Junior Professorial Chair at INRIA, Rennes
A Junior Professorial Chair will be available at INRIA in Rennes from July 1, 2022 (second semester 2022). Candidates should have skills in mathematics and experience in applications to the field of earth and environmental sciences (simulation, modeling, statistics). The successful candidate will be based in the INRIA center in Rennes, and member of a Mathematics research group and will work in collaboration with dthe department of Geosciences . He/she will participate in the teaching within the Ecole Normale Supérieure of Rennes and in the creation of its new department of "Sciences for the Environment".
The application proccess will be specified in the near future. The conditions of the previous competitions can be consulted at the following address: https://www.inria.fr/fr/chaires-professeur-junior-recrutement-emploi. These positions are offered on a fixed-term contract (CDD) under public law (from 3 to 6 years) as a tenure track position as a Director of Research in Inria. The official description will be communicated in the coming weeks.
For more information please contact: Arnaud Debussche (arnaud.debussche∂ens-rennes.fr) and/or Philippe Steer (philippe.steer∂univ-rennes1.fr)
Lecturer or Associate Professor in Applied Statistics, Leeds, UK
We invite applications from outstanding individuals in the areas of Statistics, Applied Probability and Data Science/Analytics to join us in the Department of Statistics, University of Leeds, UK. We encourage applicants of different genders and ethnicity.
We are seeking a talented researcher to join our School of Mathematics. This unique role is part of a strategic investment by the University in the areas of statistics and data science. Further, specifically this post builds on the existing Met Office Academic Partnership (MOAP) at Leeds, led from the School of Earth and Environment, to provide new links between the Met Office and the School of Mathematics. This is an excellent opportunity to deliver high impact real world scientific research that will enhance the Met Office’s capability, improve the quality of their products and predictions and improve advice to all Met Office customers. You will have an excellent research record with the ability to collaborate effectively in a multidisciplinary setting, an aspiration to obtain external research funding and a passion for delivering first-class inspirational teaching and supervision within a research-intensive university.
We are happy to discuss the post informally. To explore the post further, or for any queries, please contact:
Robert Aykroyd, Head of Statistics, Department of Statistics
Kurt Langfeld, Head of School, School of Mathematics
(For enquiries focused on the Met Office Academic Partnership at Leeds contact John Marsham, J.Marsham∂leeds.ac.uk)
We are looking forward to receiving your application.