Yale University
Computational Neuro-AI Research Support Analyst -ARIA
Yale University, New Haven, Connecticut, us, 06540
Overview
Under the visionary leadership of Dr. Günel—Sterling Professor of Neurosurgery, Professor of Genetics and Neuroscience, and Chair of the Yale Department of Neurosurgery—we invite exceptional Neuro-AI researchers to join the ARIA initiative. Our multidisciplinary team is decoding natural neuronal activity and engineering non-invasive communication devices to improve life for people with profound motor or speech limitations. This role provides opportunities to publish in high-impact biomedical journals and premier computer-science conferences (e.g., NeurIPS, ICLR, CVPR) and to collaborate across disciplines. Goal: Translate electrophysiological and hemodynamic recordings into real-time communication signals, including text, and visual decoding of brain states. Approach: Integrate advanced machine learning and deep learning techniques with high-density brain recordings (EEG, ECoG, fMRI, etc.). Impact: Build a robust computational model to restore or augment communication in clinical populations. Please include publications related to machine learning, computer vision, or natural language processing venues (NeurIPS, CVPR, ICLR, ACL, etc.).
Principal Responsibilities
Collaborate with faculty and researchers to provide scientific computational expertise to enhance the efficiency of research algorithms. Interface with faculty to solicit requirements on how best to enhance the daily operations of Yale's Center for Research Computing (YCRC). Work with the HPC engineering team to implement these operational enhancements. Provide technical support, computing assistance, and training to YCRC users, including software installation and support of various scientific software packages. Support research groups' computational research through consultation and design of software and systems, parallel programming, performance tuning, data management, and troubleshooting. Investigate new computing technologies and develop training programs, seminars, and outreach activities in HPC and data science. Prepare manuscripts and present findings at top venues (e.g., NeurIPS, CVPR, ICLR, ICML, ECCV, ICCV).
Qualifications
Required Skills And Abilities
Proven experience with LLMs, generative AI and other ML tools in support of social science research. Fluency in multiple operating systems, programming languages (e.g., Python, R), and AI tools. Demonstrated knowledge of social science research methods. Strong organizational skills, attention to detail, and ability to manage multiple assignments. Strong interpersonal and communication skills, with the ability to work with faculty, staff, and research partners internally and externally. Design and implement state-of-the-art ML/DL models for neural decoding. Analyze multimodal neural datasets and optimize end-to-end BCI pipelines. Collaborate with neuroengineers, clinicians, and data scientists on algorithm development and system integration. Professional experience preparing manuscripts and presenting at top venues (e.g., NeurIPS, CVPR, ICLR, ICML, ECCV, ICCV). Strong publication record in machine learning, computer vision, or natural language processing venues. Expertise in deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python. Proven experience with neural data analysis (EEG/ECoG/fMRI) and signal-processing pipelines. Excellent communication skills and a passion for translational neuroscience. Preferred Skills And Abilities
Experience building and tuning AI systems; experience with GPUs and HPC clusters. AI tools: TensorFlow, Keras, PyTorch; experience with Large Language Models. Computing languages: C, Python, MATLAB, R; high-performance computing in Linux environments. Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, Conda; teaching, courses, workshops, or consulting. Education: Master’s in Computer Science, Neuroscience, or Electrical Engineering with publications and 0-6 months experience, or PhD in related field.
Background Check Requirements
All candidates will be subject to pre-employment background screening, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and requirements. Offers are contingent upon successful completion of the background check. For more information, see the background checks resource on the It's Your Yale Careers site.
Health Requirements
Certain positions have health requirements based on job responsibilities, including vaccinations, tests, or examinations as required by law, regulation, or university policy.
Posting and Legal
Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and market conditions. This job description provides a representative summary of essential functions and should not be construed as a declaration of specific duties. Yale is an equal opportunity employer and does not discriminate in admissions, education, or employment based on sex, sexual orientation, gender identity or expression, race, color, national origin, religion, age, disability, veteran status, or other protected statuses. Inquiries regarding discrimination & harassment may be directed to the Office of Institutional Equity and Accessibility (OIEA). Note: Yale University is a tobacco-free campus.
