Postdoc: Disease Effects on Reef-Fish Behavior & Ecology

University of Colorado Boulder; Boulder (CO); On-site; USD 54,000 - 66,000; Full time

Benefits offered by this job

Medical,dental, and retirement plans

Generous paid time off

Tuition assistance for you and your-de

Eco Pass for local transit

Job summary

The University of Colorado Boulder invites applications for a two-year postdoctoral Scientist position in quantitative ecology to model how disease and behavior influence roving coral reef fishes and their populations. The project combines fieldwork, agent-based and population models, and integration of empirical and theoretical approaches.

The selected scientist will be mentored by the Johnson Lab and Gil Lab, with joint responsibilities across labs, and contribute to data synthesis, manuscript

Qualifications

• PhD in ecology, evolutionary biology, applied mathematics, quantitative biology, fisheries science, or a related field.
• Strong quantitative and computational skills.
• Experience in dynamical population models or demographic modeling is preferred.

Responsibilities

• Develop and implement multiple components of the project, including analysis of disease emergence and environmental drivers; development and application of population and simulation models; integration of behavioral, disease, and demographic data.
• Incorporate empirical data on how infection affects movement and foraging into ecological models; connect individual-based dynamics to population-level relationships.
• Collaborate with Johnson and Gil labs, mentor graduate and undergraduate researchers, and contribute to manuscript development and data synthesis.

Skills

Quantitative skills

Dynamical population models

Agent-based modeling

Education

PhD in ecology or related field

Strong quantitative and computational skills

Job description

The University of Colorado Boulder invites applications for a two-year postdoctoral Scientist position in quantitative ecology to model how disease and behavior influence roving coral reef fishes and their populations. The project combines fieldwork, agent-based and population models, and integration of empirical and theoretical approaches.

The selected scientist will be mentored by the Johnson Lab and Gil Lab, with joint responsibilities across labs, and contribute to data synthesis, manuscript