Software Engineer

Tetra Pak is the world's leading food packaging and processing solutions company. Working closely with our customers and suppliers, we provide safe, innovative and environmentally sound products that each day meet the needs of hundreds of millions of people in more than 170 countries around the world. With over 23,000 employees based in over 85 countries, we believe in responsible industry leadership and a sustainable approach to business. Our motto, “PROTECTS WHAT’S GOOD™," reflects our vision to make food safe and available, everywhere. More information about Tetra Pak is available at www.tetrapak.com Tetra Pak’s automation & digital initiatives is one of the fastest growing areas of innovation and development. We have high ambitions in automation and in digitalizing our business. Digitalization is happening all around us. It is fast paced and disruptive in its nature, and we are determined to be the first in our industry to harness its potential. Automation&Digital in Tetra Pak’s Development organization is responsible for developing products and service enablers with transformational automation and digital technologies. The Automation&Digital organization is engaged in the development of new technologies for Tetra Pak Equipment and Services as well as new Digital products based on the digitalization of our packaging material. In the area of high level SW development the organization is being specialized in Industrial IoT Data Systems with technology ranging from sensors and control domain to plant software to cloud based software . This position is based in Modena, Italy Responsibilities: Responsible for Model Based Analytics on equipment, with particular focus on equipment in development and independent carts applications, for applications of Condition Monitoring. The role is as a consequence to expose the right features, in order to enable application of an effective Statistical Process Control or Machine Learning or Deep Learning for incipient fault prediction, of components or of functions. . Qualifications: A M.Sc. in Engineering (Mechatronics or Automation or Systems&Controls) for having the domain knowledge is mandatory; Minimum 3 yrs experience in application of analytics for Condition Monitoring of above mentioned applications. Ph.D. in the field is beneficial. Male or Female applicants to the position are appreciated. Only applications in English will be considered. Please submit your application not later than March 25th . ...