Postdoctoral Associate- Artificial Intelligence

The Psychiatry Department at the Baylor College of Medicine is seeking a highly motivated individual as a full-time post-doctoral scholar in Dr. Chadi Abdallah’s AI neuroimaging laboratory, focusing on development of BrainLM (brainlm.net) in collaboration with Dr. David van Dijk’s laboratory (vandijklab.org). The focus of this position will be on developing and applying advanced AI analysis strategies tailored to model brain activities in health and disease, using Generative AI approaches, processing of structural and functional MRI data, and compiling and organizing large brain imaging repositories.

The Center for Advanced Magnetic Resonance Imaging (CAMRI), directed by Dr. Abdallah, at Baylor College of Medicine is equipped with cutting-edge Siemens instruments dedicated to research. Dedicated Linux servers appropriately equipped are available for this project. The postdoctoral fellow will be mentored by Dr. Abdallah in clinical and technical aspects of neuroimaging and AI implementation in neuroscience. Mentoring is a strong focus in Dr. Abdallah’s laboratory as demonstrated by prior successful pre-/post-doctoral fellowships awarded to previous trainee. All trainees are encouraged to pursue competitive fellowships and career development awards with hands-on guidance and dedicated mentoring. Typically, a fellowship and/or career development award proposal submission is expected by the end of the second year after a trainee joins the team.

Job Duties

• Designs and implements novel computational algorithms for data analysis, feature extraction, and predictive modeling.
• Applies machine learning techniques, such as Large Language Models (LLMs) to large-scale datasets.
• Optimizes existing algorithms for efficiency and accuracy.
• Preprocesses and cleans raw data from various sources (e.g., sensors, databases, text).
• Conducts statistical analyses and visualize results.
• Extracts meaningful insights from complex data.
• Develops predictive models using supervised and unsupervised learning approaches.
• Evaluates model performance using appropriate metrics.
• Interprets model outputs and provide actionable recommendations.
• Implements code in languages such as Python, R, or Julia.
• Maintains and documents code repositories.
• Ensures reproducibility of research results.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Candidates should have a PhD degree or equivalent and should have a strong background in coding and AI approaches.
• Degree in computational science, neuroscience or related fields is preferable.
• Familiarity with brain imaging processing methods is desirable.
• The start date of the position is expected to be July 2024. The initial employment is for two-years with possible extension. Please send cover letter, CV, and names of three references to Chadi Abdallah ([email protected]).