School of Health Professions-PostDoc Scholar

The University of Alabama at Birmingham Portal • Birmingham, AL

7d • Onsite

About The Position

The University of Alabama at Birmingham is recruiting two postdoctoral fellows to join a multidisciplinary research program led by Abdulaziz Ahmed, PhD. Both openings will use the same job description, and each appointment is planned for three years. The fellows will contribute to multiple research projects that apply artificial intelligence (AI), machine learning (ML), deep learning, large language models (LLMs), and generative AI to healthcare problems.

Requirements

• PhD completed by the appointment start date in computer science, computer engineering, software engineering, data science, artificial intelligence, biomedical informatics, electrical engineering, industrial or systems engineering, or a closely related engineering or computing field.
• Demonstrated expertise in data science, machine learning, deep learning, natural language processing, large language models, generative AI, or a closely related area.
• Strong programming skills, preferably in Python.
• Experience developing, testing, documenting, and maintaining analytical or research software.
• Knowledge of statistical and machine learning evaluation methods.
• Ability to select appropriate methods for complex real-world data.
• Evidence of research productivity through peer-reviewed publications, conference papers, preprints, software, or other scholarly products.
• Ability to work independently, manage research tasks, meet project deadlines, and collaborate effectively within multidisciplinary and multi-institutional teams.
• Strong written and oral communication skills, including the ability to communicate technical concepts to clinical and nontechnical collaborators.

Responsibilities

• Contribute to multiple research projects applying AI, ML, deep learning, LLMs, and generative AI to healthcare problems.
• Develop, test, document, and maintain analytical or research software.
• Select appropriate statistical and machine learning evaluation methods for complex real-world data.
• Work independently, manage research tasks, and meet project deadlines.
• Collaborate effectively within multidisciplinary and multi-institutional teams.
• Communicate technical concepts to clinical and nontechnical collaborators.

What This Job Offers

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