Senior Scientist

7 months ago


Singapur, Singapore A*STAR Full time

Roles & Responsibilities

·Lead a semiconductor device fabrication inline metrology team, and plan growth of this team into the next phase with a size of ~7 people over the next 3 years.

·Apply for grant fund to set up a best-in-class failure analysis capabilities including Atom Probe Tomography (APT) or equivalent techniques.

·Key role encompassing atomic scale investigation of defects in semiconductor materials & devices interfaces, particularly in quality improvement of Silicon Carbide (SiC), Gallium Nitride (GaN), and Indium Phosphide (InP) device materials.

·Establish measurement and detection recipes to ensure good inline process control.

·Improve measurement and detection strategy and methods to continuously strengthen performance.

·Identify and resolve measurement and detection issues and related problems.

·Define and implement measures to enhance stability, yield, and reliability.

·Plan and implement sustainable corrective actions to address measurement deviations.

·Plan and evaluate through supplier demos and tool evaluation to add inline measurement and failure analysis detection capabilities.

·Prioritize resources internally and/or through external suppliers to close any gap.

·Work with other fab teams in establishing statistical process control for all processes.

·Generate and present reports to both internal and external customers.

Requirements

·Master/PhD Degree in Electrical Engineering, Materials Science and Engineering, Chemical Engineering, Chemistry, or related fields

·> 10 years semiconductor wafer fab experience for inline metrology and failure analysis. Experiences in SiC, GaN, and InP a plus.

·Broad semiconductor device materials knowledge and extensive hands-on experience on inline measurement and detection techniques is a must.

·Highly proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions.

·Proficient in teaching and knowledge sharing to junior staff members.

·Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

·Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.



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