Non-Permanent Faculty in Econometrics, Data Analysis, and Quantitative Methods

IÉSEG School of Management invites applications for Non-Permanent Faculty positions to teach undergraduate-level courses in Econometrics, Data Analysis, and Quantitative Methods (Mathematics, Statistics, Optimization...), within the Quantitative Methods Track, on both Paris and Lille Campuses. About Iéseg School Of Management

• IÉSEG holds the “triple crown” of international accreditations (AACSB, AMBA & EQUIS) and is a member of the “Conférence des Grandes Écoles”.
• IÉSEG is one of the leading French business schools in terms of research. The IÉSEG Research Center is accredited by the French CNRS.
• IÉSEG faculty is highly qualified and diverse with 50 different nationalities represented.
• IÉSEG offers Bachelor, Master and Post-Graduate Degrees as well as Executive Education programs. IÉSEG host more than 7000 students on both campuses Lille and Paris.

More information about IÉSEG School of Management is available online at: http://www.ieseg.fr/en/

Job Qualifications Applicants should either be PhDs in Economics, Econometrics, Data Analysis, and/or Quantitative Methods (Mathematics, Statistics, Optimization...), with experience in a higher education setting.

They are expected to show evidence of teaching skills and/or strong professional experience. The number of teaching hours offered can be compatible with other professional activities.

Applicants should be fluent in English as all courses at IÉSEG are taught in this language. Prior knowledge of French is not required.

Non-Permanent Faculty are expected to:

• Prepare courses, teach and evaluate students, working together under the supervision of a course coordinator
• Help design and develop course materials, including lectures, assignments, and exams
• Provide guidance and support to students to help them achieve their full potential
• Evaluate student performance and provide regular feedback
• Contribute to the development and continuous improvement of the course curriculum