Stanford Translational AI (STAI) Lab Postdoctoral Research Fellow Application - Medical Imaging, Biomedical Data Analysis, Machine Learning Foundation Models

Friday 26th July 2024

Email address eadeli@stanford.edu
Contact Email for the Job Positing eadeli@stanford.edu
Organization Stanford University
Location Stanford, California
Title Stanford Translational AI (STAI) Lab Postdoctoral Research Fellow Application - Medical Imaging, Biomedical Data Analysis, Machine Learning Foundation Models
URL https://forms.gle/n49ijACzQJX37mRB7
Closing date Oct 31, 2024
Description Position Overview
We are seeking an exceptionally talented Postdoctoral Research Fellow to join our interdisciplinary team at the forefront of machine learning, computer vision, medical image analysis, neuroimaging, and neuroscience. This position is hosted by the Stanford Translational AI (STAI) in Medicine and Mental Health Lab (PI: Dr. Ehsan Adeli, https://stanford.edu/~eadeli), as part of the Department of Psychiatry and Behavioral Sciences at Stanford University. The postdoc will have the opportunity to directly collaborate with researchers and PIs within the Computational Neuroscience Lab (CNS Lab) in the School of Medicine and the Stanford Vision and Learning (SVL) lab in the Computer Science Department. These dynamic research groups are renowned for groundbreaking contributions to artificial intelligence and medical sciences.
Project Description
The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and neuroscience through innovative AI technologies and self-supervised learning methods. The postdoc will contribute to building a large-scale foundation model from brain MRIs and other modalities of data (e.g., genetics, videos, text). The intended downstream applications include understanding the brain development process during the early ages of life, decoding brain aging mechanisms, and identifying the pathology of different neurodegenerative or neuropsychiatric disorders. We use several public and private datasets including but not limited to the Human Connectome Project, UK Biobank, Alzheimer's Disease Neuroimaging Initiative (ADNI), Parkinson’s Progression Marker Initiative (PPMI), Open Access Series of Imaging Studies (OASIS), Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA), Adolescent Brain Cognitive Development (ABCD), and OpenNeuro.
Key Responsibilities
Conduct research in machine learning, computer vision, and medical image analysis, with applications in neuroimaging and neuroscience.
Develop and implement advanced algorithms for analyzing medical images and other modalities of medical data.
Develop novel generative models.
Develop large-scale foundation models.
Collaborate with a team of researchers and clinicians to design and execute studies that advance our understanding of neurological disorders.
Mentor graduate students (Ph.D. and MSc).
Publish findings in top-tier journals and conferences.
Contribute to grant writing and proposal development for securing research funding.
Qualifications
PhD in Computer Science, Electrical Engineering, Neuroscience, or a related field.
Proven track record of publications in high-impact journals and conferences including ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, MICCAI, Nature, and JAMA.
Strong background in machine learning, computer vision, medical image analysis, neuroimaging, and neuroscience.
Excellent programming skills in Python, C++, or similar languages and experience with ML frameworks such as TensorFlow or PyTorch.
Ability to work independently and collaboratively in an interdisciplinary team.
Excellent communication skills, both written and verbal.
Benefits
Competitive salary and benefits package.
Access to state-of-the-art facilities and computational resources.
Opportunities for professional development and collaboration with leading experts in the field.
Participation in international conferences and workshops.
Working at Stanford University offers access to world-class research facilities and a vibrant intellectual community. The university provides numerous opportunities for interdisciplinary collaboration, professional development, and cutting-edge innovation. Additionally, being part of Stanford opens doors to a global network of leading experts and industry partners, enhancing both career growth and research impact.
Apply
For full consideration, send a complete application via this form: https://forms.gle/KPQHPGGeXJcEsD6V6