Job Description

At Neurosoft Bioelectronics we are building implantable braincomputer interfaces (iBCIs) aimed at addressing severe neurological conditions leveraging novel materials designed to enhance longterm functionality within the human body. Despite advancements in our understanding of neuronal activity decoding brain signals in a clear and reliable way remains a complex challenge.

We have gathered specific datasets of brain activity recorded from animal models and more recently from human subjects using our iBCIs. To advance our research we are investigating how advanced artificial intelligence (AI) techniques including foundation models across various modalities can be used to improve decoding of these neuronal signals.

We are looking to test various strategies using AI foundation models to decode brain activity. This project shall span over a year and will involve the following steps:

• Data and metadata curation preparation and formatting to match models inputs this will be done inhouse at Neurosoft Bioelectronics based at Campus Biotech in Geneva Switzerland ( 13 months)
• Development and tuning of a largescale neuronal decoding model that can effectively combine brain datasets from different sources in collaboration with an external partner institution ( 69 months)
• Model testing finetuning and decoding of brain data ( 36 months)

Tasks

We are looking for a motivated individual currently enrolled in a study program at EPFL (or at a similar technical institution) willing to split their time into a fulltime 6month paid internship at Neurosoft Bioelectronics followed by a 6month MSc thesis in collaboration with selected laboratories from the NeuroX institute under scientific supervision at Neurosoft Bioelectronics and their partner institution.

Requirements

Education and experience: Ongoing MSc studies (preferably prior to MSc thesis) in one of the NeuroX laboratories or within another closely related EPFL laboratory.

Specific skills:

• Strong experience with AI models (e.g. adaptive transformers) and/or currently attending specific advanced machine learning courses
• Background in basic human neuroscience and/or willing to learn about auditory neuroscience
• Ease & experience with code or data handling tools (e.g. python MATLAB )
• Ease & experience with machine learning and deep learning models and tools (e.g. transformer architecture deep learning models CNNs )
• Willingness to collaborate with students and supervisors from partner institution outside of EPFL
• Good communication skills and language level (at least B2) in English French is a plus
• Willingness to strive in a fastpaced startup environment

Benefits

The fulltime 6month paid internship will start either as soon as possible or in February 2025 based on the semester schedule.

If successfully completed the internship will be followed by a 6month fulltime MSc thesis opportunity in collaboration with (a) selected laboratory(ies) from the NeuroX institute at EPFL.

A financial compensation from Neurosoft Bioelectronics could potentially be provided during the MSc thesis.

Please include the following elements in your application compiled as a single PDF file :

• Curriculum vitae (with academic transcripts/grades and preferably attended courses)
• A short motivation statement (max. one page) incl. a description of your career goals
• The phone and/or email contact of three references.

Ready to contribute to groundbreaking medical device projects If you believe you have the skills and enthusiasm were looking for please apply. Qualified candidates will be contacted to arrange an introductory online interview. Join us on our journey to advance neurotechnology!

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