Post doc position in Evolutionary Quantitative Genetics

Job description:
The general goal of the research is to predict evolutionary changes of trees, particularly European white oaks, to environmental changes using diachronic approaches. These predictions will be based on observations conducted in situ in age structured cohorts of different ages (from 360 to 5 years), and in common garden experiments. Populations that have experienced the little ice age (360 years ago) will be compared with more recent and modern populations. A major goal of the project will be to estimate components of evolutionary change (selection gradients, heritability, elements of the G matrix), by analyzing existing genomic, genetic and phenotypic data in wild populations.

Scientific environment:
The post doc position is part of the ERC project Treepeace ( The working location will be at the BIOGECO research unit (20 km south-west of Bordeaux, France: BIOGECO is a joint research unit between INRA and the University of Bordeaux and has long standing experience in studying evolution of forest trees by assembling contributions of different disciplines (ecology, genetics, genomics and evolution).

Expected profile:
We seek for a scientist with a PhD degree and experience in the field of evolutionary quantitative genetics and/or proficiency in statistical modeling. Knowledge of tree ecology and practice of computer programming will be helpful. Candidates should be fluent in English.

Application with CV, a brief statement of research interests, contact information for two professional references and publication list should be submitted in an electronic form to Dr. Antoine Kremer ([email protected]). Review of applications will begin on August 1st 2016 and continue until the position is filled. Do not hesitate to contact us for further details or questions. The position is open for 2 years.

Examples of publications:
Alberto F., J.Derory J, et al. (2013). “Imprints of natural selection along environmental gradients in phenology-related genes of Quercus petraea”. Genetics 195, 495–512.

Kremer, A., B. M. Potts, et al. (2014). « Genetic divergence in forest trees: understanding the consequences of climate change. » Functional Ecology 28(1): 22-36.

Kremer, A., O. Ronce, et al. (2012). « Long-distance gene flow and adaptation of forest trees to rapid climate change. » Ecology Letters 15(4): 378-392.

Soularue, J. P. and A. Kremer (2014). « Evolutionary responses of tree phenology to the combined effects of assortative mating, gene flow and divergent selection. » Heredity 113(6): 485-494.

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Pout toute autre question, vous pouvez contacter [email protected].