Post-doc – Uncertainty and Sensitivity analysis for a land use / transport model

Keywords :

  • Sensitivity analysis, quantification of uncertainties, optimization, stochastic programming,
  • Land use / transport models, integrated modelling, sustainable development.

Topic: In the steep team, we aim at developing mathematical and computational decision-making tools to support decision makers in the implementation of the transition to sustainability.To do so, we use and implement various 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.

In particular, we are interested in TRANUS (, which is an integrated land use and transport modeling package. TRANUS simulates the location of activities in space, land use, the real estate market and the transportation system. It may be applied to urban or regional scales. It is specially designed for the simulation of the probable effects of projects and policies of different kinds in cities and regions, and to evaluate the effects from economic, financial and environmental points of view.

In this context, the aim of this post doctoral position is to develop an uncertainty and sensitivity analysis for the TRANUS model applied in Grenoble. The goal is to understand the effect of the parameter uncertainties on the result of the simulation process. Various stochastic methods will be considered, like Monte Carlo approaches, variance-based approach and screening-design method.

Environment: 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). This position is offered at the Rhône-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. This work will be done in collaboration with LEPII/EDEN, and IDDRI.

Salary: around 2 600 € gross/month. Monthly salary after taxes : around 2100 € (medical insurance included).

Profile and conditions for applicants:

  • We are seeking qualified and motivated applicants with strong skills in applied mathematics and computer science. Strong knowledge in probability is desirable, in particular in stochastic programming. Knowledge of programming languages will be appreciated.
  • Priority will be given to candidates who have studied their PhD abroad, but all high-quality applications will be carefully considered.
  • You must have had your viva/defended your thesis within the last year (counted from the recruitment date). If you have not had your viva/defended your thesis at the time of application, you must explicitly state the date on which you will do so, as well as the examining board.

Duration: 18 months.