Students on the Market

STUDENT PLACEMENT

Every year around 50% of ORC’s graduating doctoral students accept academic positions in leading universities around the world. The other 50% of graduating doctoral students and all of our Master’s and Master of Business Analytics students find jobs in leading companies around the world.

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Graduate Student Directory

The Graduate Student Directory is a booklet of ORC student resumes that is compiled each year and is circulated to universities and private companies. The primary focus of this effort is on permanent job placement; however, students have also had success in finding summer jobs through this vehicle. Employers who are interested in hiring a student can contact the student directly.

The latest Graduate Student Directory can be found here. We hope that you will take a moment to look through this document, because it gives a profile of a representative sample of the student population of the ORC, which seems to grow stronger each year.

Students on the Market

A listing of ORC students on the job market.

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Research Interests: My research focuses on retail operations management, integrating principles from operations management, optimization, and machine learning to address the complexities of the retail sector. I am particularly interested in studying how the retailer’s optimal policies are impacted by different factors such as complementarity and substitution cross-item effects, and manager and customer behavior.

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Research Interests: My general research interests are in optimization and machine learning: using optimization to learn better and make better decisions for optimal control problems, for instance using decomposition methods for large scale problems to better train classifiers, stochastic optimization. Interested in investigating how mathematical programming could enhance reinforcement learning, learning constraints and objective function.

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Research Interests: My research lies in the intersection of deep learning and discrete optimization with applications in neural network optimization for decision making, causal ML, counterfactual explanations, hierarchical time series, LLMs, and healthcare.

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Research Interests: My research interests focus on online optimization, with particular applications in Large Language Model (LLM) inference and classical revenue management. I am looking for an academic position where I can continue my research in these fields, and where I can teach undergraduate and graduate students.