Postdoctoral Associate - Pulmonary
About The Position
Dr. T.J. Sego is recruiting one postdoctoral associate for research in computational biological modeling. The role will develop, implement, calibrate, and validate digital twin architectures and computational workflows for critical care applications. Work includes developing reusable scientific software, model-format libraries, evolutionary ensemble methods, workflow twin testbeds, and dual-timescale refinement frameworks. The position is available immediately for one year and is subject to annual renewal based on performance and availability of funds. The postdoctoral associate will conduct research aligned with project goals and timelines, lead development of academic journal submissions, help scope future projects, identify follow-up opportunities based on findings, and contribute to subsequent research questions, proposals, and related deliverables. The role is based in the Laboratory for Systems Medicine at the University of Florida, in a highly collaborative research environment integrating quantitative, clinical, and experimental research. The research focuses on computational biological models, simulation methods and software, and applications in critical care, respiratory disease, and immune response.
Requirements
- Ph.D. in computer science, biomedical engineering, computational biology, systems biology, applied mathematics, or a closely related field.
- Experience in scientific software development, computational modeling, simulation, digital twins, or workflow modeling, demonstrated by peer-reviewed publications.
- Experience with the Python programming language.
- Strong communication skills, including effective public speaking and clear, concise writing.
Nice To Haves
- Experience with collaborative software development practices, including version control, automated testing, continuous integration and continuous delivery pipelines, and reproducible computational workflows.
- Experience with systems biology model formats, including SBML or Antimony.
- Experience with evolutionary or ensemble-based computational methods.
- Experience with model calibration and validation.
- Experience with performance and risk assessment.
Responsibilities
- Develop, implement, calibrate, and validate digital twin architectures and computational workflows for critical care applications.
- Develop reusable scientific software, model-format libraries, evolutionary ensemble methods, workflow twin testbeds, and dual-timescale refinement frameworks.
- Carry out research tasks aligned with project goals and produce deliverables according to project timelines.
- Lead development of research submissions to academic journals.
- Assist with scoping future projects and identifying follow-up work based on project findings.
- Contribute to future research questions, proposals, and related scholarly deliverables.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
