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Responsibilities:
• Collaborate with plasma process domain experts to develop and implement plasma process optimization methods and workflow.
• Leverage fundamental plasma process knowledge, equipment and diagnostic sensor technologies in building machine learning pipelines.
• Improve model interpretability using technologies like causal inference.
• Address challenges in building high-accuracy and high-fidelity plasma process prediction and control models.
• Present project status to stakeholders and key leaders.
• Communicate with team members and cross-functional teams to achieve project goals.
Qualifications:
• Pursuing a M.S. or Ph.D. degree in Statistics, Data Science, Computer Science, Control System, Plasma Physics, Chemical Engineering, or related field.
• Knowledge of applied machine learning. Ideal candidate has experience applying causal inference and implementing physics informed neural networks (PINN).
• Experience with MATLAB, Python or C++
• Excellent written and verbal communication skills
• Excellent presentation skills
Equal Opportunity Employer/Minorities/Females/Disabled/Veteran
Individual pay is determined based on multiple factors, including but not limited to location, experience, skills, job-related knowledge, relevant education, certifications, and/or training. In addition to base salary, we offer (full time regular employees ) a comprehensive benefits package and for certain roles eligibility in our bonus plan and long-term incentives as applicable. The talent advisor can share more details about total compensation for the role in your location during the hiring process.
Diversity creates an innovative culture. TEL US is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
