Job Offer: Signal Processing / Electrical Engineer (VB-Tech | INS)
ABOUT VB-TECH & THE INS
VB-Tech (Virtual Brain Technologies) is a Marseille-based deeptech/medtech startup developing BrainXplore™, the world's first patient-specific digital brain twin platform for personalized neurosurgery. Our flagship product, VEP-1, targets drug-resistant epilepsy through SEEG surgical planning based on computational brain modeling. VB-Tech works hand in hand with the Institut de Neurosciences des Systèmes (INS) — a joint Inserm and Aix-Marseille University research unit on the La Timone campus in Marseille that combines experimental, theoretical and clinical neuroscience to understand the dynamics of the brain in health and disease, notably epilepsy, and is home to The Virtual Brain platform. Our scientific foundation rests on the EPINOV clinical trial (350+ patients, 13 international centers — results under analysis) and over 25 years of R&D led by Prof. Viktor Jirsa (creator of The Virtual Brain and director of the INS). We are also affiliated with EBRAINS, the European research infrastructure for brain science. Through EBRAINS, we contribute to and draw on a shared ecosystem of open data, brain-simulation tools and high-performance computing resources that advance digital neuroscience and brain medicine across Europe.
We are at an exciting inflection point — with clinical partners at UPMC Pittsburgh, UC Davis Health, and BC Children's Hospital Vancouver — and we are growing our core engineering team.
THE ROLE
As a Signal Processing / Electrical Engineer at VB-Tech, you will work at the intersection of computational neuroscience, clinical data, and software engineering. You will contribute directly to the development and improvement of BrainXplore™ — a platform based on physiological brain simulation rather than AI — enabling real-world surgical planning for patients with drug-resistant epilepsy.
KEY RESPONSIBILITIES
▸ Develop and maintain signal processing pipelines for SEEG, EEG and MEG clinical data
▸ Implement and optimize source localization algorithms for patient-specific brain models
▸ Contribute to image segmentation and mesh generation workflows from MRI data
▸ Design and integrate finite element method (FEM) electric field solvers
▸ Collaborate with neuroscientists and clinicians to validate computational outputs
▸ Write clean, tested Python code integrated into the BrainXplore™ platform
REQUIRED PROFILE
Education
▸ MSc or PhD in Biomedical Engineering, Electrical Engineering, or a closely related field
Technical Skills
▸ SEEG / EEG / MEG signal processing and source localization
▸ Image segmentation, meshing and FEM electric field solvers
▸ Python and shell scripting — production-quality code
▸ Familiarity with toolboxes such as MNE-Python, OpenMEEG, FreeSurfer, SimNIBS or equivalent (a plus)
TECHNICAL ENVIRONMENT
Python MNE-Python OpenMEEG
SEEG / EEG / MEG FEM Solvers MRI Segmentation
FreeSurfer SimNIBS Shell Scripting
POSITION DETAILS
Location Marseille, France (on-site / hybrid)
Contract CDI or fixed-term — to be discussed
Start date As soon as possible
Level MSc minimum — PhD appreciated
Language French and English required
WHY JOIN VB-TECH?
▸ Work on a clinically deployed, internationally recognized platform with real patient impact
▸ Collaborate daily with world-class neuroscientists including Prof. Viktor Jirsa (creator of The Virtual Brain)
▸ Join a fast-growing deeptech startup at Series A stage, with strong academic and clinical partnerships
▸ Be part of an international team with presence in Marseille, Romania
▸ Contribute to an open science ecosystem (EPINOV trial, EBRAINS, EIC Pathfinder)
To Apply
Send your CV and a brief cover note to: l.otten@vb-tech.fr
Subject: Signal Processing Engineer — Application
VB-Tech | INS
Virtual Brain Technologies | Institut de Neurosciences des Systèmes
Marseille, France · Deep Tech · MedTech · Neuroscience
UMR 1106 – Institut de Neurosciences des Systèmes INS Faculté de Médecine de la Timone
27 Bd Jean Moulin - 13385 Marseille cedex 05. France
Tel : + 33 (0) 4 91 32 42 21 ou 23 | Fax : + 33 (0) 4 91 78 99 14