Post Doctoral Research Associate - Shahriyari Lab

University of Massachusetts AmherstAmherst, MA
82d

About The Position

The Department of Mathematics and Statistics at UMass Amherst is seeking applicants for an interdisciplinary postdoctoral research associate in Dr Shahriyari's group for a project in Advancing Disease Modeling through Mathematical Frameworks: Leveraging Single-Cell Spatial Data to Uncover Tissue-Specific Pathways and Immune Responses. Work includes PDE modeling of cell interactions, gathering data sets, developing and numerically solving diffusion reaction equations, parameter estimation, machine learning, and sensitivity analysis, with an emphasis in building open-source technologies that benefit the entire scientific community. This position is research-only for the 2025-2026 academic year (through August 31, 2026), with the possibility of extension for up to two additional years; may have opportunities for teaching.

Requirements

  • A Ph.D. in Mathematics, Computer Science, Biomedical Engineering, or related discipline is required.
  • Experience in mathematical modeling, programming, particularly Python, is required.

Nice To Haves

  • Prior expertise in PDE modeling.
  • Prior knowledge in biological processes (especially diffusion reaction formulas) is a plus.
  • A record of publications along with the ability to participate in interdisciplinary collaborations.

Responsibilities

  • Perform research on data driven mathematical modeling of tissue's specific immune cells interactions using single cell data sets.
  • Develop open-source software packages.
  • Publish and present our work.
  • Work collaboratively and effectively to promote teamwork and inclusiveness.
  • Work in partnership with colleagues within the CNS community and across the campus to support the Dean's strategic priorities.
  • Perform other duties as assigned in support of the mission and goals of the College of Natural Sciences.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Religious, Grantmaking, Civic, Professional, and Similar Organizations

Education Level

Ph.D. or professional degree

Number of Employees

11-50 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service