Job openings in Complex systems
Written by Graham Clarke Wednesday, 07 October 2009 11:29
Job openings in Complex Systems
To view all job openings or announce yours: http://jobs.cssociety.org/ Three Post-doctoral Positions Modeling of social networks/complex systems CNRS - National Center for Scientific Research, Paris
Three post-doctoral positions are offered in the field of social network and complex system modeling, including one up-to-3-year position on "quality collectives" and two 1-year positions on blog networks and opinion diffusion.
Herebelow are short descriptions of each of the positions - for more details, including application and employment details, please download the full job adverts here:http://camille.roth.free.fr/projects.php
Location: Paris, France.
Salary range: 1900-2500 euros net per month, depending on previous experience.
Applications received by October 31, 2009 will receive fullest consideration, but applications will continue to be accepted until positions are filled. Interviews are expected to be held around during the first two weeks of November, while the contract may start on or after December 1st, 2009.
For informal discussions, please contact Dr. Camille Roth ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it <mailto: This e-mail address is being protected from spambots. You need JavaScript enabled to view it > ).
Post-doctoral fellowship: Machine learning techniques for computing viability limits of dynamical systems at Cemagref - Laboratoire d'Ingénierie des Systèmes Complexes (LISC), France
Duration: 18 months, to begin January 1st 2010.
Location: Clermont-Ferrand, France, Laboratoire d'Ingénierie des Systèmes Complexes (Cemagref), node of PASCAL2 network (together with LIMOS Université Blaise Pascal Clermont-Ferrand, Sequel Project INRIA Lille, LITIS INSA Rouen)
Supervisors: Guillaume Deffuant (LISC) and Gaëlle Loosli (LIMOS) Gross salary: ¤ 2150 per month.
Deadline for applications: 30 October 2009
Subject:
LISC and LIMOS collaborate in the elaboration of efficient algorithms for determining viability limits (or viability kernels) of dynamical systems. The problem is to approximate the boundary of a manifold in the state space of the system as precisely as possible. This manifold corresponds to the states from which there exists a control policy that maintains the viability of the system (i.e. keeps it within the boundaries of an a priori given constraint set). The first algorithms, based on "support vector machines", provide good results in general. However for some geometric configurations, they can create artificial boundaries which make the global process of approximation fail. Moreover, SVMs are not very convenient to compute a distance to the boundary, which is important in the algorithm.
The research subject of the post-doctorate is to develop new learning algorithms which avoid these problems, while being as parsimonious as possible in order to insure compact representations in spaces of large dimension.
This approach will be tested on different dynamical systems representing ecological or social phenomena.
Candidate profile:
PhD in machine learning or applied mathematics.
Contact:
Send CV and motivation letter to: This e-mail address is being protected from spambots. You need JavaScript enabled to view it <mailto: This e-mail address is being protected from spambots. You need JavaScript enabled to view it >
PhD in Engineering Design and Supply Chain Management at Design Group, DDEM, Faculty of Mathematics, Computing and Technology The Open University
PhD studentship on EU project CONVERGE "Collaborative Communication Driven Decision Management in Non Hierarchical Supply Chains of the Electronics Industry" The PhD will address engineering change across the supply chain. Changes in the design of a product may have knock-on effects on the supply chain; and vice versa, changes occurring in the supply chain might affect the design of the product. How engineering changes are assessed and communicated through a supply chain is vital to its effective operation. This PhD research will investigate the interface between engineering design and supply chain design and management. The project will involve empirical studies with industrial projects as well the development of models of change prediction processes and methods and their application.
You will have a keen interest in industrial practices, excellent people skills as well a good background in mathematical modelling and programming. The project would suit somebody with a degree in Engineering, Computer Science or Mathematics at a 2(1) or 1 level. While it is not essential, a good command of French or German would be beneficial as the research will be carried out in close collaboration with the University of Bordeaux and the University of Bremen. The PhD is available immediately and will run for three years.
Potential applicants should contact Claudia Eckert ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ). The studentship will provide a living stipend and will cover University fees. Non-EU candidates are eligible but may need to fund the difference between Home and Overseas fees.
General information about studying for a PhD at The Open University, including an application form and details of fees, is available at: http://www.mct.open.ac.uk/studentships Application forms can be downloaded on http://www.mct.open.ac.uk/studentships
Please send your application to: Paul Courtnage, Department Secretary, DDEM Venables, Post Point D, Walton Hall, Milton Keynes, MK7 6AA. This e-mail address is being protected from spambots. You need JavaScript enabled to view it <mailto: This e-mail address is being protected from spambots. You need JavaScript enabled to view it >.
PhD Models for Engineering Change
Many engineered products are designed by modification from previous products. Further, designs change frequently through the design process. This PhD will investigate the role that past products and their descriptions, as well as the emerging properties of the current design, play in making engineering changes. The ways that different models of products and processes are used during engineering change processes will be identified through empirical studies. In particular the project will analyse the information that models convey as well as how designers perceive these models and their roles. The research will develop guidelines for effective use of models during engineering change.
An ideal candidate will have a keen interest in design and industrial practice with excellent people skills. A relevant degree at 2(1) or 1 level is essential and an interest in the philosophy and psychology of design would be an advantage.
Deadline: 17/10/2009
Postdoc/Lecturer "Multi-scale and reduction techniques for biofilm modelling" at INRA-INRIA team MERE (Montpellier), France
Keywords: complex systems, mathematical modelling, multi-scale, individualbased models (IBM), homogenisation, simulations, microbial ecology, biofilm.
Objective and context of the research:
The objective of the post-doctorate is to develop and study computational and mathematical models of biofilm* dynamics, taking into account the biodiversity (distribution of bacteria species) and spatial structure. The research will take place within a 3-years project 'DISCO' funded by the French agency on research, that gathers specialists of individual-based-models study and reduction techniques (Cemagref LISC), mathematical analysis of ecosystems modelling (INRIA-INRA MERE), multi-scale modelling of complex structures and dynamics (LPTMC), wastewater engineering and biodiversity measurements through DNA fingerprints (INRA LBE, and solid waste biodegradation and microscopic biofilm structure imaging (Cemagref HBAN). During the project, models will be confronted to experimental data at both micro and macroscopic scales.
(* Biofilms are present in many natural ecosystems and usually include billions of microorganisms, from hundreds or even thousands of species.
Under specific conditions, these bacteria produce an adhesive matrix of complex spatial structures. A biofilm is typically a complex system, in the sense that it is composed of a huge numbers of micro-organisms and the interactions between individuals are driven by both the spatial structure of the biofilm and the biodiversity of species. In modern wastewater treatment plants, biofilms facilitate the management and improve the purification efficiency of the bioreactors.)
Candidate:
The candidate should have a solid background in modelling complex systems (e.g. dynamical systems or statistical physics) as well as strong abilities in computer science.
Supervision: Fabien Campillo (EPI MERE), Guillaume Deffuant (Cemagref LISC), Annick Lesne (LPTMC) et Alain Rapaport (EPI MERE).
Deadline for application: 30/11/09 ,
Applications should be sent to This e-mail address is being protected from spambots. You need JavaScript enabled to view it <mailto: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
| < Prev | Next > |
|---|