Psychological and neurological disorders such as depression and dementia are among the most common illnesses worldwide and represent a severe burden on society. Understanding these illnesses and ...

The team of the Registar's Office assist students with administrative matters and provide them with advice during the course of their studies. Our office also serves as an information and placement ...

We are currently experiencing performance issues with our DiriX Identity Web Center (https://passwort.ethz.ch). This may result in delays when resetting passwords and/or MFA. We apologize for any ...

ETH Zurich offers its employees stimulating work and an excellent infrastructure. In return, it expects them to deliver outstanding performances. The conditions of employment are based on the Swiss ...

You will find information and useful links regarding registration and authorisation requirements, minimum and average wages, self-employment, social services and unemployment among foreign nationals ...

Become a member of the ETH Alumni Association! Join a fantastic global network of alumni and alumnae and benefit from many advantages. Learn more in the video below. Through this unified network, ...

After compulsory schooling, there are two educational routes in Switzerland: vocational education or upper-secondary school. There are plenty of further education options open to you during the course ...

In order to pursue an academic career, it is important to gain experience as a researcher. Scholarships can be applied for before, during or after the dissertation - for research stays abroad, or at ...

ETH Zurich and EPF Lausanne (EPFL) are intensifying their collaboration in artificial intelligence (AI). They have founded the Swiss National AI Institute (SNAI) with the aim of addressing challenges ...

An international team of researchers combine orbital imagery with seismological data from NASA’s Mars InSight lander to derive a new impact rate for meteorite strikes on Mars. Seismology also offers a ...

A new textile sensor measures body movements very precisely without the need for electronic components such as batteries or chips. Integrated into work and sports clothing, the sensor can predict in ...

Researchers at ETH Zurich have created the heaviest Schrödinger cat to date. For this, they combined an oscillating crystal with a superconducting circuit. They hope to better understand the reason ...