Publisher
source

Boston University

Postdoc Positions in GHG Modeling, MRV Frameworks, and Data Assimilation at Boston University Boston University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral positions at Boston University funded from $70,000 plus benefits, for 12 months and renewable up to 3 years.

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Country

United States

University

Boston University

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Keywords

Computer Science
Data Science
Ecology
Environmental Science
Biology
Remote Sensing
Earth Science
Forecasting
Science Communication
Bayesian Statistics
High Performance Computing
Statistics

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About this position

Boston University’s Dept. of Earth & Environment is advertising 2 postdoctoral positions with PI Michael Dietze focused on GHG modeling, MRV frameworks, and nature-based climate solutions using the open-source PEcAn platform, in collaboration with EDF and NCSA.

Position 1: Outreach, Training & Capacity-building
This role centers on demo projects (CARB, Funga, EDF), tribal-partner training materials, and R Markdown modules. A graduate degree in ecology, environmental science, or science communication is preferred, with a PhD preferred.

Position 2: State Data Assimilation & Forecasting
This role focuses on national GHG rolling forecasts and 5-year projections updated monthly. A graduate degree in ecology, remote sensing, data science, or statistics is preferred, with a PhD preferred. Strong skills in Bayesian statistics, Ensemble Kalman Filter methods, and HPC are desired; PEcAn experience is a plus.

Funding: from $70,000 plus benefits; 12 months initially, renewable up to 3 years.

How to apply: Send a cover letter, CV, and 3 references to [email protected]. Applications are rolling and there is no fixed deadline.

Keywords: environmental science, earth science, ecology, remote sensing, data science, statistics, climate modeling, forecasting, science communication.

Funding details

Postdoctoral positions at Boston University funded from $70,000 plus benefits, for 12 months and renewable up to 3 years.

What's required

Graduate degree in ecology, environmental science, science communication, remote sensing, data science, or statistics; PhD preferred for both positions. For the outreach/training role, experience with demo projects, tribal-partner training materials, and R Markdown modules is relevant. For the state data assimilation/forecasting role, Bayesian statistics, Ensemble Kalman Filter, HPC experience, and PEcAn familiarity are preferred.

How to apply

Email [email protected] with a cover letter, CV, and three references. Applications are rolling with no fixed deadline.

More information can be found here

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