Job Description:
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
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