About mOeX: Cultural evolution is the application of evolution theory to culture. It is now widely acknowledged in social sciences and the humanities. mOeX adopts a computational approach to the study of the cultural evolution of knowledge, determining, in silico, properties of knowledge that artificial agents may obtain. Our ambition is to understand and develop general mechanisms by which a society evolves its knowledge. For that purpose, we combine knowledge representation and experimental cultural evolution methods. The former provides formal models of knowledge; the latter provides a well-defined framework for studying situated evolution. We consider societies of agents representing their knowledge and adapting it when interacting with each other. We study the global properties of local adaptation operators both
We are looking for young talented researchers and welcoming two types of profiles.
For both types, the perspective is to build one own research agenda in connection to that of mOeX. Of course, especially for the second type, the goal is to stay connected to your field of origin and still publish in it.
Every year, INRIA and CNRS, offer open, tenured, research positions to junior researchers a few years after PhD (typically 2 to 3 years). There are also indefinite time research-teaching positions at INRIA in association with universities. mOeX is eligible to such positions. If you think that you could contribute to the work, do not hesitate to contact us, now. Indeed, formal applications is usually due beginning of the year (2023: February 27th for INRIA, January 5th for CNRS), but it is better if they are planned quite ahead of time.
Such positions are usually free of teaching duties, although there also are opportunities for teaching.
If you do not feel ready to make the plunge...
There is also the opportunity to apply for non permanent, post-doctoral position with us. This can happen in with the Marie Skłodowska-Curie postdoctoral fellowships or specific INRIA post-doc calls.
about mOeX | about INRIA | about CNRS