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Under the visionary leadership of Dr. Günel—Sterling Professor of Neurosurgery, Professor of Genetics and Neuroscience, and Chair of the Yale Department of Neurosurgery—we invite exceptional Neuro-AI researchers to join the ARIA initiative. Our multidisciplinary team is decoding natural neuronal activity and engineering non-invasive communication devices to improve life for people with profound motor or speech limitations. This role provides opportunities to publish in high-impact biomedical journals and premier computer-science conferences (e.g., NeurIPS, ICLR, CVPR) and to collaborate across disciplines. Goal: Translate electrophysiological and hemodynamic recordings into real-time communication signals, including text, and visual decoding of brain states. Approach: Integrate advanced machine learning and deep learning techniques with high-density brain recordings (EEG, ECoG, fMRI, etc.). Impact: Build a robust computational model to restore or augment communication in clinical populations. Please include publications related to machine learning, computer vision, or natural language processing venues (NeurIPS, CVPR, ICLR, ACL, etc.).
Principal Responsibilities
Collaborate with faculty and researchers to provide scientific computational expertise to enhance the efficiency of research algorithms. Interface with faculty to solicit requirements on how best to enhance the daily operations of Yale's Center for Research Computing (YCRC). Work with the HPC engineering team to implement these operational enhancements. Provide technical support, computing assistance, and training to YCRC users, including software installation and support of various scientific software packages. Support research groups' computational research through consultation and design of software and systems, parallel programming, performance tuning, data management, and troubleshooting. Investigate new computing technologies and develop training programs, seminars, and outreach activities in HPC and data science. Prepare manuscripts and present findings at top venues (e.g., NeurIPS, CVPR, ICLR, ICML, ECCV, ICCV).
Qualifications
Required Skills And Abilities
Proven experience with LLMs, generative AI and other ML tools in support of social science research. Fluency in multiple operating systems, programming languages (e.g., Python, R), and AI tools. Demonstrated knowledge of social science research methods. Strong organizational skills, attention to detail, and ability to manage multiple assignments. Strong interpersonal and communication skills, with the ability to work with faculty, staff, and research partners internally and externally. Design and implement state-of-the-art ML/DL models for neural decoding. Analyze multimodal neural datasets and optimize end-to-end BCI pipelines. Collaborate with neuroengineers, clinicians, and data scientists on algorithm development and system integration. Professional experience preparing manuscripts and presenting at top venues (e.g., NeurIPS, CVPR, ICLR, ICML, ECCV, ICCV). Strong publication record in machine learning, computer vision, or natural language processing venues. Expertise in deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python. Proven experience with neural data analysis (EEG/ECoG/fMRI) and signal-processing pipelines. Excellent communication skills and a passion for translational neuroscience. Preferred Skills And Abilities
Experience building and tuning AI systems; experience with GPUs and HPC clusters. AI tools: TensorFlow, Keras, PyTorch; experience with Large Language Models. Computing languages: C, Python, MATLAB, R; high-performance computing in Linux environments. Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, Conda; teaching, courses, workshops, or consulting. Education: Master’s in Computer Science, Neuroscience, or Electrical Engineering with publications and 0-6 months experience, or PhD in related field.
Background Check Requirements
All candidates will be subject to pre-employment background screening, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and requirements. Offers are contingent upon successful completion of the background check. For more information, see the background checks resource on the It's Your Yale Careers site.
Health Requirements
Certain positions have health requirements based on job responsibilities, including vaccinations, tests, or examinations as required by law, regulation, or university policy.
Posting and Legal
Salary offers are determined by a candidate’s qualifications, experience, skills, and education in relation to the position requirements, along with the role’s grade profile and market conditions. This job description provides a representative summary of essential functions and should not be construed as a declaration of specific duties. Yale is an equal opportunity employer and does not discriminate in admissions, education, or employment based on sex, sexual orientation, gender identity or expression, race, color, national origin, religion, age, disability, veteran status, or other protected statuses. Inquiries regarding discrimination & harassment may be directed to the Office of Institutional Equity and Accessibility (OIEA). Note: Yale University is a tobacco-free campus.
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