Postdoctoral Research Associate

Texas A&M • College Station, TX

3d • Onsite

About The Position

The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches for high-dimensional dependent data, and data sketching approaches for massive data. This role offers opportunities to develop statistical/machine learning methodology for multi-modal imaging data integration, collaborate with neuroscientists, develop statistical theory, analyze multi-modal neuroimaging datasets, attend conferences, and share Python codes. The associate may also assist, mentor, and/or supervise student researchers.

Requirements

• PhD in statistics, economics or related field.
• Data analysis, statistical methodology and computing

Nice To Haves

• A well-qualified candidate may also possess: Data analysis, statistical methodology and computing

Responsibilities

• Develop statistical/machine learning methodology for multi-modal imaging data integration.
• Collaborate with neuroscientists from UC San Francisco Medical School, share results, and receive scientific inputs from them through weekly online meetings.
• Develop statistical theory to rigorously establish validity of the proposed methodology.
• Analyze multi-modal neuroimaging datasets provided by the UCSF scientists (e.g., Adolescent Brain Cognitive Development Data) and summarize results by publishing in peer-reviewed journals.
• Attend conferences to disseminate the ideas.
• Share the Python codes in a well-maintained GitHub repository for public use.
• Make R or Python package for widespread use of the methods.
• May assist, mentor, and/or supervise student researchers and/or graduate students who are working on research related to the project.

Benefits

• Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts , and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
• 12-15 days of annual paid holidays
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
• Automatic enrollment in the Teacher Retirement System of Texas
• Free exercise programs and release time
• All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
• Educational release time and tuition assistance for completing a degree while a Texas A&M employee
• Living Well, a program at Texas A&M that has been built by employees, for employees

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree