Cornell Reed Group Post Doctoral Positions

I have several post-doctoral research positions within my group here at Cornell and would appreciate if you would share the summary of positions below. For all of these openings, strong computational and mathematical skills are essential, with preference for programming experience in Python, Matlab, and C/C++. Successful candidates are expected…

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Transportation infrastructures in a low carbon world: An evaluation of investment needs and their determinants (2019)

Fisch-Romito, Vivien, and Céline Guivarch. “Transportation Infrastructures in a Low Carbon World: An Evaluation of Investment Needs and Their Determinants.” Transportation Research Part D: Transport and Environment 72 (July 1, 2019): 203–19. https://doi.org/10.1016/j.trd.2019.04.014.Transportation infrastructures will either lock in transportation patterns in high CO2 modes or foster low-carbon pathways. At the…

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Learning about climate change uncertainty enables flexible water infrastructure planning (2019)

Fletcher, S., Lickley, M., & Strzepek, K. (2019). Learning about climate change uncertainty enables flexible water infrastructure planning. Nature Communications, 10(1), 1782. https://doi.org/10.1038/s41467-019-09677-x Water resources planning requires decision-making about infrastructure development under uncertainty in future regional climate conditions. However, uncertainty in climate change projections will evolve over the 100-year lifetime…

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Testing the potential of Multiobjective Evolutionary Algorithms (MOEAs) with Colorado water managers (2019)

Rebecca Smith, Joseph Kasprzyk, Lisa Dilling, Testing the potential of Multiobjective Evolutionary Algorithms (MOEAs) with Colorado water managers, Environmental Modelling & Software, Volume 117, 2019, Pages 149-163, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2019.03.011. Multiobjective Evolutionary Algorithms (MOEAs) generate quantitative information about performance relationships between a system’s potentially conflicting objectives (termed tradeoffs). Research applications have suggested…

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Robust abatement pathways to tolerable climate futures require immediate global action (2019)

J. R. Lamontagne, P. M. Reed, G. Marangoni, K. Keller, and G. G. Garner. Robust abatement pathways to tolerable climate futures require immediate global action. Nature Climate Change, page 1, March 2019. ISSN 1758-6798. doi: 10.1038/s41558-019-0426-8. URL https://www.nature.com/articles/s41558-019-0426-8. Disentangling the relative importance of climate change abatement policies from the human–Earth…

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Investments under non-stationarity: economic evaluation of adaptation pathways (2019)

Haasnoot, M., van Aalst, M., Rozenberg, J., Dominique, K., Matthews, J., Bouwer, L. M., … Poff, N. L. (2019). Investments under non-stationarity: economic evaluation of adaptation pathways. Climatic Change. https://doi.org/10.1007/s10584-019-02409-6 Investment decisions about capital-intensive, long-lived infrastructure are challenging due to uncertainty about their future performance, particularly if the performance is…

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Dynamically Optimizing the Strategic Plan of Mining Complexes (2019)

Del Castillo, M. F., & Dimitrakopoulos, R. (2019). Dynamically optimizing the strategic plan of mining complexes under supply uncertainty. Resources Policy, 60, 83-93. https://www.sciencedirect.com/science/article/pii/S0301420718302307 Abstract Mining complexes are comprised of multiple mines and mineral processing streams, each governed by internal (mineral deposit, operation) and external (commodity prices) uncertainties, and must be optimized jointly…

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Advancing disaster policies by integrating dynamic adaptive behaviour in risk assessments using an agent-based modelling approach (2019)

Haer,T. Botzen, W.J.W, Aerts, J.C.J.H. (2019) Advancing disaster policies by integrating dynamic adaptive behaviour in risk assessments using an agent-based modelling approach. Environmental Research Letters 14 044022 https://doi.org/10.1088/1748-9326/ab0770 Recent floods in the United States and Asia again highlighted their devastating effects, and without investments in adaptation, the future impact of…

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Bezos World Or Levelers: Can We Choose Our Scenario?

Artificial intelligence (AI) augurs changes in society at least as large as those of the industrial revolution.  But much of the policy debate seems narrow – extrapolating current trends and asking how we might manage their rough edges.  This essay instead explores how AI might be used to enable fundamentally different future worlds and how one such future might be enabled by AI algorithms with different goals and functions than those most common today.

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