The Postdoctoral Research Associate will work with a multidisciplinary team to develop aging in place technologies and digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. The position involves analyzing complex sensor data, developing health digital twins, and communicating data in the form of primary research articles.
Requirements
- Appropriate PhD in a related field
- Experience with machine learning and deep neural network techniques
- Experience with wearable and sensors placed in the environment
- Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces
- Experience with agentic large language models
- Experience in artificial intelligence to develop the algorithms for digital twins
- Experience with both qualitative and quantitative data analysis techniques
- Experience in cleaning and analyzing healthcare data
Benefits
- Medical, prescription drug, dental, vision, life and AD&D
- Flexible spending accounts
- Long-term disability insurance
- 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
- Health and Wellness: Free exercise programs and release time
- Professional Development: 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