"Computational Neuro-AI Research Support Analyst -ARIA"

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 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. We are looking for brilliant minds with state-of-the-art theoretical expertise and elite coding skills, coupled with a truly outstanding ability to collaborate that turns individual brilliance into collective impact.

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.

"Please include Publications related to machine learning, computer vision, or natural language processing venues (NeurIPS, CVPR, ICLR, ACL, etc.)"

Required Skills and Abilities

1. Proven experience working with LLMs, generative AI and other ML tools in support of social science research.
2. Fluency in multiple operating systems, programming languages (e.g. Python, R), and AI tools.
3. Demonstrated knowledge of social science research methods.
4. Strong organizational skills, attention to detail, and ability to prioritize and manage multiple assignments simultaneously.
5. Strong interpersonal skills, communication skills, and the ability to work effectively with faculty, staff, and research partners internally and externally.
6. Design and implement state‑of‑the‑art ML/DL models for neural decoding.
7. Analyze multimodal neural datasets and optimize end‑to‑end BCI pipelines.
8. Collaborate with neuroengineers, clinicians, and data scientists on algorithm development and system integration.
9. Prepare manuscripts and present findings at top venues (e.g., NeurIPS, CVPR, ICLR, ICML, ECCV, and ICCV). 
10. Strong publication record in machine learning, computer vision, or natural language processing venues (NeurIPS, CVPR, ICLR, ACL, etc.). 
11. Expertise in deep learning frameworks (PyTorch, TensorFlow) and proficiency in Python. 
12. Proven experience with neural data analysis (EEG/ECoG/fMRI) and signal‐processing pipelines. 
13. Excellent communication skills and a passion for translational neuroscience.

Preferred Skills and Abilities

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

Masters in Computer science, Neuroscience or Electrical Engineering with publications and 0-6 month experience or PH.D. in Computer science, Neuroscience or Electrical Engineering or related field.

Principal Responsibilities

1. Collaborate with faculty and researchers to provide scientific computational expertise to enhance efficiency of research algorithms.
2. Interface with faculty to solicit requirements on how best to enhance the daily operations of the Yale's Center for Research Computing (YCRC). 
3. Work with the HPC engineering team to implement these operational enhancements.
4. 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:
   a. Software installation and support of various scientific software packages.
   b. Support of research groups' computational research through consultation and design of software and systems.
   c. Parallel programming and performance tuning.
   d. Assistance with data management and sharing.
   e. Troubleshooting users' computational problems.
5. Investigate new computing technologies (in areas such as hardware, software, and networking, depending on the candidate's interests and expertise).
6. 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.

Salary Range

$68,000.00 - $120,500.00

Location

New Haven, Connecticut