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Job ID: 204058

Postdoctoral, computational biological modeling
University of Florida

Date Posted Jan. 22, 2023
Title Postdoctoral, computational biological modeling
University University of Florida
Gainesville, FL, United States
Department Medicine
Application Deadline Open until filled
Position Start Date Available Immediately
  • Post-Doc
  • Mathematics/Applied Mathematics
    Biology - Computational

Dr. T.J. Sego is recruiting for one postdoctoral position in computational biological modeling. Dr. Sego’s research focuses on development of computational biological models, simulation methods and software, and their application to problems in epithelial tissue dynamics, respiratory disease and immune response. The postdoctoral position will develop quantitative biological models and apply them in simulations of dynamic microenvironments and heterogeneous tissues. The postdoctoral position is available immediately for a duration of one year and subject to annual renewal based on performance and availability of funds.


The candidate will develop conceptual and quantitative models using existing biological knowledge, and implement those models in single-cell and multicellular contexts as executable software. Methodologies will include, but are not limited to, systems of ordinary differential equations, stochastic Boolean networks, multiscale and agent-based modeling.

The candidate will conceptualize, plan and execute projects aligned with overarching lab goals and lead development of resulting submissions to academic journals for scholarly publication. The candidate will also assist with development of journal submissions supporting collaborations as relevant to the candidate’s experience, expertise and interests.

Dr. Sego plans to submit applications for funding to support long-term research projects related to the position, and so the candidate will assist with, and eventually lead, developing, writing and submitting research proposals to agencies like National Institutes of Health and National Science Foundation. The candidate will work closely with, and receive training from, Dr. Sego as relevant to the candidate’s experience, professional development and career goals.


The candidate will hold a Ph.D. in biology, mathematics, engineering or related field. The candidate will have experience in developing and applying ordinary differential equation and/or Boolean network models of biological systems as demonstrated by peer-reviewed publications. Experience implementing dynamical models in Python, C++ or a comparable programming is preferred but not required. The candidate will also have a working understanding of agent-based modeling principles and biophysical processes relevant to tissue microenvironments and intercellular interactions, such as diffusion. The candidate must have strong communication skills in the form of effective, engaging public speaking and clear, concise writing.


The University of Florida is situated in beautiful Gainesville, FL, a thriving town with a low cost of living, outstanding community, access to numerous parks and recreational facilities, and year-round outdoor weather. As a member of the Laboratory for Systems Medicine, the candidate will work in a highly collaborative research environment that closely integrates quantitative, clinical and experimental research. 


Applications should include a cover letter, updated curriculum vitae and contact information for three references. Relevant peer-reviewed publications by the applicant are welcome but not necessary. Review of completed applications will continue until the position is filled. The Laboratory for Systems Medicine is committed to increasing diversity, and especially welcomes applications from researchers who are members of underrepresented groups. For more information or to apply, please contact Dr. T.J. Sego,

  • The University of Florida strives to foster a diverse, equitable, and inclusive environment for all students, employees, partners, and visitors. UF is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status. 

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