Postdoctoral Research Fellow Position: The Stanford Precision NeuroIntelligence Laboratory (SPNI Lab) at Stanford University invites applications for a Postdoctoral Research Fellow in Computational & Translational Neuroscience. The successful candidate will develop and apply advanced machine learning and deep learning methods for multimodal brain imaging (MRI, EEG) and cognitive/behavioral data analysis, aiming to identify neural biomarkers for precision medicine in brain disorders. This is a unique opportunity to work in an interdisciplinary environment at the intersection of machine learning, neuroscience, and clinical applications.
Postdoctoral Research Fellow Position in Computational & Translational Neuroscience
Summary Table
| Field | Details |
|---|---|
| Designation | Postdoctoral Research Fellow |
| Research Area | Computational & Translational Neuroscience |
| Location | Stanford University, Stanford, California, USA |
| Eligibility/Qualification | PhD in Biomedical/Electrical Engineering, Computer Science, Neuroscience, or related fields |
| How to Apply | Send CV, cover letter, writing samples (published lead-author papers/preprints), link to code examples, and 2–3 references to Dr. Yu Zhang (yzhangsu@stanford.edu) |
| Last Date to Apply | Applications are reviewed on a rolling basis until the position is filled |
Eligibility/Qualification
- PhD in Biomedical/Electrical Engineering, Computer Science, Neuroscience, or a related field
- Strong background in machine learning and programming (Python and/or MATLAB)
- Excellent quantitative and analytical skills
- Strong written and interpersonal communication skills
- Prior research experience in neuroimaging, computational neuroscience, or related fields with publications in top-tier journals or conferences (highly desirable)
- Motivation to work both independently and collaboratively in a multidisciplinary environment
Job Description
The Postdoctoral Fellow will:
- Develop and apply advanced machine learning and deep learning approaches for multimodal brain imaging and cognitive/behavioral data analysis
- Work toward the discovery of neural biomarkers to advance precision medicine in brain disorders
- Collaborate with world-leading neuroscience and clinical teams at Stanford University
- Access large-scale clinical and neuroimaging datasets as well as cutting-edge computing infrastructure
- Benefit from tailored mentorship and comprehensive training in machine learning, neuroscience, and precision medicine to support career development
Opportunities
- Conduct high-impact, interdisciplinary research at the interface of neuroscience and AI
- Collaborate within Stanford’s vibrant, innovative, and cross-disciplinary ecosystem in the heart of Silicon Valley
- Access to state-of-the-art resources, facilities, and datasets
- Career growth through structured mentorship, networking, and independent project development
How to Apply
Interested candidates should submit:
- CV
- Cover Letter describing research accomplishments and interests
- Writing Samples (published lead-author papers or preprints)
- Link to Code Examples
- Names and contact details of 2–3 references
All applications must be sent to Dr. Yu Zhang (yzhangsu@stanford.edu).
Last Date to Apply
Applications will be reviewed immediately and on a rolling basis until the position is filled.
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