Post Doctoral Fellow in Machine Learning and Data Science

Emory University • Flowery Branch, GA

5d • Onsite

About The Position

The Emory Sports Performance And Research Center (SPARC) seeks a highly motivated postdoctoral fellow to conduct research in advanced prediction and optimization modeling. The fellow will apply foundational modeling knowledge and develop cutting-edge machine learning and data analysis techniques to assess and modify injury risk and performance in professional sports using large, multimodal data sources. The fellowship offers the opportunity to work with scientists in machine learning, musculoskeletal modeling, and human physiology and to develop skills and professional connections.

The fellow helps design and conduct research in a specified field while receiving advanced training from a Principal Investigator. The research area is determined by the department and laboratory. The position is a temporary research-trainee appointment, initially for one year, with renewal expected if progress is satisfactory and funding is available. Appointments may not exceed five years.

Requirements

• Doctoral degree or equivalent (such as Ph.D., M.D., ScD., D.V.M., or DDS) in an appropriate field.
• Excellent scientific writing ability and strong oral communication skills.
• Ability to work effectively and collegially with colleagues.
• Additional qualifications as specified by the Principal Investigator.

Nice To Haves

• Ph.D. in Computer Science, Data Science, Economics, Engineering, or a related field.
• Experience developing state-of-the-art optimization and prediction models.
• Strong programming skills.
• Experience organizing and handling large, multimodal data sets.
• Experience using AWS and other high-performance computing platforms.
• Experience using Databricks, Snowflake, or similar data analytics platforms.
• Knowledge of human musculoskeletal anatomy.
• Experience developing human pose estimation and biomechanics models.
• Experience in musculoskeletal modeling/OpenSim and muscle optimization.
• Interest in improving health and performance outcomes in collegiate and professional sports.
• Excellent scientific written and oral skills.

Responsibilities

• Help design and conduct research within a specified field under the training and direction of a Principal Investigator.
• Design and evaluate experiments.
• Develop new ideas that promote current research.
• Prepare and publish scientific manuscripts under the direction of the Principal Investigator.
• Potentially operate specific equipment.
• Potentially teach techniques to others, train, and supervise research staff.
• Develop and apply machine learning and data analysis techniques to assess and modify injury risk and performance in professional sports using multimodal data.

What This Job Offers

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