🧠 Internship Opportunity #1: Brain-Machine Interface Research on Motor Control and Spatial Cognition (4~6 months) This project aims to explore how the brain integrates motor commands with spatial awareness, and how these signals can be decoded in real time to control external devices. Using neural recordings and advanced machine learning algorithms, the study investigates both movement intention and cognitive mapping, contributing to the development of next-generation neuroprosthetic systems. Interns will have the opportunity to:
(1) Work hands-on with in vivo neural implantation in the animal model, neural signal processing and decoding techniques.
(2) Contribute to experiments involving movement tasks and spatial cognition paradigms.
(3) Engage in interdisciplinary collaboration across neuroscience, biomedical engineering, and AI.
(4) Gain experience in data analysis, algorithm development, and translational neurotechnology

We welcome applicants from diverse backgrounds such as neuroscience, biomedical engineering, electrical engineering, computer science, and cognitive science. Prior experience with signal processing, machine learning, or neural data is a plus, but not required.

🔬 Note: Priority will be given to applicants who are willing and eligible to assist in small animal experiments, including hands-on work with rodent models under appropriate supervision and training.

🧠 Internship Opportunity #2: EEG Hyperscanning for Social and Cognitive Neuroscience (4~6 months) We are inviting passionate and curious students to join our ongoing research project exploring interpersonal brain dynamics using EEG hyperscanning—a cutting-edge neuroimaging technique that simultaneously records brain activity from two or more individuals during naturalistic social interactions. This study aims to uncover how neural synchrony between people supports social connection, communication, and shared cognitive processes, such as joint attention, cooperation, and emotional alignment. Our research includes tasks like shared reading, collaborative problem-solving, and emotional storytelling, with real-time EEG data acquisition and advanced analytical pipelines.

As an intern, you will have the chance to:
(1) Assist in EEG hyperscanning data collection and preprocessing.
(2) Learn about intra/inter-brain connectivity metrics, time-frequency analysis, and building model-based connectivity.
(3) Contribute to the design and execution of interactive experimental paradigms.
(4) Gain interdisciplinary experience across neuroscience, psychology, and signal processing We welcome applicants from fields such as psychology, neuroscience, biomedical engineering, computer science, or cognitive science. Familiarity with EEG analysis, MATLAB, or Python is helpful but not required—training will be provided.

🧠 Internship Opportunity #3: In-Vivo Neuromodulation and Neural Interface Research (4~6 months) We are currently recruiting interns to join our advanced research program on in-vivo neuromodulation, integrating expertise in neural sensor fabrication, small animal experimentation, and multimodal MRI analysis. This study focuses on developing implantable neural interfaces for modulating brain activity in real time, enabling precise interventions and observation of neuromodulatory effects at the systems neuroscience level. Our platform combines microfabricated neural probes, rodent models, and functional/anatomical MRI to explore brain circuit dynamics under controlled neuromodulation. Interns will be involved in:
(1) Assisting in the cleanroom fabrication of flexible neural sensors and post-verification.
(2) Participating in surgical implantation and behavioral monitoring in small animal models.
(3) Conducting post-surgical imaging, data processing, and MRI-based brain mapping.
(4) Gaining cross-disciplinary experience across materials science, neurobiology, and neuroimaging Applicants from backgrounds such as biomedical engineering, electrical engineering, neuroscience, material science, or medical imaging are encouraged to apply.

🔬 Note: Priority will be given to applicants who are willing and eligible to assist in small animal experiments, including hands-on work with rodent models under appropriate supervision and training.

🤖 Internship Opportunity #4: AI-Driven Rehabilitation Exoskeleton with Digital Twin Integration (4~6 months) We are recruiting talented and motivated interns to join our cutting-edge research on deploying rehabilitation exoskeletons integrated with digital twin frameworks, with a focus on neuro-musculoskeletal modeling and synthetic data generation. Our interdisciplinary project combines EEG/EMG signal acquisition, AI-based motion capture systems, and digital twin simulations to enhance motion coordination and control for exoskeleton-assisted rehabilitation. By leveraging data-driven methods, we aim to develop embedded AI models that personalize and optimize rehabilitation protocols in real time. Interns will have the opportunity to:
(1) Integrate multimodal biosignals (EEG/EMG) with AI-based motion capture systems.
(2) Explore EEG/EMG synergy patterns for data-driven coordination of human-exoskeleton interaction.
(3) Develop and validate embedded AI models for real-time motion control in exoskeleton-assisted rehabilitation.
(4) Develop a high-speed, markerless motion capture system for real-time kinematics and kinetics computation, based on GPU-accelerated software (Applicants with experience in CUDA development will be better and given priority).
(5) Work across domains including biomechanics, neuroengineering, AI, and wearable robotics. We welcome students from biomedical engineering, electrical engineering, computer science, mechanical engineering, neuroscience, and related disciplines.

🎓 Priority admission will be given to applicants who demonstrate interest in continuing into a Master’s or Ph.D. program in a related field.

🧠Internship Opportunity #5: Interaction of Electrical and Ultrasonic Neuromodulation: A Computational Study(4~6 months) We're looking for interns to join our research project that explores the interaction between electric fields and focused ultrasound (FUS) in neuromodulation, using state-of-the-art simulation tools and image-based models. Our project explores how extrinsic electrical stimulation and FUS can interact to modulate neural activity. Using state-of-the-art simulation tools such as Sim4Life and image-based multi-scale models, we aim to uncover the fundamental principles behind targeted neuromodulation—from the cellular level to large-scale brain network dynamics. Interns will contribute to cutting-edge research in computational neuroengineering, developing and optimizing models for deep brain stimulation (DBS), transcranial electric stimulation, and ultrasound neuromodulation, with applications in bioelectronic medicine, neurotherapeutics, and brain-machine interfaces.

🛠️ We welcome students from students with backgrounds in biomedical engineering, computational neuroscience, electrical engineering, physics, or related fields. Interest in finite element methods (FEM), acoustic wave propagation, or neurophysiology. Experience with MATLAB, Python, or simulation platforms (e.g., Sim4Life) is a plus.

💡 What You’ll Gain Hands-on experience with advanced neurostimulation modeling. Mentorship from experts in neuroengineering. Potential for publication opportunities or long-term collaboration.

🎓 Advancement Opportunity Interns who demonstrate strong research capability and enthusiasm will be prioritized for admission into our Master's or Ph.D. programs, offering a seamless path into advanced studies in biomedical engineering, neurotechnology, or computational neuroscience.