Lecturer – Economics & Applied Statistics

About the role

We are seeking a qualified Economics, Statistics or Econometrics professional with strong data analysis skills in R, Stata or Python and experience working with national statistics data. The role involves teaching assigned courses, developing and reviewing course content, delivering lectures and practical sessions, conducting research, preparing proposals, publishing findings, participating in conferences and consultancies, and mentoring students and staff.

Key responsibilities

• Teach in areas allocated by the Head of Department.
• Design, develop, plan and deliver programmes of study, including new courses.
• Deliver high‑quality lectures and practical sessions.
• Review and update course content regularly.
• Collaborate with academic colleagues on curriculum development and research activities.
• Conduct research, write grant proposals and seek consultancies.
• Present research at national or international conferences and disseminate outputs.
• Mentor and provide career guidance to students and staff.

Required profile

• PhD in Economics, Statistics or Econometrics from a recognised university.
• Master’s degree in Economics, Statistics or Econometrics.
• Minimum three years post‑qualification university teaching or research experience.
• At least twenty‑four publication points, with sixteen from refereed journal articles.
• Proficiency in R, Stata or Python and experience using national statistics data.
• Registration with a relevant professional body.

Required skills

• R
• Stata
• Python