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Job Description

• Conduct literature review on Conformal Prediction regularly, an important domain in machine learning.
• Perform programming tasks in Python to reproduce existing results and to try out different algorithm designs.
• Regular discussions with the supervisor (myself) on formulating important research problems and brainstorming for solutions.
• In collaboration with myself and my research team, construct mathematical models that capture meaning problem formulations, and identify why existing methods are insufficient.
• In collaboration with myself and my research team, develop solutions in the form of algorithm design and analysis. The analysis involves mathematical proofs and empirical evaluations with real data.
• Prepare slides and/or posters for research conference presentations.

Job Requirements

• A strong foundation in mathematics, with a bachelor's degree (or above) in mathematics, computer science or engineering degree related to data science.
• The ability in conducting basic research, with skillsets including understanding research papers published in ICML/NeurIPS/ICLR. The candidate should be able to understand the model, the algorithm(s), the main results and the proofs in a paper.
• Proficiency in Python, particularly in data-analytic related tasks.
• Proficiency in scientific writing.
• Willingness to learn new knowledge on conformal predications, particularly in the latest development.
• Communication skill, particularly the ability in articulating and discussing scientific ideas.
• The ability to cooperate with other people.
• An interest in exploration scientific research career in machine learning / operations research.