Learning to match applicants to job profiles

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The proposed research activities will help to improve capabilities in matching prospective job applicants tojobs posted by hiring managers seeking suitable candidates. This is a research endeavor grounded in machinelearning, data science and neural networks towards extracting maximum value from data, and providing bestpossible matches, and outcomes in hiring.The proposed research will help with decision making based on large and heterogeneous data, also providingnew capabilities, and scalability in new directions with potential for exponential growth. Data consideredranges from text based candidate descriptions to more targeted measures that inform on quality of fit in fillingjobs.Modern advances in AI and deep learning will be applied, alongside careful principles of system design toprovide optimal matches, and successful outcomes post-hire.