Ricevo e inoltro

________________________________ From: Gilles STUPFLER gilles.stupfler@gmail.com Sent: Sunday, January 23, 2022 16:07 To: Simone Padoan simone.padoan@unibocconi.it Subject: Job: ENSAI (Rennes, France) - Position in Computer Science and Machine Learning

ENSAI, the French graduate-level engineering school specialized in Statistics, Data Science and Economics, is currently inviting applications for a position as Associate or Assistant Professor in Computer Science and Machine Learning. The appointment starts in September, 2022, at the earliest. At the level of Assistant Professor, the position is for an initial three-year term renewable for another three years before the tenure evaluation. At the level of Associate Professor, the position is tenured. Salary is competitive according to qualifications. The teaching duties are reduced compared to French university standards. At the appointment, knowledge of French is not required but it is expected that the appointee will acquire a workable knowledge of French in a reasonable time. The school offers resources to learn French.

Candidate Profile: PhD in Computer Science with an expertise in Machine Learning. ENSAI is involved in the EUR Digisporthttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdigisport.univ-rennes.fr%2F&data=04%7C01%7Csimone.padoan%40unibocconi.it%7C4064e21f05b24c01922f08d9de82096b%7C6bf3b57a9fb447c29ada51156518f52f%7C1%7C0%7C637785472350016672%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=vTD6nylj5c4YwOYsOQnHLvlLWdtJFHsg9jmT%2F%2BmhVnE%3D&reserved=0 and the EUR CyberSchoolhttps://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcyberschool.univ-rennes.fr%2Fen%2F&data=04%7C01%7Csimone.padoan%40unibocconi.it%7C4064e21f05b24c01922f08d9de82096b%7C6bf3b57a9fb447c29ada51156518f52f%7C1%7C0%7C637785472350016672%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=wCfKjir0cZRFKK0udynqMX0u6a7Esnm5kE3RA%2Bi77RU%3D&reserved=0, so knowledge on related fields would be a plus. Applicants will have demonstrated strong ability to teach courses and supervise projects in Computer Science, up to Master level, to students with a major in Statistics. At the Associate Professor level, the candidate will have an outstanding research record and is expected to supervise PhD students.

Applications (in French or in English) should be submitted by email to recruitment@ensai.frmailto:recruitment@ensai.fr until April 19, 2022, with reference ENSAI/2022/CS1 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:

* Romaric Gaudel, Head of Computer Science dept. (romaric.gaudel@ensai.frmailto:romaric.gaudel@ensai.fr; Tel. +33(0)299053330)

* Valentin Patilea, Head of Research (valentin.patilea@ensai.frmailto:valentin.patilea@ensai.fr; Tel. +33(0)299053325)

* Stéphane Legleye, Head of graduate studies (stephane.legleye@ensai.frmailto:stephane.legleye@ensai.fr; Tel. +33(0)299053322)

Additional Information

ENSAI (the French National School for Statistics and Data Analysis – Ecole Nationale de la Statistique et de l'Analyse de l'Information – www.ensai.frhttps://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ensai.fr%2F&data=04%7C01%7Csimone.padoan%40unibocconi.it%7C4064e21f05b24c01922f08d9de82096b%7C6bf3b57a9fb447c29ada51156518f52f%7C1%7C0%7C637785472350016672%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=P2X9eiQyBCUyhn4OB1nKXIJCnR2CiXjWuK4PMAqERO8%3D&reserved=0) is a “Grande École”, which offers high level education in Statistics, Economics and Data Science. ENSAI offers several Master-level specializations as well as a PhD program in Statistics.

ENSAI, together with ENSAE and Ecole Polytechnique in Paris region, share the research laboratory « Centre de Recherche en Economie et Statistique » (CREST – www.crest.frhttps://eur03.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.crest.fr%2F&data=04%7C01%7Csimone.padoan%40unibocconi.it%7C4064e21f05b24c01922f08d9de82096b%7C6bf3b57a9fb447c29ada51156518f52f%7C1%7C0%7C637785472350173358%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=qqaA4FxGmP0htFS2oNmRQDnVQ1qxWEUVpqzLRdi3MtU%3D&reserved=0 – UMR CNRS 9194). The research activity of CREST at Ensai covers topics in Statistics, Economics and Data Science, in both theoretical and applied aspects.

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