Research assistant with possibility for PhD – Optimization of Railway using Artificial Intelligence with Physical Models

Research assistant with possibility for PhD – Optimization of Railway using Artificial Intelligence with Physical Models

100%, Zurich, fixed-term

The Institute of Machine Tools and Manufacturing (IWF) at the Department of Mechanical and Process Engineering performs international leading research on machine tools and in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry 4.0. For a new industry related research project, we are looking for a new PhD.

Job description

A considerable portion of the noise produced by trains stems from rolling noise, primarily influenced by the roughness of both the wheel and the rail surfaces. Accurately evaluating noise generation at the wheel-rail interface requires measuring the roughness of the rail network. Traditional direct measurements with trolley devices require unobstructed tracks and have speed limitations. Indirect methods, like measuring axle-box accelerations, allow measurements during regular operations but only provide rough estimates of acoustic roughness. This project explores the feasibility of a non-contact measurement approach using optical laser triangulation sensors to gauge rail roughness from moving trains.

Your profile

You have to have a master's degree preferably in Mechanical Engineering. The position is coupled with the possibility of a PhD study at ETH Zurich. Qualified candidates should have the following capabilities:

• Experience and interest in experimental working
• Interest in railway
• Good knowledge of data analysis and signal processing
• Programming experience
• Competences in Manufacturing Technology

You are highly motivated and eager to learn. In addition, you like to combine theoretical considerations and models with experimental tasks and have valuable technical skills. Through close cooperation with our project partners, you will quickly establish contacts with the Swiss industry. In our young teams, you will work at the forefront of today's knowledge in manufacturing. We offer a modern working environment in a young and motivated team and an interesting topic in a fast-growing field of research.

Your workplace

Your workplace

We value diversity

Curious? So are we.

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

• a letter of motivation
• CV
• diplomas

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

For further information, please contact Prof. Dr.-Ing. Markus Bamabch: mbambach@ethz.ch, or Dr Michal Kuffa: kuffa@iwf.mavt.ethz.ch (no applications).

About ETH Zürich

Curious? So are we.

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

• a letter of motivation
• CV
• diplomas

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

For further information, please contact Prof. Dr.-Ing. Markus Bamabch: mbambach@ethz.ch, or Dr Michal Kuffa: kuffa@iwf.mavt.ethz.ch (no applications).