Postdoc position in the field of process monitoring (a)

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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.

The research activities from the Intelligent Manufacturing Group are divided into two aspects: First, it is to gain a fundamental understanding of dynamical processes, e.g. laser processing, tribology, fracture mechanics and predictive maintenance. Second, we focus on development of new in situ and real-time monitoring/control systems to ensure process stability and quality of the investigated processes.

Postdoc position in the field of process monitoring (a)

Your tasks

  • Demonstrating a clear and succinct comprehension of current quality control and quality assurance standards within the manufacturing industry
  • Establishing reliable databases and a real-time streaming environment for processes to build a data-centric manufacturing ecosystem
  • Empowering intelligent manufacturing by implementing machine learning-based monitoring and control techniques across diverse processes
  • Striving to be a pioneer in the field of explainable and physics-informed machine learning for enhancing manufacturing processes harnessing sensor data signatures

Your profile

  • You have completed a PhD in the field of physics, engineering, material science, or other close disciplines
  • You are willing to collaborate in a multi-discipline team with other researchers of the lab of Advanced Materials Processing but also with EPFL and industrial partners
  • Mandatory requirement: Possesses hands-on experience in coding, signal processing, and deep learning frameworks
  • Mandatory requirement: Willingness to carry out experimental laboratory work, e.g. sensorizing these processes using acoustic and optical detectors to capture their transformations
  • Nice to have: Experience in laser based materials processing
  • Additionally, aiming to advance expertise in prognostics and pattern recognition, particularly within the domain of tribology (triboinformatics), to evaluate the ageing process in tribological contacts
  • You have experience in supervising and/or coaching PhD or master students
  • Experience in preparing scientific reports (deliverables) and publishing in scientific journals
  • Excellent knowledge of English: written and oral

Our offer
We offer you a challenging and varied area of responsibility in a dynamic, nationally and internationally oriented research environment with a very well-equipped infrastructure. The position is initially limited to 1 year with the option for an extension of another year with very good performance. You will be working at Empa Thun, near Bern.

«a» stands for «all» in our job advertisements. We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities - that's what counts.

We look forward to receiving your complete online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.

Job details

Postdoc position in the field of process monitoring (a)
Ueberlandstrasse 129 Dübendorf, Switzerland
Application deadline
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About the employer

Empa, the Swiss Federal Laboratories for Materials Science and Technology, conducts cutting-edge materials and technology research.

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