Research Engineer/Fellow (Development of Artificial Intelligence algorithm for air conditioning and chiller plants) AM

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. 

The primary responsibility of this role is to deliver on an industry innovation research project funded by BCA, where you will be part of the research team under a project titled: The synchronous AI-based algorithm to optimize the airside efficiency and resolve low delta-T syndrome in chilled water systems.

Under this job title, you will develop an algorithm to optimize the waterside of chiller plants, maintaining the differential temperature of chilled water supply and return temperatures within the design conditions (5-7 ℃). The algorithm development also includes the airside, and you will be closely working with our industry partner. You will also be tasked to manage the project and carry out the experiments to verify the energy savings potentials of the developed algorithm.

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.

• Undertake these responsibilities in the project:
• Assists in co-supervision of final year projects (FYP) or capstone projects for students under the Project PI.
• Meet the deliverables by carrying out the algorithm development, simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables.
• Assists the PI in drafting reports, conference proceedings, and journal articles based on the outcome of the projects.
• Prepares and shares fortnightly reports of results from the computations with the program director and PI.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Master or PhD (preferred) in Mechanical Engineering, Building Science, Data Science or related disciplines.
• Strong knowledge and experience in air conditioning systems and chiller plants are highly advantageous.
• Hands-on experience in experimental studies
• Familiarity with AI applications on industrial related projects using high-performance computing clusters would also be advantageous
• Strong foundation in thermal systems
• Strong prior experience in AI – particularly in algorithms related to energy savings application of the built environments
• Strong skills in building energy modelling using Energy plus, Equest and Python.
• Proficient in handling large data sets and the ability to analyze and interpret results using Tableau and Python
• Able to work independently with strong data analytical skills, communication and interpersonal skills.