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Brain Computer Interface R&D Intern - Biomechanics & Surgical simulation

Axoft

Axoft

Cambridge, MA, USA
Posted on May 8, 2025

JOB DESCRIPTION

Position Overview:

At Axoft

Axoft is building the most advanced and scalable platform for implantable brain-machine interfaces. Our mission is to enable minimally invasive, long-term stable and ultra-high bandwidth communication with the brain, opening new therapies and treatments against neurological disorders and physical disabilities. We have bridged the gap between electronic and biological materials to create the softest, nanofabricated brain implants in the world. We are now looking to add talented people to the team who are passionate, deliver results, and are committed to finding creative solutions to complex problems. Axoft is looking for candidates who have demonstrated exceptional abilities and results in their previous professional, academic and interpersonal experiences and have the skillset that fits this job offer.

About the Role

Join our interdisciplinary team to help develop the world’s softest brain probe by designing and testing brain proxy models. This internship provides hands-on experience at the intersection of neurotechnology, biomechanics, and device innovation.

  • Location: Cambridge, MA (On-site)

  • Duration: 3–6 months (longer duration preferred)

  • Team: Neuroengineering / Device R&D

Key responsibilities:

Research and Development:

  • Design and develop ex vivo and in vitro brain proxy models to support the development of surgical procedures for the world’s softest brain probe

  • Support fixation, connector fitting, and thermal distribution performance testing

  • Assist in the simulation of surgical workflows using ex vivo and in vitro brain proxy model

  • Collaborate with device engineers and neuroscientists on protocol development

  • Document results and contribute to design iteration feedback loops

Collaboration:

  • Work closely with preclinical, clinical, software, and hardware teams to develop the hardware evaluation system

  • Clearly communicate research findings to both technical and non-technical audiences, internally and externally

  • Proactively identify solutions and ensure timely delivery of project milestones

Eligibility Requirements:

  • Open to students currently enrolled in or recently graduated from a B.S., M.S., or Ph.D. program in a relevant field

  • Undergraduate students must be in their junior year or higher

  • B.S. students must have authorization from their institution to participate in an internship

  • International students in U.S.-based programs must be CPT-eligible and have approval from their academic advisor

  • Applicants must be enrolled at a U.S.-based academic institution

Qualifications:

  • Pursuing or recently completed a degree in Bioengineering, Materials Science, Mechanical Engineering, or a related field

  • Solid foundation in materials science and mechanical design for biological applications

  • Experience with CAD or prototyping tools (e.g., SolidWorks, Fusion 360, 3D printing)

  • Strong attention to detail, organized workflow, and ability to work independently

  • Eagerness to learn and contribute to real-world neurotechnology projects

  • Excellent communication and collaboration skills

Preferred Qualifications:

  • Proficiency in data analysis and visualization (e.g., Python or similar tools)

  • Coursework or research experience in biomechanics, neural engineering, or implantable medical devices

  • Strong documentation skills for protocols, validation reports, and R&D feedback

What you’ll gain:

  • Hands-on experience in biomechanical testing and materials evaluation for neural interfaces

  • Exposure to cutting-edge neurotechnology development in a fast-paced, interdisciplinary R&D environment

  • Opportunities to collaborate directly with engineers and neuroscientists on real-world device validation

  • Insight into the design, testing, and integration of implantable medical devices from prototyping to preclinical readiness

  • Practical skills in experimental design, mechanical characterization, and biomaterial preparation

  • The chance to contribute meaningfully to a technology bridging neuroscience and engineering with clinical impact