Research position in Wood Science

Post-doctoral researcher in Wood Science at LERMAB, University of Lorraine

LERMAB, an academic research laboratory from University of Lorraine working in the field of wood Sciences, is seeking PostDoc researcher to work on variability of tannins present in bark of industrial softwood species exploited in France. The research will focus on the effect of different parameters like forest management and age on the longitudinal within tree variability of the chemical composition and quantities of tannins present in bark. Indeed, data concerning amount, structure, polymerization degree and distribution of tannins in bark is of great interest to expect industrial valorisation development of such chemicals. Previous experience in chromatographic analysis methods and in chemistry of natural products will be appreciated. The research activities will be carried out in LERMAB in collaboration with SILVA laboratory working in the fields of Forest Ecology, Forestry and Wood Quality in charge of wood sampling within the framework of BARKTANBIO. This project is financed by the Laboratory of Excellence ARBRE (Advanced Research on the Biology of Tree and Forest Ecosystems). The candidate should present strong interpersonal and communication skills, self-motivation and ability to work as part of a team.

The deadline to apply is 1st April 2018.

The position is available for one year with possibility of extension.

Location of the position : LERMAB, Faculté des Sciences et Technologies, Boulevard des Aiguillettes, 54506 Vandoeuvre-lès-Nancy

For any further information, contact: Philippe GERARDIN (philippe.gerardin@univ-lorraine.fr) and Stéphane DUMARCAY (stephane.dumarcay@univ-lorraine.fr)

Requirements :

  • Doctoral degree in chemistry, wood sciences, forestry, or equivalent.
  • Knowledge in chemistry and natural products
  • Knowledge in chemical and analytical methods for extraction and characterisation of biomolecules
  • Practical experience in analytical chromatographic methods (GC-MS, UHPLC-MS-MS, SEC, Py-GC-MS…)
  • Proficiency in English (mandatory)
  • Experience working in biostatistics