Stanford Translational AI lab
Postdoc Application: Medical Imaging, Biomedical Data Analysis, Machine Learning Foundation Models
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Openings
Postdoc Application: Medical Imaging, Biomedical Data Analysis, Machine Learning Foundation Models
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
Previous article: Postdoctoral Research Fellow: 3D Human Understanding, Motion Foundation Models, and Video Understanding Prev
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills