Research Engineer / Research Assistant (HVAC AI-Driven Energy Optimization)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-Research-Assistant-%28HVAC-AI-Driven-Energy-Optimization%29/34452-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is seeking a highly motivated Research Engineer (RE) or Research Assistant (RA) to join our team. This role focuses on the development, deployment, and validation of next-generation, AI-driven energy optimization solutions for industrial HVAC systems.

This is a full-time position with a contract duration of one (1) year, renewable subject to performance and funding availability.
Core Responsibilities
. Algorithm Deployment: Implement, test, and validate AI-driven HVAC optimization algorithms on industrial PC (IPC) platforms for real-time edge execution.
. Data Integration: Establish data acquisition pipelines from chillers, Air Handling Units (AHUs), Cooling Towers (CTs), and pumps using BMS/BACnet/Modbus protocols.
. Closed-Loop Control: Inject computed optimal parameters back into the active Building Management System (BMS) to achieve measurable energy reductions.
. Field Testing & Auditing: Conduct on-site commissioning, calibration, and rigorous performance validation against established baseline energy profiles.
. Hardware Evolution: Progressively design and integrate embedded hardware systems aimed at eventual full-scale replacement of legacy BMS units.
. Documentation & Support: Draft technical documentation, project reports, and high-impact academic publications while supporting peer researchers on field activities.

Application Process
Interested applicants should submit the following documents to the NUS Career Portal:
1. A comprehensive Curriculum Vitae (CV).
2. A brief cover letter detailing relevant technical and research experience.
3. Contact information for two (2) professional or academic referees.

Please indicate your earliest available start date in the subject line. Only shortlisted candidates will be notified.

Qualifications

. Min a Bachelor's degree (BEng/BSc) with a strong academic record and a proven technical background in HVAC systems.
. HVAC Systems: Solid working knowledge of chiller plants, AHUs, cooling towers, hydraulic pumps, and their sequential control logics.
. Industrial Communication: Familiarity with BMS architectures and industrial protocols (BACnet, Modbus, OPC-UA) or PLC/SCADA integration.
. Software & Hardware: Intermediate proficiency in Python, C++, or MATLAB. Hands-on experience with industrial PCs, edge gateways, or embedded controllers is highly advantageous.
. Industry Exposure (Desirable): Prior experience in building energy audits, retro-commissioning, or smart building management systems.
. Soft Skills: Professional proficiency in English with strong technical writing and verbal presentation capabilities.