post-doc offer, INRIA, France : Uncertainty and Sensitivity analysis
Forum 'Emplois' - Sujet créé le 2010-03-05
Uncertainty and Sensitivity analysis for an energy / environment optimization model
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Position type: Post-doctoral Fellow
Functional area: Grenoble (Montbonnot), France
Research theme: Applied Mathematics, computation and simulation
INRIA [www.inria.fr], project : STEEP
Emmanuel Prados (emmanuel.prados@inrialpes.fr),
Elise Arnaud(elise.arnaud@inrialpes.fr)
http://perception.inrialpes.fr/people/Prados/JobOffers/2009-2010/
Deadline for applications: 21/03/2010.
Monthly salary after taxes : 2127.64 € (medical insurance included)
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STEEP is an interdisciplinary team that tries to model regional transition to sustainability and develops mathematical and computational tools for decision-making. This group gathers physicists, modelers, geographers/planners, mathematicians and computer scientists.
This position is offered at the "Rhone-Alpes" Research Unit of INRIA, located near Grenoble and Lyon. The Unit includes more than 700 people, within 34 research teams and 10 support services.
The proposed position takes place in the STEEP team (Sustainability, Transition, Environment, Economy and local Policy). STEEP is an interdisciplinary research team of INRIA Rhône-Alpes, the aim of which is twofold:
- to identify and assess the relevant factors for a transition to sustainability at local (sub-national) scales.
- to develop mathematical and computational decision-making tools to support decision makers in the implementation of this transition.
To this effect, we take advantage of various existing energy / environment / land-use / transport models. These models are designed to simulate the effects of a given policy, or to optimize a policy choice under constraints. A constraint can be for example to reduce the pollutant emission or to satisfy the heating demand.
In particular, the MARKAL family of models is designed to optimize a reference energetic system under the constraint of satisfying a given energetic demand. The ETEM model belongs to this family. It describes the interaction between the energy and the environment (greenhouse gases -- e.g. CO2 -- and ozone precursors -- e.g. NO2 and organic compounds). It is based on linear programming and has been developed as an open source software by Ordecsys [1]
In this context, the aim of this postdoctoral position is to develop an uncertainty and sensitivity analysis for the ETEM model. The goal is to better understand the effect of the parameters uncertainties on the result of the optimization process. Various stochastic methods will be considered, like Monte Carlo approaches, variance-based approach and screening-design method [2].
Therefore, the purpose of this project is to increase the understanding of the interactions between energetic policies and their environmental effects, and to support decision making based on the ETEM model.
This project will be done in collaboration with Ordecsys, and with Drs. Eric Blayo and Clementine Prieur (research group MOISE, INRIA Rhône-Alpes).
[1] http://www.ordecsys.com/en/etem
[2] A comparative review of sensitivity and uncertainty analysis of large-scale systems - II: Statistical methods - D.G. Cacuci, M. Ionescu-Bujor - Nuclear science and engineering: 147, 204-217 (2004)
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Skills and profile
We are seeking highly qualified and motivated applicants with strong skills in applied mathematics. Strong knowledge in optimization is desirable, in particular in stochastic programming. Also, experience in the field of energy and environment will be appreciated. Knowledge of programming languages will be appreciated too.
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Key words
Sensitivity analysis, quantification of uncertainties, optimization, stochastic programming
Energy/environment models, MARKAL models, integrated modeling, sustainable development
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Application
To apply online, please follow the steps described in the INRIA web pages for the post-doctoral fellows [http://www-direction.inria.fr/international/Page_Programmes_en.php?prog=internships].
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Position type: Post-doctoral Fellow
Functional area: Grenoble (Montbonnot), France
Research theme: Applied Mathematics, computation and simulation
INRIA [www.inria.fr], project : STEEP
Emmanuel Prados (emmanuel.prados@inrialpes.fr),
Elise Arnaud(elise.arnaud@inrialpes.fr)
http://perception.inrialpes.fr/people/Prados/JobOffers/2009-2010/
Deadline for applications: 21/03/2010.
Monthly salary after taxes : 2127.64 € (medical insurance included)
----------------------------------------------------------------------------
STEEP is an interdisciplinary team that tries to model regional transition to sustainability and develops mathematical and computational tools for decision-making. This group gathers physicists, modelers, geographers/planners, mathematicians and computer scientists.
This position is offered at the "Rhone-Alpes" Research Unit of INRIA, located near Grenoble and Lyon. The Unit includes more than 700 people, within 34 research teams and 10 support services.
The proposed position takes place in the STEEP team (Sustainability, Transition, Environment, Economy and local Policy). STEEP is an interdisciplinary research team of INRIA Rhône-Alpes, the aim of which is twofold:
- to identify and assess the relevant factors for a transition to sustainability at local (sub-national) scales.
- to develop mathematical and computational decision-making tools to support decision makers in the implementation of this transition.
To this effect, we take advantage of various existing energy / environment / land-use / transport models. These models are designed to simulate the effects of a given policy, or to optimize a policy choice under constraints. A constraint can be for example to reduce the pollutant emission or to satisfy the heating demand.
In particular, the MARKAL family of models is designed to optimize a reference energetic system under the constraint of satisfying a given energetic demand. The ETEM model belongs to this family. It describes the interaction between the energy and the environment (greenhouse gases -- e.g. CO2 -- and ozone precursors -- e.g. NO2 and organic compounds). It is based on linear programming and has been developed as an open source software by Ordecsys [1]
In this context, the aim of this postdoctoral position is to develop an uncertainty and sensitivity analysis for the ETEM model. The goal is to better understand the effect of the parameters uncertainties on the result of the optimization process. Various stochastic methods will be considered, like Monte Carlo approaches, variance-based approach and screening-design method [2].
Therefore, the purpose of this project is to increase the understanding of the interactions between energetic policies and their environmental effects, and to support decision making based on the ETEM model.
This project will be done in collaboration with Ordecsys, and with Drs. Eric Blayo and Clementine Prieur (research group MOISE, INRIA Rhône-Alpes).
[1] http://www.ordecsys.com/en/etem
[2] A comparative review of sensitivity and uncertainty analysis of large-scale systems - II: Statistical methods - D.G. Cacuci, M. Ionescu-Bujor - Nuclear science and engineering: 147, 204-217 (2004)
----------------------------------------------------------------------------
Skills and profile
We are seeking highly qualified and motivated applicants with strong skills in applied mathematics. Strong knowledge in optimization is desirable, in particular in stochastic programming. Also, experience in the field of energy and environment will be appreciated. Knowledge of programming languages will be appreciated too.
----------------------------------------------------------------------------
Key words
Sensitivity analysis, quantification of uncertainties, optimization, stochastic programming
Energy/environment models, MARKAL models, integrated modeling, sustainable development
----------------------------------------------------------------------------
Application
To apply online, please follow the steps described in the INRIA web pages for the post-doctoral fellows [http://www-direction.inria.fr/international/Page_Programmes_en.php?prog=internships].