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.
JOB DESCRIPTION:
- 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.
MINIMUM QUALIFICATIONS:
- 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
PREFERRED QUALIFICATIONS:
- 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
NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.