项目介绍

2026年2月25日

Mission

The research focus of the M-Lab of Adaptive Intelligence is on merging artificial intelligence & neuroscience. We aim to understand the mechanisms underlying adaptive sensorimotor behavior in intelligence systems, aka “adaptive intelligence”, and develop new machine learning methods that enable us to do so.

We are looking for a Postdoc to support our research in studying predictive processes in neural circuits, especially sensorimotor. You will be part of the team led by Professor Mackenzie Weygandt Mathis at the EPFL M-Lab of Adaptive Intelligence (https://www.mackenziemathislab.org/ ), Geneva, Switzerland.

As part of this job, the Postdoc will:

• Work and collaborate on research projects. The precise research topic(s) will be discussed by the Professor with the successful candidate depending on their background, expertise and affinities.
• Analysis and publication of results.
• Build a strong network in the field of research.
• Participate in education, and PhD and Master student supervision.

We strive to publish our work in top journals and machine learning conferences and are committed to open source software. Additional information about our research can be found at https://www.mackenziemathislab.org/ .

The Federal School of Technology in Lausanne (EPFL) is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure.

Requirements:

• Candidates minimally should have a Master’s degree in Neuroscience, and PhD in Neuroscience in the field of predictive mechanisms and/or sensory information processing is preferred.
• Work is onsite at Campus Biotech in Geneva, Switzerland.
• Excellent English verbal and written communication skills and proven record of effective communication, both written and verbal, with scientists is required. 

Profile

• 2+ years of experience in the field of predictive mechanisms of sensory information processing, and cerebral cortex processing; neuroimaging and neural computation techniques are preferred.
• 2+ years of professional research experience with behavioural experiments in freely-moving animals and/or humans.
• 2+ years of professional experience with Python and Machine Learning.
• Publication record (relative to the candidate’s career stage). A record of experience working with scientists and other research engineers. Independent, creative, and solution-oriented.
• Good team spirit. 

We offer

• A stimulating and international working environment.
• Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-andpostdocs/).
• Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe.
• Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students.