Postdoc: Turning Lake Data into Community Water Action

NALMS; Michigan; Remote; USD 60,000 - 75,000; Full time

Job summary

Michigan State University seeks a 1.5‑year Postdoctoral Researcher to conduct data‑intensive lake and stream ecology research in partnership with communities. The role involves analyzing MiCorps data, applying LAGOS-US tools, and translating results into actionable resources for watershed stakeholders.

The candidate will co‑develop questions, harmonize datasets, and publish code and data, with opportunities to supervise undergraduates.

Qualifications

• Analytical skills and experience for conducting big-data lake ecology research using statistics and computer science
• Knowledge of open science tools (Github, Zenodo)
• Demonstrated interest in participatory or community-engaged research and partnering with communities
• Ability to conduct independent and collaborative research; strong written and oral communication skills

Responsibilities

• Co-create research questions with the team
• Acquire and harmonize existing data and author metadata
• Visualize, analyze, and interpret data
• Review and synthesize literature; write manuscripts, reports, and grant proposals
• Publish code and data; present results to diverse audiences
• Potential to supervise undergraduate students or on-call staff

Skills

Big data analysis

Statistical modeling

Machine learning

Data mining

Education

Doctorate in ecology / related discipline

Tools

Github

Zenodo

Job description

Michigan State University seeks a 1.5‑year Postdoctoral Researcher to conduct data‑intensive lake and stream ecology research in partnership with communities. The role involves analyzing MiCorps data, applying LAGOS-US tools, and translating results into actionable resources for watershed stakeholders.

The candidate will co‑develop questions, harmonize datasets, and publish code and data, with opportunities to supervise undergraduates.