Open positions for the STEEP Lab.
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STEEP is an interdisciplinary Lab. that tries to model regional transition to sustainability and develops mathematical and computational tools for decision-making. This group gathers physicists modelers, geographers/planners, and mathematicians and computer scientists.
STEEP cooperates with several groups and Labs, in particular with the SOCLE3 group.
STEEP is a Labs of INRIA Grenoble Rhône-Alpes.
Links:
Sensitivity Analysis and quantification of uncertainties for energy/environment model
Framework: Designing policy decision-help tools in the framework of the transition to sustainability.
Project:
The aim of this project is to develop a sensitivity analysis and a quantification of uncertainties for the ETEM model. Etem models the interactions between the energy and the environment (in particular greenhouse gases (eg. CO2) and ozone precursors (NO2 and volatile organic compounds)). This model is an open source energy/environment model developped by Ordecsys.
Illustration from Ordecsys web page.
More precisely, the goals of this internship are:
- To provide a state of the art in stochastic energy/environment models and in stochastic linear programming.
- To develop a theoretical analysis of the sensitivity and the error propagations for the ETEM model.
- To implement an algorithm which allows to estimate then numerically.
- To evaluate the method with experiments on real data.
Keywords:
- Sensitivity analysis, quantification of uncertainties, optimization, stochastic linear programming.
- Energy/environment models, MARKAL models, integrated modelling, sustainable development.
People and cooperations:
- The project will be carried out in the STEEP lab at INRIA Rhône-Alpes, under the supervision of Dr. Emmanuel Prados (INRIA) and Dr. Elise Arnaud (LJK, UJF). The aim of STEEP is to design policy decision-help tools to identify and assess relevant factors in the transition to sustainability at local scale.
- Cooperation: This project will be done in tight collaboration with the SOCLE3 group.
Salary: During the stay, interns receive an allowance. For local student the disposable income is 398.13 € (revenu net). For international students, the income is much more important, see the official international INRIA internships web page.
Profile and conditions for applicants:
- Level of qualifications: Master students / PhD candidate.
- Skills: this internship is suitable for Master students. It requires basic knowledge on optimization (ideally on linear programming) and on probability. A part of the project is devoted to numerical implementation, so knowledge on computing implementation is necessary.
- For international students, see the official INRIA conditions. Unsolicited applications can also be accepted.
Application:
- For students of partner institutions (see official international INRIA internships web page to know what a partner institution is), please follow the official application process described at international INRIA internships web page.
- For students of other institutions, send a letter or a pdf file containing a complete CV, your publication list, and a list of two references (with telephone numbers and postal and e-mail addresses) to Emmanuel Prados.
- Deadline: June, 2010.
Start date: As soon as possible!
Duration: The duration of internships is 6-12 months within the context of a Masters or PhD course.
Prospect: The internship might lead into a PhD thesis project.