i*****8 发帖数: 1 | 1 Job Posting
The University of Massachusetts, Amherst is seeking a multi-disciplinary
post-doctoral scientist to develop an agent-based modeling (ABM) framework
for integrated energy-water-land nexus at multiple scales.
Projects Overview:
Two projects are related to this position.
The primary goal of the CGIAR sponsored project is to develop a generic
agent-based modeling framework and to test this approach in 2 major basins:
the Niger and Mekong River. The envisioned framework couples a distributed
hydrologic model: SWAT with an agent-based river basin model, where water
users, including people and ecosystems are defined as agents. This “next
generation of river basin modeling” approach allows model builders to
interact with key stakeholders: policy makers, the private sector, NGOs and
large-scale investors using evidence-based research from water, land, and
ecosystems studies. It also provides a framework that allows key
stakeholders to engage with each other.
The primary goal of the DOE sponsored project (pending) is to incorporate
the agent-based modeling approach into the flexible and integrated modeling
framework developed by national labs that captures the dynamic multi-scale
interactions among climate, energy, water, land, socioeconomics, critical
infrastructure, and other sectors. The agent-based model will be coupled
with a river-reservoir-routing model: RiverWare to simulated climate change
adaption actions and human behaviors at watershed scale. A regional ABM will
be developed based the ABM-RiverWare framework and this regional ABM will
be applied to upscale the watershed scale decisions to regional scale. The
overall integrated modeling framework will be used to study the
vulnerability and resilience of coupled human and natural systems from local
to continental scales under scenarios that include short-term shocks, long-
term stresses, and feedbacks associated with human decision making.
Duration:
This is a one-year position with the possibility of extension for another
two years depends on work performance and available funding. The starting
date is flexible but should be ideally no later than 2016/10/15.
Minimum Qualifications:
• PhD in Civil and Environmental Engineering or Natural Resources
Management or similar fields;
• Experience in developing and applying optimization models/
hydrologic model in water resources, including knowledge of optimization and
system analysis;
• Coding experience in R, Matlab, Python or C++;
• Extensive understanding of hydrology and water resources
management;
• Experience conducting original research and publishing in peer
reviewed scientific journals;
• Experience synthesizing and integrating research findings and
lessons learned, and communicating next steps and strategy to a management
team; and
• Experience designing, organizing and directing multiple complex
projects of strategic importance and working on a multi-disciplinary team;
Major Duties:
1. Modifying the existing agent-based model (under development and
coupled with SWAT) for the Mekong and Niger Basin;
2. Running the ABM-SWAT model for scenario analyses (e.g. dam development
, climate change, etc.);
3. Developing an agent-based model that coupled with RiverWare (Watershed
-ABM) to simulate influences of human decisions on watershed level energy-
water nexus;
4. Developing the upscale routine based on ABM-RiverWare watershed model
and coupled the resulted Regional-ABM with land surface model and/or energy
production cost model via agent aggregation;
5. Using Watershed and Regional scale ABM to evaluate system-wide
vulnerability and resilience as well as climate change adaption;
6. Participate in other works in Dr. Y. C. Ethan Yang’ research group,
located at the University of Massachusetts - Amherst
Location:
University of Massachusetts-Amherst, Amherst, MA.
The PI on this project for the University of Massachusetts is Prof. Y. C.
Ethan Yang https://cee.umass.edu/faculty/yi-chen-yang
Please send letter of interest, CV and/or questions to [email protected]/* */ |
|