Postdoc position
Models of evolution, development, gene networks and morphometrics
1.Basic job and project description:
2 years postdoc position in the Autonomous University of Barcelona (UAB).
Topic: Mathematical modeling of evolution in complex adaptive landscapes. This implies modeling of gene network dynamics, development and population genetics.
This position is ideal for those biologists with an interest in theory and in the evolution of complex phenotypes. This includes also students interested in evo-devo, quantitative genetics, population genetics and development.
-The research will be in any of these three related lines:
2.1. Models to predict evolution.
The networks determining possible phenotypic variation are complex. However, by understanding some of its dynamics, we can understand which phenotypic variation they can produce. For example, by computational models of gene networks during embryonic development we have obtained an understanding of the directions of variation most likely to occur in specific phenotypes (mammalian teeth, see Salazar-Ciudad and Jernvall, 2010). In a way these models describe the space of phenotypes within which a population would evolve over time. If information about natural selection is available, then these models can be used to predict how phenotypes evolve. This is literally a prediction on how traits in a phenotype (e.g. a wing shape) will change over generations. Our research consist in building such prediction approach in general and applying it to specific cases of evolution. By specific cases of evolution we mean actual experimental evolution. We are doing artificial selection experiments in which we select flies based on specific aspects of their wing morphology. We also have a computational model of wing development and we are adapting it into an evolutionary model with which we try to predict how wing morphology evolved in these experiment.
2.2 Evolutionary theory under complex genotype-phenotype maps.
Most of evolutionary theory was developed at a time where not much was know about gene networks, development or the genotype-phenotype map. As a result, its main mathematical models and concepts are based on the assumption that this l atter map is simple or by ignoring it all together. The aim in here is to build general models of development that realistically consider that these maps can be complex, the underlying gene networks and development. These models will then be used to explore how, or whether, many of the ideas and conclusion of current evolutionary theory change. These models will also be used to address questions that current evolutionary theory cannot explain, does not aim to explain or that, simply, could be explained better by considering gene networks and development, such as: the evolution of development and gene networks, the direction of evolution in the short and long term, how evolution in complex adaptive landscapes is possible, how complex phenotypes can evolve, etc.
2.3 Any other question of the applicants interest that is related to the previous questions.
3. Requirements:
-A PhD in Evolutionary biology, Development or related topics.
-Scientific programming skills or a willingness to acquire them is required.
-A strong interest and motivation on science and evolution. A capacity for creative and critical thinking is also required.
4. The application must include:
-Application letter including a statement of interests and motivation.
-CV including degrees obtained, grades obtained (for the bachelor and masters), average grade, publications.
-The PhD thesis and its grade.
-Applications should be sent to Isaac Salazar-Ciudad by email: isaac.salazar@uab.cat