COMPANY OVERVIEW:
INFICON is a leading provider of innovative instrumentation, critical sensor technologies, and Smart Manufacturing/Industry 4.0 software solutions that enhance productivity and quality of tools, processes, and complete factories. These analysis, measurement and control products are essential for gas leak detection in air conditioning/refrigeration and automotive manufacturing. They are vital to equipment manufacturers and end-users in the complex fabrication of semiconductors and thin film coatings for optics, flat panel displays, solar cells and industrial vacuum coating applications. Other users of our vacuum-based processes include the life sciences, research, aerospace, packaging, heat treatment, laser cutting and many other industrial processes. We also leverage our expertise in vacuum technology to provide unique, toxic chemical analysis products for emergency response, security, and environmental health and safety.
Apply your mastery of state-of-the-art machine learning technologies to difficult problems on noisy high-dimensional data. Work in a multi-disciplinary team that includes experts in Physics, Computer Science, Mathematics, Chemistry, Electronics, Environmental Applications, and Semiconductor Manufacturing. The group develops algorithms to process faint signals buried in noisy spectral data to help build advanced semiconductors, predict failures, monitor the environment, and protect people\'s lives from toxic chemicals.
This position is located at INFICON\'s U.S. Headquarters, in E. Syracuse, New York.
Position Overview:
In this role you will lead and advise a group applying state-of-the-art machine learning technologies to difficult problems on noisy high-dimensional data. This team works in a multi-disciplinary team that includes experts in Physics, Computer Science, Mathematics, Chemistry, Electronics, Semiconductor Manufacturing, and Environmental Applications. Research topics will have high visibility due to high potential to increase the value of global products.
You will be given ample freedom to explore a wide range of novel approaches, you will work closely with scientific and business colleagues on large amounts of sensor data, and focus on writing high value code.
Responsibilities:
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