DataScience Engineering FALL 2026 Unpaid Internship

To promote and accelerate the whole brain emulation, our foundation is focused on Encouraging scientific collaboration to create stepping-stone technologiesPublishing reviews of scientific literature and technology developmentsMaintaining R&D roadmaps to identify and address scientific and engineering challengesIncreasing general awareness of the human adaptability gap and the possibility that neural prosthesis, whole brain emulation and substrate-independent mind may offer solutionsHosting conferences or workshops, and providing informational material , IMPORTANT Please apply through our Google Form . LinkedIn Applicants - Please copy and paste the link below to fill out the Google Form https //docs.google.com/forms/d/e/1FAIpQLSd8oMnQa0PET6iiMI60fs9oZsM0XVsufhE-La0G5qjCJjJn0g/viewform Your application may not be seen if you apply via LinkedIn or Idealist. In order to be considered for this role, please apply using our Google Form. If your qualifications are a strong match, we’ll be in touch about the next steps. About Carboncopies Foundation The Carboncopies Foundation is an international nonprofit organization dedicated to advancing the science and technology of whole brain emulation - the process of transferring the structure and functions of a brain from its original substrate to another computational substrate of a neural prosthesis. Founded by neuroscientists and technologists, we serve as a nexus for research collaboration, education, and public discourse on the path toward preserving and extending human cognition. Our work spans multiple disciplines including neuroscience, computer science, nanotechnology, and philosophy. Through workshops, webinars, publications, and community building, we bring together researchers, students, and enthusiasts who share our vision of developing technologies that may one day allow for the precise mapping and functional recreation of neural architectures. We believe that whole brain emulation represents not only a profound scientific challenge but also a potential pathway to extending human experience, knowledge, and consciousness beyond current biological limitations. For over 15 years, we have been at the forefront of research and development in this field, fostering collaboration between leading neuroscientists, technologists, and visionaries who share our mission. Our efforts have been powered by a dedicated community—over 100 volunteers have contributed to our initiatives over the years, with 30+ actively driving our programs forward today. This is a REMOTE UNPAID FALL Intern position* Position Overview We are seeking a highly motivated, self-directed Data Science Intern to join our research team. This role will focus on analyzing electrophysiology data from neurons and developing quantitative metrics to evaluate and compare signal processing performance between a ground-truth system and its reconstructed counterpart. The ideal candidate has a passion for data-driven research and an interest in neuroscience and neural technologies. Key Responsibilities Analyze and interpret electrophysiological data to identify patterns and insightsDesign and implement metrics for comparing ground-truth neural signals with reconstructed dataDevelop statistical pipelines for testing and validating neuronal circuit models.Build and maintain data pipelines for handling complex and large-scale datasetsContribute to feature development and functionality based on evolving project needsDocument code and maintain high-quality technical documentationCollaborate with researchers and technical volunteers to align on goals and implementationParticipate in code reviews and assist with testingContribute to academic papers and potentially serve as a co-authorCurrently enrolled in an academic institution Qualifications Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Neuroscience, or a related quantitative fieldStrong proficiency in Python and experience with data science libraries (e.g., pandas, scikit-learn); familiarity with R and/or SQL is a plusExperience working with version control tools such as GitDemonstrated ability to analyze, manipulate, and model complex datasetsUnderstanding of statistical models and comfort working in data-rich environmentsExcellent communication skills for presenting findings to both technical and non-technical audiencesStrong problem-solving skills and attention to detailAbility to work independently with minimal supervisionInterest in neuroscience, brain-machine interfaces, or whole brain emulation is highly desirablePreferred Strong background in neuroscience and experience analyzing neural signals using signal processing techniques and statistical methods. Experience with neuronal circuit modeling. Time Commitment Flexible, approximately 20 hours per week , Internship time frame is 6-9 months Benefits Gain experience working on cutting-edge neuroscience and neurotechnology researchOpportunity to co-author academic publicationsBuild a portfolio of impactful, real-world work in a collaborative research settingCoordination available for university credit-earning internships through the Carboncopies FoundationConnect with professionals in the neuroscience and tech communitiesAttend events and webinars hosted by the foundation at no cost How To Apply If our mission resonates with you, we encourage you to get involved. Apply through our Google Form. LinkedIn Applicants - Please copy and paste the link below to fill out the Google Form https //docs.google.com/forms/d/e/1FAIpQLSd8oMnQa0PET6iiMI60fs9oZsM0XVsufhE-La0G5qjCJjJn0g/viewform If your qualifications are a strong match, we’ll be in touch about the next steps. The Carboncopies Foundation is committed to diversity and welcomes applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. Website https //carboncopies.org/ LinkedIn https //www.linkedin.com/company/carbon-copies Instagram https //www.instagram.com/carboncopies_foundation/ Facebook https //www.facebook.com/groups/carboncopies/ Twitter https //twitter.com/carboncopiesorg YouTube https //www.youtube.com/channel/UCuNZLgW-6Xcp6wfyb2Y_Thw