Post-Doc “Statistical thermodynamics modeling of liquid and solid phase speciation”

Post-Doc “Statistical thermodynamics modeling of liquid and solid phase speciation”

The ICB Laboratory (UMR 6303 CNRS) at Bourgogne Franche-Comté University (Dijon, France) has an immediate postdoctoral opening in the INTERFACES Department. The postdoctoral researcher will work on Statistical thermodynamic modeling of liquid and solid phase speciation. The aim of the project is to propose a new generation of geochemical modeling software based on the primitive model (explicit solute and solid species) in replacement of the commonly used mean field approach (i.e. Pitzer, Debye-Huckel theory, Poisson-Boltzmann). Emphases include developing algorithms/software and interfacing the modeling with experimental data to improve prediction of liquid and solid phase speciation.

The INTERFACES Dpt consists of several staff scientists and about twenty postdoctoral researchers and graduate students working closely together. We are also involved in extensive collaborations with various experimental and groups in France (Polytechnique Paris, ESPCI), Switzerland (EPFL, EMPA and Bern University) and (Göteborg and Lund University). Postdoctoral appointments are on a one-year basis, with a maximum term of three years, subject to available funding and performance evaluation.

Excellent computational/programming and analytical skills are required. Ability to work independently and in an interdisciplinary collaborative environment is expected. Experience in Monte-Carlo simulation is a plus. A PhD in computational physics, , , science, , or a related field is required.

Interested candidates should apply by emailing the following to Dr. Christophe Labbez (
1. A detailed curriculum vitae including a list of publications and the names and email addresses of three professional references.
2. A cover letter, including
a. description of software development experience (language used, type of software etc…);
b. description of statistical thermodynamic modeling experience (simulation techniques, system studied, key contributions);
c. expected start date;
3. One representative publication that best showcases your work.

This post is not valid after Sunday October 15th, 2017

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