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Natural Language Processing and the Hiring into Organizations
Emilio J Castilla
June 1, 2020
Professor Castilla studies how social and organizational processes influence key employment outcomes over time. He tackles his research questions by examining different empirical settings with longitudinal datasets, both at the individual and company levels. His focus is on the recruitment, hiring, development, and job mobility of employees within and across organizations and locations, as well as on the impact of teamwork and social relations on performance and innovation. For more information, please go to: https://mitsloan.mit.edu/faculty/directory/emilio-j-castilla.
Professor Castilla is currently looking for one MIT student to help with the use of natural language processing techniques to measure different aspects of applications, jobs and organizations. Ideal candidate should possess: 1) good knowledge of the field of Natural Language Processing, including sentiment analysis and clustering by topic; 2) familiar with machine learning: collecting text corpora (scraping and extracting text from HTML), preparing the data, and applying machine learning algorithms to classify the data and extract specific data fields (scikit-learn); and 3) Experience with automatic feature extraction and unsupervised topic clustering (gensim, word2vec). Also the ideal candidate needs to have a good understanding of natural language and the way it functions. Applicant should be well-organized, capable of working independently, dependable, and willing to take initiative. If interested, please send résumé with your contact information and interests to email@example.com (with Subject Title: NLP Research Project). In your email, please specify how much and what kind of research experience you have. Also tell us which programs you are familiar with for collecting.