Research assistant with possibility for PhD – Optimization of Railway using Artificial Intelligence with Physical Models
13 Apr 2024
Job Information
- Organisation/Company
ETH Zürich- Research Field
Computer science » Other
Engineering » Mechanical engineering
Engineering » Other- Researcher Profile
First Stage Researcher (R1)- Country
Switzerland- Application Deadline
11 Jul 2024 - 21:59 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
41- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Research assistant with possibility for PhD – Optimization of Railway using Artificial Intelligence with Physical Models
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.
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 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: [email protected] , or Dr Michal Kuffa: [email protected] (no applications).
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.
Requirements
- Research Field
- Computer science
- Years of Research Experience
- 1 - 4
- Research Field
- Engineering
- Years of Research Experience
- 1 - 4
- Research Field
- Engineering
- Years of Research Experience
- 1 - 4
Additional Information
- Website for additional job details
https://academicpositions.com
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- ETH Zürich
- Country
- Switzerland
- City
- Zurich
- Postal Code
- 8006
- Street
- Rämistrasse 101
- Geofield
Where to apply
- Website
https://academicpositions.com/ad/eth-zurich/2024/research-assistant-with-possib…
Contact
- City
Zurich- Website
https://ethz.ch/en.html- Postal Code
8006
STATUS: EXPIRED
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