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Mathematical Modeling Postdoc Jobs in Tennessee (NOW HIRING)

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Mathematical Modeling Postdoc information

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What does a Mathematical Modeling Postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are some common challenges faced by Mathematical Modeling Postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

What are the key skills and qualifications needed to thrive as a Mathematical Modeling Postdoc, and why are they important?

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.
What are popular job titles related to Mathematical Modeling Postdoc jobs in Tennessee? For Mathematical Modeling Postdoc jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling Postdoc jobs in Tennessee look for? The top searched job categories for Mathematical Modeling Postdoc jobs in Tennessee are:
Mathematical Modeling Postdoc jobs near you
Postdoctoral Scholar-Pediatrics Infectious Disease

Postdoctoral Scholar-Pediatrics Infectious Disease

The University of Tennessee

Memphis, TN • On-site

Full-time

Re-posted 25 days ago

Job description


The University of Tennessee Health Science Center is seeking a Postdoctoral Scholar to work in Pediatrics Infectious Disease. This position develops and analyzes mathematical models of the immune response to viral and bacterial infections and coinfections. This lab is a dual dry/wet laboratory and uniquely generates robust data sets to train and validate model predictions.
Responsibilities
  • Designs, implements, and analyzes novel dynamical mathematical and computational models.
  • Prepares manuscripts for peer-reviewed journals and contributes to grant proposals.
  • Utilizes models to generate new hypotheses and help design new experiments.
  • Develop independent research skills and career trajectory.
  • Collaborate with other lab members, faculty, staff, and external colleagues on research projects.
  • Presents findings at lab meetings, seminars, and conferences.
  • Maintains accurate records and ensures reproducibility of results.
  • Assists with progress reports and manages research resources responsibly.
  • Provides technical guidance and mentorship to students.

Qualifications
EDUCATION: Ph.D. in Mathematics, Computer Science, Physics, Engineering, or a related field.
KNOWLEDGE, SKILLS, AND ABILITIES:
  • Skill in viral and bacterial infection and immune response modeling.
  • Demonstrated ability to conduct interdisciplinary research in these areas.
  • Skill in model development, including formulation, implementation, and validation of computational approaches.
  • Knowledge of parameter estimation techniques and skill in applying data-driven modeling methods to complex biological data.
  • Proficient programming skills in Matlab and/or Python, with the ability to write efficient, well-documented code.
  • Excellent oral and written communication skills, with the ability to present research clearly to scientific and non-scientific audiences.
  • Ability to work independently, as well as collaboratively in a team.
  • Skill in mentoring and providing guidance to graduate students, technicians, or undergraduate researchers.

WORK SCHEDULE: This position may frequently be required to work weekends and evenings. May require occasional overnight travel.

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