BIOPHYSICAL) SIMULATION ENGINEER WITH ENGLISH

A leading biomedical company is looking for someone ready to proactively bring new ideas to the team, push boundaries, and constantly look for innovation.
The company believes in shared success and diverse ways of thinking, here you’ll learn, grow, and advance in an innovative culture.
As a Simulation Engineer, you are responsible for using and improving the company’s in-silico environment to simulate electromagnetic fields and their measurement with realistic biophysical sensors (neural sensing), and to simulate neurocomputational models and their modulation with stimulation.
All within realistic anatomical brain models.
You will collaborate with data scientists to enable these in silico capabilities to test and rapidly iterate the development of algorithms for neural signal processing and neuromodulation.
You will also collaborate with electrical and material science engineers to optimize the neural sensing and neuromodulation capabilities of our neural implant.
Finally, you will collaborate with a field engineer to transfer in-silico tests to in vitro bench tests to validate algorithms developed within the team and rapidly adjust and iterate on their development before pre-clinical in-vivo testing.
As the project matures you will further support the development team to virtually prototype and evaluate implant designs and patient safety regarding compatibility with medical imaging (MRI, CT etc.), heat dissipation, and effect of externally applied electrosurgery and defibrillation currents.
Main Responsibilities Using and improving an in-silico framework to simulate brain signals and their neuromodulation with electrical fields.
This is in the scope of basal ganglia and corticothalamic networks and is based on available neurocomputational and neuromodulation models   Integrate and maintain our current in-silico capabilities to model anatomically realistic conductivity models and the biophysical transduction of electromagnetic fields at the sensor level  Use the in-silico framework to test and validate signal processing pipelines and machine learning algorithms developed within the team for future pre-clinical and clinical in vivo applications  Work closely with Data and Algorithm engineers to design the best test environments for the desired data-driven algorithmic interventions   Work closely with Data scientists and Neuroscientists to design and implement the simulation capabilities regarding the network dynamics and brain signals of relevance in Parkinson’s disease and affected structures  Build parametrized electrode arrays and expand the in-house biophysical simulation capabilities used to optimize electrode array designs and perform sensitivity analysis and evaluations  Design bench/in-vitro test paradigms that will enable to further test and validate the algorithms previously tested and iterated using the in-silico platform Support experimental execution of relevant data collection Core Skills/experience Master or PhD, with a background in neuro-engineering, neuroscience, biomedical engineering or physics Experienced in using simulation platforms like COMSOL, Sim4Life, and/or other relevant platforms Experience in finite elements, applied to electromagnetic field simulation Experience in data analysis, MATLAB and Python coding A sparring partner to colleagues in other disciplines like software, electronics, or mechanics A high-energy, self-motivated, and proactive individual able to work in a diverse team in a startup company Flexibility, service and results-oriented with good analytical skills Good communication and presentation skills