Postdoctoral Fellow in Machine Learning and Data Science

Emory University • Atlanta, GA

1d • Onsite

About The Position

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.

Requirements

• 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.
• 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

Nice To Haves

• 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

Responsibilities

• 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.
• 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.

What This Job Offers

• Education Level: Ph.D. or professional degree