苏黎世联邦理工

Applied computer science/ machine learning

项目介绍

Our research group in the field of Digital Health (Health Informatics/ Health Information Management) is looking for a new PhD student. We are located in the Department of Management, Technology, and Economics (MTEC) and represent the competence Core AI & Digital Biomarker, Acoustic and Inflammatory Biomarkers at the Centre for Digital Health Interventions.

Project background

Our research is driven by a strong desire to conquer the great challenges that our changing society poses to the healthcare system. In the 20th century, healthcare systems specialized in acute care. In the 21st century, we now face the challenge of dealing with the specific characteristics of chronic conditions. With the mass adoption of information and communication technology, new possibilities for the prevention and treatment of diseases in the everyday life of individuals have arisen. By leveraging these new technologies and drawing upon recent advances in artificial intelligence and statistical modeling, we strive to gain deep insights.

Job description

Different from a pure PhD in Computer Science or Mathematics, our work is more applied as we tailor mobile technology and advanced analytics to the specific requirements of the application. We are working on building cutting-edge end-to-end prototype systems for healthcare. Your office is located in the heart of Zurich – most likely Europe’s most compelling place to live. Your work will involve key players and startups in the healthcare sector. You will work with a highly motivated team of young researchers in a very pleasant atmosphere. In the past, the usual length for a PhD degree has been around three and a half years, for which funding is guaranteed. During this time, participation in conferences and voluntary exchange programs are also supported. The salary and general working conditions are internationally highly competitive and according to ETH standards.

Your profile

Ideally, you hold a Master’s degree in Electrical Engineering and Information Technology, Mechanical Engineering, Biomedical Engineering, Physics, or Computer Science (or a related field). Candidates must have great interest in new technologies and willing to learn. Programming experience is required. Fluency in the English and German language is highly recommended.

A tentative PhD candidate will be interested in the following topics:

  1. Health informatics   
  2. Machine learning / deep learning / artificial intelligence
  3. Acoustic and Inflammatory Biomarkers

Applicants will be screened continuously until the position has been filled.

项目概览

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欧陆, 瑞士 所在地点
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截止日期 2021-12-18
苏黎世联邦理工

院校简介

苏黎世联邦理工是国际研究型大学联盟、全球大学高研院联盟、IDEA联盟成员,是闻名全球的世界顶尖研究型大学,连续多年位居欧洲大陆高校翘首。
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联系方式

电话: +41 44 632 11 11

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