{"id":3374301,"url":"https://alion.io/job/bridge-neurotech-neuroscience-research-intern-phd","title":"Neuroscience Research Intern (PhD)","company":{"id":4445191,"name":"Bridge Neurotech","domain":"bridgeneurotech.com","url":"https://alion.io/company/bridge-neurotech","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Redwood City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":83000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":408},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"Git","optional":true},{"name":"Machine Learning","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-12T23:25:51Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-11-02T10:11:39Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"About Bridge Neurotech\nBridge Neurotech is building a non-invasive functional ultrasound imaging (fUSI) platform with AI-based neural decoding for brain-computer interface applications. We are a seed-stage neurotechnology company developing technology that has the potential to transform how we interact with the human brain.\nAbout the role\nWe are looking for a PhD student in neuroscience or a related field to join Bridge for a six-month internship or co-op. You will work alongside our imaging scientists, software engineers, and research collaborators on the work at the center of our platform: turning raw functional ultrasound acquisitions into validated scientific insight.\nThis is a hands-on, interdisciplinary role. You will help design experiments, collect and organize data from our research study, build analysis pipelines, and analyze neuroimaging data with our collaborating neuroscientists and clinicians. It suits someone who is as comfortable at a study session as they are writing Python to process the data it produces.\nWhat you’ll do\nHelp design and run data collection for our research study, including on-site acquisition sessions with research participants.\n\nWork with our imaging scientists to validate ultrasound sequences and check data quality from acquisition through analysis.\n\nBuild and maintain pipelines that organize, convert (for example to BIDS), clean, and version research datasets.\n\nAnalyze neuroimaging data with our collaborating neuroscientists, including statistical analysis, signal processing, and visualization.\n\nWork with the ML team on neural decoders and encoders trained on this data, contributing to feature design and performance evaluation.\n\nContribute to study protocols and research documentation as needed.\n\nPresent your results to the team at the end of the six months, and leave behind analyses and tools the team keeps using.\n\nWho you are\nRequired\nCurrently enrolled in a PhD program in neuroscience, biomedical engineering, electrical engineering, data science, or a closely related field.\n\nAvailable full time for six months.\n\nFirst principles thinking.\n\nHands-on experience with neuroimaging data (fMRI, fUSI, EEG, or similar modalities), including processing and analysis.\n\nStrong Python skills with scientific computing libraries (NumPy, SciPy, pandas, matplotlib, or similar).\n\nExperience building reproducible analysis pipelines, ideally with standardized formats such as BIDS.\n\nComfortable working across disciplines and communicating with clinicians, scientists, and engineers.\n\nNice to have\nExperience with ultrasound imaging, particularly functional ultrasound (fUSI).\n\nExperience with machine learning frameworks (PyTorch, TensorFlow) for biomedical signal analysis, neural decoding, or brain-computer interface applications.\n\nExperience working in or with clinical environments or human research studies.\n\nProficiency with version control (Git), cloud computing, and containerized workflows.\n\nWhat we offer\nA six-month project with real ownership, scoped with you around our research roadmap.\n\nMentorship from our imaging scientists, and direct collaboration with leading clinicians and neuroscientists at top-tier academic institutions.\n\nHands-on work with a neuroimaging modality early enough that much of the tooling does not exist yet.\n\nA culture that values intellectual honesty, scientific rigor, and moving fast with purpose.\n\nBridge Neurotech is an equal opportunity employer. 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