Computational Neuro - ai Research Support Analyst - ARIA

Neuro-AI Researcher Position

Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community-eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale!

Salary Range: $68,000.00 - $120,500.00

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 Aligning Research to Impact Autism (ARIA) initiative. Our multidisciplinary team is breaking new ground in decoding natural neuronal activity and engineering non-invasive communication devices that will revolutionize life for people with profound motor or speech limitations. Dr. Günel's research routinely graces the pages of the world's most prestigious journals—Nature, Science, and Neuron. Through the ARIA project, you'll gain the same runway to excellence, crafting work destined not only for high-impact biomedical journals but also for the premier computer-science conferences NeurIPS, ICLR, and CVPR. Therefore, whether you aspire to forge an academic path or translate pioneering discoveries into startup and industry breakthroughs, you will find the ideal environment here to cultivate your ideas, collaborate across disciplines.

Goal: Translate electrophysiological and hemodynamic recordings into real-time communication signals, including text, and visual decoding of the 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

Required Skills and Abilities:

• Experience working 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 prioritize and manage multiple assignments simultaneously.
• Strong interpersonal skills, communication skills, and the ability to work effectively 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.
• Prepare manuscripts and present findings at top venues (e.g., NeurIPS, CVPR, ICLR, ICML, ECCV, and ICCV)

Required Qualifications:

• Bachelor's degree in a scientific or computational field plus two years of academic or scientific industry experience; or
• Master's in Computer Science, Neuroscience, or Electrical Engineering with publications and 0-6 months experience; or
• Ph.D. in Computer Science, Electrical Engineering, Neuroscience, or related field

Strong publication record in machine learning, computer vision, or natural language processing venues (NeurIPS, CVPR, ICLR, ACL, etc.). Expertise in deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python. Experience with neural data analysis (EEG/ECoG/fMRI) and signal-processing pipelines. Excellent communication skills and a passion for translational neuroscience.

Preferred Education, Experience and Skills:

• Experience with building and tuning AI systems.
• Experience with GPUs and HPC clusters.
• AI tools: TensorFlow, Keras, PyTorch, Large Language Models.
• Computing languages such as: C, Python, MATLAB, R.
• High performance computing in a Linux environment.
• Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, Conda.
• Teaching of courses, workshops, consulting.

Principal Responsibilities:

• Collaborate with faculty and researchers to provide scientific computational expertise to enhance efficiency of research algorithms.
• Interface with faculty to solicit requirements on how best to enhance the daily operations of the 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 primarily in the university's main campus departments in the natural and social sciences and engineering. This includes:
• Software installation and support of various scientific software packages.
• Support of research groups' computational research through consultation and design of software and systems.
• Parallel programming and performance tuning.
• Assistance with data management and sharing.
• Troubleshooting users' computational problems.
• Investigate new computing technologies (in areas such as hardware, software, and networking, depending on the candidate's interests and expertise).
• Develop and deliver training programs, seminars, and other outreach activities to a diverse community of faculty, students, and others sharing a common interest in advanced computing and data processing technologies for research. Training will include basic and advanced programs in HPC and data science.

Required Education and Experience: Bachelor's degree in a scientific or computational field plus two years of academic or scientific industry experience.

Background Check Requirements: All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check.

Health Requirements: Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy.

Posting Disclaimer: 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 current internal and external market conditions. The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department.

The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran. Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA).

Note: Yale University is a tobacco-free campus.