Senior Scientist

2 weeks ago


Singapore A*star Research Entities 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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