The Aggregate Confusion Project within the Sustainability Initiative at the MIT Sloan School of Management are seeking highly skilled, collaborative, and motivated individuals to work as full-time research staff (Pre-Doctoral Technical Associate). The position will be based at the MIT Sloan School of Management in Cambridge, MA. The selected candidate(s) will gain exposure to and training in a broad set of research approaches and methodologies useful for applying to graduate programs. Pre-doc associates will be fully integrated into the local research community. They will interact with research scientists, post-docs, faculty, and other PAs. The faculty will provide mentorship and support the PA through the process of preparing for and applying to PhD programs. Please visit Predoc.org for more information about what a predoc is, for advice about applying to graduate programs in business and economics, and to find other predoctoral opportunities across a consortium of universities and research institutions. The position is ideally suited for candidates planning to pursue a PhD degree in Sustainable Finance. The ideal candidate will have Completed or are on their way to complete a 4-year undergraduate degree and/or Master’s degree in Economics, Statistics, Computer Science, Mathematics, or related fields; A strong quantitative background; Strong programming skills and experience in Python (R and Stata are a plus but not needed); Interest in machine learning and NLP; Ideally past experience as a research assistant and/or independent work on a research project related to Economics/ Finance/ Sustainability (e.g., thesis); The ability to independently and diligently solve challenging problems; Diligence and a love for precision and detail in, e.g., data cleaning; Reliability (e.g. with respect to promised deadlines, to-do lists); and Good written communication skills (e.g., providing proactive and clear updates by email).