Research Fellow/Engineer (Physics-Informed Neural Network (PINN)) - EA4

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:
  o Designing and programming the PINN algorithm in python specifically targeted at conjugate heat transfer application
  o Design and perform experiment, including selecting and rigging up sensor network, to accelerate PINN solution
  o Perform computational fluid dynamics (CFD) runs for validation of PINN solution
  o Improve efficiency of the PINN algorithm
   
• 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 python programming, internet of things (IoT) setup, sensors integration, python programming
• Familiar with data analytics software and platforms like JupyterLab, SciPy ecosystem, scikit-learn libraries, tensorflow libraries.
• Knowledge in Computational Fluid Dynamics, ability to use OpenFOAM is a bonus
• A good Bachelor, Masters or Ph.D degree in Data Science or Computer Engineering or Electrical Engineering from a reputable university.
• Fluent verbal and written communications.

Key Competencies

• Good self-discipline and motivated to deliver
• Show strong initiative and take ownership of work
• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills

Advertised: 26 Apr 2023 Singapore Standard Time
Applications close: 31 Dec 2023 Singapore Standard Time