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.
INFICON's Data Science Research group in Syracuse NY conducts research to analyze data from sensors and to identify events of critical importance to our customers. The group develops algorithms to process faint signals buried in noisy spectral data to help build advanced semiconductors, predict failures, and protect people's lives from toxic chemicals.
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.
In this job 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.
- Lead and coach a team of scientists and researchers applying advanced techniques to large multi-dimensional spaces
- Take an active role to global data analytic initiatives
- Research and develop models for identification of chemical compounds in sensor data from instruments
- Develop experiments and software to collect and process datasets for training and testing of your models
- Qualify and quantify performance of prototypes, both in the lab and in the field
- Aid in the intellectual property strategy of INFICON
- PhD or equivalent in Computer Science or Applied Mathematics, with specialization in Data Science and Machine Learning is highly desire. However, all with relevant experience are encouraged to apply
- At least 3 years' experience managing a research team or group
- Fluency with Python, Linux, Scientific Computing, and Machine Learning Libraries
- Accomplished Software Developer with experience training and testing ML modules on large data sets
- Signal processing
- Demonstrated ability with statistical ML and with neural networks
- Published papers and/or code for analyzing sensor data or process control data
- Prior work with unsupervised or semi-supervised ML for anomaly detection
- Experience with pyTorch or Tensorflow
- Experience with multivariate time series analysis and modeling techniques
- Knowledge of Physics or Chemometrics or Process Control
- C++ Software Development
INFICON provides a dynamic work environment that promotes diversity, equity, and inclusion. Our employees experience on going green initiatives, flexible work hours, and a variety of health and wellness programs.
INFICON's forward thinking approach offers countless opportunities to design, support, and manufacture a diverse product portfolio that expands globally. Our Lean and Agile work environment offers a competitive salary, relocation assistance, a discretionary bonus and generous employee benefits; major medical, dental, health, vision, 401K, PTO, tuition reimbursement and more!
- 3 year(s): At least 3 years' experience managing a research team or group
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)