ENSAI, the French graduate-level engineering school specialized in Statistics, Data Science and Economics, is currently inviting applications for a position in Statistics, all levels. ENSAI is interested in candidates with a Ph.D. in Statistics (or related fields). Candidates with several years of experience after the PhD are particularly encouraged to apply. Applicants will have a demonstrated ability to teach Master level courses in Applied Mathematics and Statistics for the engineers and to supervise projects in Applied Statistics. At the associate/full professor level will have an outstanding research record and will be able to supervise PhD students, or, at the assistant level, will show the ability to achieve these qualifications. An active participation in the «Centre de Recherche en Economie et Statistique» (CREST – crest.science) research lab is expected.
The appointment can begin as soon as September, 2019. Tenure can be granted at the time of the appointment or shortly after, according to qualifications. Assistant professors will normally receive a contract for three years renewable for another three years before the tenure evaluation. Salary is competitive according to qualifications. The teaching service is reduced compared to French universities standards. At the appointment fluency in French is not required for teaching; however it is expected that the appointee will make an effort to acquire a workable knowledge of French, and to be able to teach some courses in French, in a reasonable time. The school offers resources to learn French.
Applications (in French or in English) should be submitted by email to Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo. until April 22, 2019, with reference ENSAI/2019/ST1 as subject. Documents to include:
-- Curriculum vitae;
-- A statement of research and teaching interests (2-4 pages);
-- Names and addresses of three or more individuals willing to provide letters of reference.
Contact persons:
-- Valentin Patilea (Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.; +33(0) 299053325)
-- Lionel Truquet (Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.; +33(0) 299053276)
Additional Information
As a member of the «Group of the National Schools of Economics and Statistics» (GENES – www.groupe-genes.fr), ENSAI (the French National School for Statistics and Data Analysis – Ecole Nationale de la Statistique et de l'Analyse de l'Information – www.ensai.fr) is a Grande Ecole, which offers high level education in Statistics, Economics and Data Science. Historically associated with INSEE (French National Institute of Statistics and Economic Studies), Ensai offers several Master-level specializations including Mathematical Statistics, Advanced Statistical Engineering, Big-Data, Biostatistics, Quantitative Marketing and Revenue Management, Risk Management and Financial Engineering, and Health Economics. Ensai also created an International MSc 'Statistics for Smart Data' and offers a PhD program in Applied Mathematics, Statistics.
ENSAI, together with ENSAE and Ecole Polytechnique in Paris region, share the research laboratory «Centre de Recherche en Economie et Statistique» (CREST). The research activity of CREST at Ensai covers topics in Statistics, Economics and Data Science, in both theoretical and applied aspects.
