Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Meeting the project deliverables within the project timeframe, which consists of the following responsibilities:
  • Continually update and collect data based on project requirement.
  • Perform data cleansing, preparation, visualization and analysis on the raw data provided by our collaborator
  • Develop and implement the MCMC-MC predictive algorithm
  • Perform algorithm testing and evaluation
  • Work closely with our collaborator to collate feedback for algorithm design
• Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI
• Assists PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects
• Prepares and shares fortnightly report of results from project work with PI
• Support and coordinate procurement and maintenance of the software/hardware under the charge of the PI
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Requirements

• Have relevant competence in the areas of data analytics, python programming and are familiar with data analytics software and platforms like JupyterLab, PyMC3 libraries, SciPy ecosystem, scikit-learn libraries.
• Knowledge in Bayesian inference techniques and statistics will be advantageous.
• A good Master or Ph.D degree in Data Science or Engineering from a reputable university.
• Fluent verbal and written communications.