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Research scientist to work under the supervision of Professor Pradeep George in process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background
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process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background in the area of Computational Fluid Dynamics. Familiarity with response surface
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training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision
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science, psychology, sociology, communication, human-computer interaction, statistics, applied mathematics, or a closely related discipline. Required Qualifications: Evidence of the ability to define and
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before starting—in computer science, electrical or computer engineering, information science, or a closely related discipline. Less than 5 years post receiving the Doctoral degree. Meet the mandatory
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ecosystems. We seek an outstanding researcher who already has a demonstrated record of publishing rigorous work in leading AI, NLP, Web, computational-social-science, human-computer-interaction, or
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North American-style higher education is highly desirable. APPLICATION PROCEDURE: A complete application consists of two PDF files. The first file should include a cover letter, a teaching statement and a
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and biophysics, good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is highly desired. Experience in molecular simulation softwares and analysis tools such as
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candidate must be available to start immediately and should bring a minimum of six years of relevant research experience, together with at least a Master’s degree in Computer Science, Computer Engineering
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conduct independent research on high-throughput COF synthesis, focusing on their scalability and practical application. Key responsibilities include builidng automated setups, designing devices, processing