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.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Industrial Systems Engineering and Management

Employee Referral Eligible: No

Job requisition ID : 29178