geospatial data. AidData is currently adapting machine learning methods including convolutional neural networks and random forests to produce estimates of development indicators such as poverty based on satellite imagery and other sources of geospatial data. The RA will work (remotely) with AidData’s Data Engineer to prepare data for training ML algorithms, refining techniques, running models, and analyzing results.
This position is for summer 2021, for approximately 10 weeks. Continuation into fall is possible based on project needs. This position pays $10/hr with flexible hours (10-20 per week).
Required Skills
- Familiarity with geospatial data sources and formats: relevant courses include GIS 201, 405, 410, 420 or DATA 431 (experience in place of course work is welcome)
- Strong Python programming skills
- Experience with machine learning: relevant courses include DATA 310, 410, 442 (experience in place of course work is welcome)
Preferred Skills
- Experience using SciKit Learn and PyTorch (or other packages) to implement convolutional neural networks, random forests, and other ML algorithms
- Experience working in a HPC environment
- Familiarity with geospatial Python packages (rasterio, fiona, shapely, geopandas)
Application Instructions
Please send your resume, cover letter, and coding sample (GitHub link, etc. to original work) to Seth Goodman (sgoodman@aiddata.org).
Equal Employment Opportunity Statement
William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching, and service missions of the university. William & Mary is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities.