PhD and Post-Doc Opportunity: Research Analysis of Integrated Human-earth Systems and Water Resources, Tufts University

As part of the emerging water resources systems research group, there are 2 PhD and 1 post-doctoral positions available starting in Fall 2018. The group's primary research focus will be robustness and resilience frameworks for planning and management of integrated water-energy-land systems confronting climate, demographic, and technological change. This research will bridge hydrology, statistics, multiobjective decision making, operations research, and high performance computing.  The group is seeking to fill positions for the projects summarized below.

Project #1: Water-Energy-Land Challenges. Seeking PhD candidates with significant interest in advancing multiobjective management frameworks for integrated water-energy-land systems operations.  The initial application will be the Columbia and Snake Rivers, home to the largest hydropower system in the US and the focus of rapid renewable energy deployment.  This research will bridge hydroclimatology, water management, and computational decision support.   An ideal candidate will have significant interests in computational modeling with experience related to climate, hydrology, or energy systems.

Project #2: Multi-Sector, Multi-Scale Risk and Robustness Analysis for Changing Integrated Human-Earth Systems. Seeking a post-doctoral or PhD candidate with significant interests in risk and robustness issues related to climate change mitigation and adaptation strategies.  This project will bridge advanced statistical diagnostics and high performance computing for current and emerging integrated assessment modeling frameworks.  The focus will be on advancing techniques to better evaluate multi-sector, multi-scale interdependencies and vulnerabilities.  This research will build on ongoing collaborations with researchers at various universities and Department of Energy national labs.  An ideal post-doc candidate will have experience in advanced computational statistics, uncertainty analysis, operations research, economics, and energy or water resources systems (or combinations).  An ideal PhD candidate will have experience in computational modeling, economics, and statistics, with an interest in climate change impacts, adaptation, and mitigation.

For more information, contact Jonathan Lamontagne (

Doctoral candidates should send CV/resume to Graduate application deadline is December 15, 2017.

Post-doctoral candidates should send a full CV, 1 or 2 relevant publications, and at least 3 references to