At Neurosoft Bioelectronics, we are building implantable brain-computer interfaces (iBCIs) aimed at addressing severe neurological conditions, leveraging novel materials designed to enhance long-term 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 will span over a minimum of 6 months and will involve the following steps:

• Data and meta-data curation, preparation, and formatting to match models’ inputs — this will be done in-house at Neurosoft Bioelectronics based at Campus Biotech, in Geneva, Switzerland (months 1–2)
• Development and tuning of a large-scale neuronal decoding model that can effectively combine brain datasets from different sources — in collaboration with an external partner institution (months 2–6)
• Model testing, fine-tuning, and decoding of brain data (months 5–6)

We are looking for a motivated individual currently enrolled in a MSc study program at EPFL (or at an equivalent institution) willing to carry out a full-time 6-month unpaid internship at Neurosoft Bioelectronics. The project could then be extended depending on available funding.

Education and experience: Ongoing MSc studies (preferably prior to MSc thesis) in one of the Neuro-X 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 willingness 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 C1) in English, French is a plus
• Willingness to contribute to a fast-paced start-up environment

The full-time 6-month internship will start in mid-September 2025, according to the semester's calendar.

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

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

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