Postdoctoral Research Fellow Position in Computational & Translational Neuroscience

Stanford University, USA

 

The Stanford Precision NeuroIntelligence Laboratory (SPNI Lab) has an opening position for Postdoctoral Research Fellow in Computational & Translational Neuroscience.

 

Position description: The fellow will work on developing and applying advanced machine learning and deep learning methods for multimodal brain imaging (e.g., MRI, EEG) and cognitive/behavioral data analysis with the goal of discovering data-driven neural biomarkers for precision medicine in brain disorders. The position offers a unique opportunity to conduct high-impact, interdisciplinary research at the interface of machine learning, data science, neuroscience, and clinical translation.

 

Qualifications:

• PhD in Biomedical/Electrical Engineering, Computer Science, Neuroscience, or related fields.
• 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, is highly desirable.
• Strong motivation & ability to work independently and collaboratively in a multidisciplinary environment.

 

Opportunities:

• Collaborate closely with world-leading neuroscience and clinical teams at Stanford University.
• Access to large-scale clinical and neuroimaging datasets and state-of-the-art computing resources.
• Comprehensive training in machine learning, neuroscience, and precision medicine, with mentorship tailored to foster independence and career development.

 

Stanford University: Stanford University is a world-leading research institution, consistently ranked among the top universities globally. The university offers an unparalleled academic environment with cutting-edge facilities, vibrant interdisciplinary collaborations, and a diverse intellectual community. Its location in the heart of Silicon Valley provides unique opportunities for innovation and cross-sector partnerships.

 

Application: Interested candidates should send their CV, a cover letter describing research accomplishments and interests, writing samples (e.g. published lead-author papers or preprints), a link to code examples,

and 2-3 references to Dr. Yu Zhang (yzhangsu@stanford.edu).

Application review begins immediately and will continue until the position is filled.

We are looking forward to hearing from you!