Eli
DAIR Mission: We are rooted in the belief that AI is not inevitable, its harms are preventable, and when its production and deployment include diverse perspectives and deliberate processes it can be beneficial. Our research reflects our lived experiences and centres our communities.
Location: South Africa, with supervisors in South Africa, Canada and the US.
Job Description
The research associate will work on interdisciplinary research challenges that lie at the intersection of development economics and statistical machine learning. Research activities will be supervised by Raesetje Sefala, Nyalleng Moorosi and Timnit Gebru, and include:
- Data Cleaning, storing and visualisation.
- Construction of preliminary machine learning models.
- Providing preliminary interpretation of the data.
- Assisting in drafting and developing any manuscripts that are developed during their tenure with DAIR.
- Presenting results and ongoing work to DAIR members and other ML and non-ML audiences.
Required Skills
Qualified candidates should have an undergraduate degree in Computer Science, Computational Social Science, Statistics, or a related field. Strong technical, analytic, and computational skills are essential: all projects involve the analysis of large, complex data, and require proficiency in one or more object-oriented programming languages (at least Python). Experience working with GIS-based datasets such as satellite images and other geo-referenced datasets, together with applied machine learning or econometrics are desired.
Compensation: USD 5000.00/month. This is a fixed term, contract position and is not benefits eligible.
Interested individuals should complete this short application form. You will be asked to provide a CV, a cover letter describing research interests and prior relevant experience, including links to github or similar accounts with samples of coding work, and two contacts who can provide references.
Please note: applications for this position will close on the 3rd May 2023 by end of day