Post Doctoral Fellow in Machine Learning and Data Science

The Emory Sports Performance And Research Center (SPARC) is seeking a highly motivated postdoctoral fellow to conduct research in advanced prediction and optimization modeling.

An ideal candidate would use their foundational knowledge of various modeling methods to develop and apply cutting-edge machine learning and data analysis techniques for assessing and modifying injury risk and performance in professional sports based on a large array of multimodal data sources. As part of this fellowship, they will have the opportunity to engage with a community of world-renowned scientists in the field of machine learning, musculoskeletal modeling, and human physiology to further advance their skills and grow their network for future opportunities., * Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career.

• The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments.
• Develops new ideas that promote current research.
• Prepares and publishes scientific manuscripts under the direction of the Principal Investigator.
• May be responsible for operation of specific equipment.
• May teach techniques to others, train, and supervise research staff.
• Positions are temporary appointments as a research trainee.
• The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available.
• Appointments cannot exceed five years.

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

PREFERRED MINIMUM QUALIFICATIONS

• A Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field
• Excellent scientific written and oral skills
• Experience in developing state-of-the-art optimization and prediction models
• Strong programming skills
• Experience in organizing and handling large, multimodal data sets, * Experience using AWS and other high performance computing platforms
• Experience using Databricks, Snowflake, and/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

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.