Postdoctoral Researcher in Machine Learning

ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice.  

The Medical Data Science Research Group, led by Professor Julia Vogt at ETH Zurich, is seeking a highly motivated postdoctoral researcher with a strong background in machine learning. This position offers an exciting opportunity to work in an interdisciplinary environment at the crossroads of machine learning, medicine, and healthcare.
 
The successful candidate will collaborate closely with faculty, graduate students, and interdisciplinary partners from the medical field. The focus will be on addressing foundational machine learning challenges, particularly in applying these methods to precision neurorehabilitation for gait improvement in stroke and Parkinson's Disease patients. Typical challenges in this field include extensive time-series data stemming from different sources like wearables or EEGs. These challenges necessitate the development of new methods for efficiently analyzing large longitudinal clinical datasets to gain insights and make predictions about recovery of patients, identifying differences in learning abilities, and characterizing gait deficit patterns.
 
This role provides a unique opportunity to engage in basic and translational science, bringing cutting-edge machine learning techniques into impactful medical applications. Areas of interest for this position include, but are not limited to, time-series modeling, generative models, integrating multi-modal data or interpretable and explainable machine learning. 

• Ph.D. degree in Computer Science, Mathematics, Statistics, or related fields, with a strong publication record in top conferences such as NeurIPS, ICML, ICLR, AISTATS, AAAI, KDD, JMLR, etc.
• Experience in working on real world medical data or applied projects is a plus, and applicants must bring a keen interest in the problems of the field
   

• Numerous benefits and flexible, family-friendly working conditions
• Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
• We are actively committed to a sustainable and climate-neutral university
• Equal Opportunities and Diversity