Research Fellow / Engineer (Equipment Health Management) - ZJH1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT); Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

A University of Applied Learning is seeking a Researcher to join their Future Ship and System Design programme focused on maritime innovation. You will contribute to advanced research projects related to FMECA, functional analysis, and ship sensing technologies. The ideal candidate will have a degree in Electrical or Mechanical Engineering and possess strong skills in data analytics, programming, and critical thinking. This full-time role is based in Singapore with responsibilities including managing project deliverables and coordinating with diverse stakeholders.

Qualifications

• Ability to work independently and in teams to maintain equipment.
• Knowledge of shipboard systems and reliability analysis.
• Experience in FMECA and equipment health management.

Responsibilities

• Manage and execute research projects ensuring deliverables are met.
• Develop an FMECA analysis solution integrating condition monitoring data.
• Conduct experiments simulating ship fault conditions.
• Liaise with stakeholders regarding project deliverables.

Skills

FMECA analysis

Sensing technologies

Data analytics

Machine learning

Risk assessment

Critical thinking

Education

Degree in Electrical Engineering or Mechanical Engineering

Job description

Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Engineering Researcher Profile First Stage Researcher (R1) Country Singapore Application Deadline 10 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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 Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime industry in Singapore and globally.

Within this programme, Work Package WP2.2 focuses on research in several key areas: design Failure Modes, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels.

The primary responsibility of this role is to contribute to research in design FMECA, functional FMECA, and ship sensing, as part of the WP2.2 research team within the FSSD programme.

Key Responsibilities

• Work closely with the Principal Investigator (PI), Co-PI, and research team members to manage and execute the project, ensuring that all deliverables are successfully achieved.
• Key responsibilities in this project include:
• Developing an FMECA analysis solution that integrates condition monitoring data to update actual failure modes, effects, and severity assessments.
• Designing and conducting experiments to simulate various ship fault conditions, implementing sensing for data collection, and developing an equipment health monitoring system.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• The Research staff is to liaise with all relevant internal and external stakeholders to ensure project deliverables are met.
• Any other adhoc duties as assigned by Supervisor.

Job Requirements

• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Have relevant knowledge in the areas of shipboard system design, FMECA and reliability analysis.
• Have a degree in Electrical Engineering/Mechanical engineering or equivalent.
• Knowledge ofsensing, FMECA, equipment health managementand programming will be advantageous.
• Knowledge of intelligent decision agents based on graph neural network or similar will an advantage.
• Good knowledge in reliability analysis.
• Experience in FMECA and equipment health management will beadvantageous.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

• Integrating Multidisciplinary Knowledge.

  The role requires expertise across multiple domains—FMECA, sensing technologies, data fusion, data analytics, and machine learning. Combining these diverse skill sets to develop a unified and reliable solution can be technically demanding.

• Complexity of Ship Systems.

  Ship systems are large-scale, interconnected, and subject to complex operating conditions. Accurately modelling failure modes, effects, and criticality requires deep domain knowledge and careful analysis.

• Collecting High-Quality Sensor Data. Simulating Realistic Fault Conditions. Developing Reliable Fault Prediction Models. Ensuring System Integration and Practical Deployment
• Meeting Project Milestones and Deliverables