High-Frequency Ultrasound Imaging Research Engineer

Singapore Institute of Technology; Singapore; On-site; SGD 45,000 - 65,000; Full time

Job summary

The Singapore Institute of Technology is seeking a Research Engineer/Assistant specialized in ultrasound imaging. This role involves supporting the implementation and testing of a high-frequency ultrasound research platform through data acquisition and software development.

Candidates should have a relevant MTech or MSc degree and be experienced in signal processing, electronics, and programming. The position offers a collaborative environment focused on research and development.

Qualifications

• Good knowledge of electronics and instrumentation.
• Hands-on experience in programming and data collection.
• Familiarity with ultrasound imaging and machine learning is desirable.

Responsibilities

• Assist in the development and testing of imaging algorithms.
• Support experimental setup and data collection.
• Help prepare documentation for project reviews and publications.

Skills

Signal processing

Imaging

Programming in Python

Data handling

Biomedical instrumentation

Education

MTech, MSc, or equivalent in related field

Tools

MATLAB

C/C++

Job description

Job Description

Research Engineer/Research Assistant in Ultrasound Imaging - MPR

Job Description

Research Engineer/Research Assistant in Ultrasound Imaging - MPR

Posting Start Date: 29/05/2026

Schemes of Service: Research

Division: Infocomm Technology

Employment Type: Fixed Term

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.
  
  

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.
  
  

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities.