(BIOPHYSICAL) SIMULATION ENGINEER WITH ENGLISH

Leader and innovative 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 on 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.
Tasks

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.

Requirements

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.
A flexible, service-minded colleague with good analytical skills, reliable, pragmatic, and result-oriented.
Good communication and presentation skills

Benefits

A collaborative environment where innovative ideas flourish and teamwork drives us forward.
Meaningful Work Impact: Our projects are not only exciting and challenging but also have a positive impact on the industry and society as a whole. You'll be part of a team that strives to create meaningful change.
Cutting-Edge Technology Exposure: Joining us means immersing yourself in the latest technologies and innovative solutions. You'll have access to state-of-the-art tools and resources, fostering continuous learning and keeping your skills relevant in a rapidly evolving industry.
Competitive salary
Payflow & Flexflow
Private Health Insurance (optional)
Training bonus for professional development
23 vacation days per year + 24th and 31st of December
Hybrid working modality
Relocation Package

Our recruitment process:
Step 1: Interview with our Recruiter to get to know you better
Step 2: Technical Interview with the Hiring Manager
Step 3: Interview with Head of HR
Step 4: Coffee chat with CEO