Research Engineer (AI for NDE) IPV, ARTC

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; USD 50,000 - 90,000; Full time

Job summary

An innovative organization is looking for a passionate Research Engineer to contribute to cutting-edge AI-driven solutions in ultrasonic inspection technologies. This role involves hands-on experimentation and the development of advanced algorithms to enhance defect detection and classification. You will collaborate with cross-functional teams, implementing machine learning and deep learning techniques to automate inspection workflows. If you're eager to drive innovation in inspection technologies and thrive in a dynamic environment, this opportunity is perfect for you.

Qualifications

• Experience in AI-driven ultrasonic inspection and signal processing.
• Proficient in programming languages like Python and MATLAB.

Responsibilities

• Develop AI-enhanced signal processing for ultrasonic testing.
• Collaborate with teams to deliver high-quality inspection solutions.

Skills

Signal Processing

Machine Learning

Deep Learning

Problem Solving

Communication

Education

Bachelor's Degree in Computer Science

Master's Degree in Electrical Engineering

Tools

Python

MATLAB

C++

TensorFlow

PyTorch

Job description

Job description

We are seeking a talented and motivated Research Engineer to join our team in developing cutting-edge AI-driven solutions and automated NDE (ultrasonic) technologies for advanced inspection systems. This role involves designing and implementing AI-enhanced signal processing, machine learning models, and automated data interpretation to tackle complex inspection challenges in various industrial applications. If you are passionate about AI, ultrasonic inspection, and solution design, we would love to hear from you.

Responsibilities:

• Perform hands-on experimentation using ultrasonic testing technologies, integrating AI enhanced signal processing to improve defect detection and classification.

• Research and develop ultrasonic testing techniques, including advanced phased array algorithms and AI models based on inspection requirements.

• Implement AI (machine learning and deep learning techniques) to enhance ultrasonic data interpretation, defect characterization, and automation of inspection workflows.

• Collaborate with cross functional teams to understand project requirements, translating into tasks and deliver high quality solutions

• Document research findings, experimental results, and developed AI-assisted ultrasonic inspection methodologies for future reference and knowledge sharing.

• Stay updated with the latest advancements in ultrasonic testing, AI, and automation to drive continuous innovation in inspection technologies.

Job Requirements:

• Bachelor?s or Master?s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.

• Experience in AI-driven ultrasonic inspection, including signal processing, machine learning, and deep learning applications for defect detection and classification.

• Proficiency in programming languages such as Python, MATLAB, or C++, with experience in AI frameworks (TensorFlow, PyTorch) for ultrasonic data processing being a plus.

• Strong problem-solving and analytical skills, with the ability to develop innovative inspection solutions.

• Strong communication and excellent writing skills.

• Self-motivated and able to work independently, while also being a team player with strong communication skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.