[ECOLOG-L] Ecological Forecasting Summer Course

[Dietze, Michael]

Summer Course:
Ecological Forecasting
July 28th-Aug 2nd, 2019
@ Boston University

As part of the NSF-funded Near-term Ecological Forecasting Initiative this 
course targets graduate students, post-docs, and early career agency and 
academic scientists interested in learning about ecological forecasting in a 
variety of contexts. This course is adapted from the recently published 
Ecological Forecasting book by 
Dr. Michael Dietze and will highlight iterative forecasting approaches.

Topics include Bayesian statistics (simple models, hierarchical Bayes, 
state-space models, etc); fusing multiple data sources; forecast uncertainty 
propagation & assessment; iterative data assimilation; machine learning; 
decision science; and a range of ecological forecasting applications such as 
phenology, microbiomes, carbon, infectious disease, and aquatic productivity.


Applications are due February 15th, 2019.
Visit https://ecoforecast.wordpress.com/summer-course/ for information on 
applying.

[ECOLOG-L] Postdoc: Forest ecology

[Dietze, Michael]

Postdoctoral Fellow

Climate change impacts on forest biodiversity:

individual risk to subcontinental impacts


A post-doctoral position in forest ecology is available in the Dietze lab at 
Boston University as part of a large cross-site collaborative experimental 
forest gap study across as suite of eastern US temperate and subtropical forests

Duties:

Candidate will be responsible for making forest demographic and ecosystem 
measurements for two study sites (New Hampshire, Wisconsin). These sites are 
part of a larger cross-site study of 15 sites spanning from Puerto Rico to New 
Hampshire. Candidate will also work in collaboration with an interdisciplinary 
team of ecologists and statisticians to assess sensitivities to climate change 
and will contribute to cross-site synthesis efforts using the Ecosystem 
Demography terrestrial biosphere model and PEcAn model informatics system.

Qualifications:

Minimum qualifications are a doctoral degree in plant ecology or a related 
ecological or environmental science. Experience with, or interest in learning, 
Bayesian statistics, ecosystem modeling, and ecoinformatics tools is preferred. 
Salary is commensurate with experience and qualifications. 18 months of funding 
is available.

Interested applicants are encouraged to submit a cover letter, CV, and contact 
info for 3 references to Dr. Michael Dietze (dietze at bu.eduhttp://bu.edu). 
More information about the Dietze lab is available at 
http://people.bu.edu/dietze

Boston University is an Equal Opportunity/Affirmative Action Employer.

[ECOLOG-L] Post-doctoral position in ecosystem model-data synthesis

[Dietze, Michael]

Postdoctoral Fellow



PalEON: a PaleoEcological Observatory Network

to assess terrestrial ecosystem models

http://paleonproject.org


Post-doctoral position in ecosystem model-data synthesis is available with the 
PalEON research team.



Duties:

Candidate will be expected to work collaboratively within an interdisciplinary 
research group of paleoecologists, statisticians, and modelers with the aim of 
assimilating paleoecological data for northern temperate and boreal forests 
into a suite of Earth System and ecosystem models. The primary responsibility 
is to coordinate model-data inter-comparison activities and shared data among 
the modeling teams, to analyze model dynamics, and to assess model-data 
fidelity across multiple models. The secondary responsibility is to help 
complete the Ecosystem Demography model runs for the model-data 
inter-comparison. Research questions focus on validating ecosystem models at 
centennial time-scales, making inference about pre-settlement ecosystem 
dynamics and biogeochemical cycles, and exploring the sensitivity of models to 
historical vegetation. Position will be supervised by Dr. Michael Dietze in the 
Department of Earth and Environment at Boston University.



Qualifications:

Minimum qualifications are a doctoral degree in a relevant ecological or 
environmental science. The ideal candidate would have experience with more than 
one of the following areas: ecosystem models, paleoecological data, Bayesian 
statistics, R, linux, computer programming, data assimilation, and climate 
downscaling techniques.

Salary commensurate with experience and qualifications with up to four years of 
funding available. Evaluation of applications is rolling with a preferred start 
summer 2014

Interested applicants are encouraged to submit a cover letter, CV, and contact 
info for 3 references to Dr. Michael Dietze (dietze at bu.eduhttp://bu.edu). 
Candidates planning on attending AGU are encouraged to contact Dr. Dietze prior 
to the conference. More information available at http://people.bu.edu/dietze

[ECOLOG-L] Building forest management into Earth system modeling: Scaling from stand to continent

[Dietze, Michael]

A post-doctoral research fellowship in ecological forecasting is available in 
the Dietze lab in the Department of Earth and Environment at Boston University. 
This project will focus on how forest management, climate, and disturbance 
impact the structure and function of forest ecosystems in the Southeast and 
Pacific Northwest.

The postdoc on this project will work with an interdisciplinary team from 
University of Alabama, University of Florida, University of Wisconsin, Montana 
State University, University of Washington, and the Joseph W. Jones Ecological 
Research Center in order to improve the representations of forest management 
within Earth system models. We will specifically focus on using the Ecosystem 
Demography model to forecast carbon, water, and forest structural 
characteristics under various management and climate scenarios. Additional 
analyses will integrate field measurements and remote sensing to assess the 
important spatial scales of variability in management and disturbance and their 
impacts on ecosystems.

The project will make use of, and contribute to, the ecoinformatic tools being 
developed by the PEcAn project 
(http://pecanproject.orghttp://pecanproject.org/), which aims to make 
ecosystem models, data assimilation, and forecasting more accessible, 
automated, and repeatable.


Qualifications:

Minimum qualifications are a doctoral degree in forest ecology or a related 
ecological or environmental science. Experience with at least one of the 
following is preferred: Bayesian statistics, ecosystem modeling, R, or Fortran. 
Salary is commensurate with experience and qualifications and up to two years 
of funding is available. Preferred start date: June 1, 2013

Submit a cover letter, CV, and contact info for 3 references to Jackie Getson 
(getsonj at bu.eduhttp://bu.edu/). Applications will be reviewed on a rolling 
basis. For more information visit 
http://people.bu.edu/dietzehttp://www.life.uiuc.edu/dietze or contact Dr. 
Michael Dietze (dietze at bu.eduhttp://bu.edu/)