Research Assistant Position: Development of Rail Roughness Measuring Technique and Big Data Analysis 100%, Zurich, fixed-term

vor 1 Monat

Zurich, Schweiz ETH Zürich Vollzeit
Research Assistant Position: Development of Rail Roughness Measuring Technique and Big Data Analysis 100%, Zurich, fixed-termprint Drucken 

The Institute of Machine Tools and Manufacturing (IWF) under the Department of Mechanical and Process Engineering (D-MAVT) is an international leading research group on machine tools and in the field of production engineering. Recent topics of research focus on novel technologies such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data analysis and Industry 4.0.

Project background

The increasing velocity of trains, now reaching up to 250 km/h, creates a significant amount of noise. It is mainly generated by the aerodynamics and the rail-wheel interaction. Due to this interaction, the so-called rolling noise is emitted, contributing significantly to the overall acoustic pollution. The results of sonRAIL study showed direct correlation between the noise development and the surface quality of rail and wheel, thereby creating the willingness to precisely measure this quantity. Unfortunately the existing methods do not allow for a fast and precise evaluation of the rail roughness, making it impossible to keep track of the rail surface status. The high velocity of the train is just one challenge among many that such a measuring device shall overcome. For instance, another major problem would be the data processing. Artificial Intelligence will possibly be used for feature extraction out of the huge amount of data. State of the art dry grinding technology of railways induces increasing noise after the grinding process. The noise only decreases after some train overrun, which smooths the surface of the rails. A closed loop system with integrated Machine Learning for the detection of optimal process parameters for railway grinding needs to be developed, in order to improve the process itself as well as the general track maintenance.

Job description

For this industry related research project, we are looking for a research assistant who can support the project. You will be working on the development of methodology and algorithms to accurately measure surface roughness at high speed using contactless sensors. Consequently, the developed product will need to be tested and evaluated in the lab, as well as in the real world, on running trains. Theoretical consideration and modeling will then be combined with experimental tasks. In a second step, the candidate will need to establish a method to deal with such an enormous amount of data and make it usable for the clients. This will open doors for diving into Machine Learning and Big Data analysis, also related to the predictive maintenance of the rail network or to the grinding process optimization.

Your profile

We are looking for a highly motivated, self-organized and eager to learn candidates holding a Master's degree in Engineering or Physics. Qualified candidates should have the following capabilities:

  • Good knowledge of data analysis and signal processing 
  • Interest in metrology and measuring techniques
  • Programming experience, preferably in Python and LabView
  • Competences in Information Technology 
  • Languages: fluency in German and English
Your workplace Your workplace We offer

ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.

chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we.

We look forward to receiving your online application with the following documents:

  • Curriculum Vitae
  • Motivational Letter
  • Trascript of records
  • Ev. reference letters

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about D-MAVT and IWF can be found on the following websites:

  • D-MAVT
  • IWF

For any further questions regarding this position please refer to Dr. Michal Kuffa (kuffa@iwf.mavt.ethz.ch).

About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

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