JOB VACANCY

Care for teaching activities: • Designing and delivering courses (in English and in French) in statistics, econometrics, data analysis, quantitative modeling and analytical tools; • Supervising tutorials and case studies related to the application of quantitative methods to decision-making and economic or managerial analysis; • Supervision of student projects and final theses on quantitative issues; • Contributing to the digitization of teaching materials (online courses, interactive exercises, case studies, statistical simulation and modeling tools, etc.); • Participating in evaluation juries (final exams, defenses, project-based approaches, etc.); • Developing pedagogical cases contextualized to the economic, social and technological realities of Africa and the Mediterranean basin; • Collaborating in the definition of curricular frameworks; • Organizing seminars, conferences and meetings with experts in statistics, data science and quantitative analysis applied to management sciences; • Active participation in academic life and the institution's pedagogical meetings; • Individual and group monitoring of students in their academic and professional progress and in their orientation toward professions related to quantitative methods.

Research work: • Scientific production in indexed academic journals (Scopus, WoS, FNEGE, etc.); • Presentation of work at national and international academic conferences and congresses; • Supervision of doctoral theses and participation in scientific committees • Submission of funded projects (national or international) related to current challenges in quantitative analysis, big data and the digitization of analytical methods; • Development of research partnerships with academic institutions, companies and public organizations specialized in data analysis and quantitative methods.

• Holder of a PhD in Management Sciences with a specialization in quantitative methods, applied statistics, econometrics, data science or a related field.

• Technical skills:

• Mastery of concepts and tools in statistics, econometrics, data analysis, quantitative modeling and data science;
• Ability to use specialized software (R, Python, advanced Excel, SAS, SPSS, Stata, etc.);
• Expertise in emerging trends: big data, artificial intelligence applied to quantitative analysis, machine learning, advanced data visualization and digitization of analytical tools.

• Cross-cutting skills:

• Fluency in English, essential for teaching, research and international collaborations;
• Ability to lead pedagogical projects or collaborative research projects;
• Ability to initiate and coordinate academic and professional partnerships;
• Good written and oral communication skills in French;
• Ability to adapt, pedagogical innovation and autonomy;
• Commitment to institutional life, service orientation and team spirit.