Scientist/ Senior Scientist,ARTC

3 weeks ago

Singapore A*star Research Entities Full time

ARTC is looking for an innovative and experienced researcher to join the Remanufacturing Process Technology group. The candidate will focus on the integration of Machine Learning (ML) and Artificial Intelligence (AI) applications in various aspects of machining and remanufacturing processes. As a key member, the candidate will contribute to advancing the field of remanufacturing through innovative technologies such as automatic tool path generation, adaptive machining, computer vision, condition monitoring, and sustainability initiatives. The role will focus on research, development, and implementation of algorithms tailored to enhance machining operations and efficiency.

Responsibilities:

-Research and Development: Conduct in-depth research to identify opportunities for applying ML and AI techniques in machining processes. Stay updated with the latest advancements in ML/AI technologies and machining methodologies.

-Algorithm Development: Design, develop, and implement algorithms for 3D data analysis for feature recognition and machining strategy selection for automatic tool path generation, and adaptive machining. Collaborate with cross-functional teams to integrate these algorithms into existing machining systems.

-Computer Vision: Develop digital image processing algorithms for defect detection, repair zone localization, and feature measurement using computer vision techniques.

-Data Analysis: Analyse large datasets generated from machining operations to identify patterns, anomalies, and optimization opportunities. Develop predictive models to optimize machining parameters and improve overall efficiency.

-Prototype Development: Work closely with engineering teams to build prototypes and proof-of concepts showcasing the effectiveness of ML/AI applications in machining. Conduct experiments to validate the performance and robustness of developed solutions.

-Sustainability Initiatives: Explore ways to leverage ML/AI techniques for sustainable machining practices, such as energy efficiency optimization, waste reduction, and environmentally friendly material selection.

-Documentation and Reporting: Prepare technical reports, documentation, and presentations to communicate research findings, project progress, and recommendations to stakeholders. Publish research papers in relevant journals and present findings at conferences and seminars.

-Technical Innovation Culture: Mentor and coach interns, fostering a culture of technical innovation and excellence.

Job Requirements

-Ph.D. in Computer Science, Mechanical Engineering, or related field with a focus on machine learning, computer vision, or deep learning.

-Proven experience in developing and implementing ML/AI algorithms, preferably in the context of manufacturing or machining.

-At least 5 years of experience

-Proficiency in programming languages such as Python, MATLAB, or C/C++, and familiarity with ML/AI libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

-Strong analytical and problem-solving skills, with the ability to work with large datasets and derive actionable insights.

-Experience with digital image processing algorithms, image classification, anomaly detection, and image segmentation.

-Experience in software architecture design and techniques like micro services.

-Prior experience with CAD/CAM software, CNC machining, and familiarity with machining processes and equipment is advantageous.

-Demonstrated ability to innovate and contribute to patentable technologies.

-Excellent communication and collaboration skills, with the ability to work effectively in a global, cross-functional team environment.

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.

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