Research Associate and Faculty

Job Location: Dhaka

Date Posted: 15th November, 2022

Since its inception in 2004, BRAC Institute of Educational Development (BRAC IED) has been an active advocate and proponent of contributing to the development of education from a holistic perspective through professional development, capacity building, skills development, training and research. The Institute aims to tap into emerging areas of development by exploring areas including early years’ learning & early childhood development, play-based learning methodology, psychosocial wellbeing of stakeholders from diverse socio-economic backgrounds, adolescent mental health, Primary and Secondary education and curriculum & textbook design.

BRAC IED is looking for full-time Research Associate and Faculty for the Academic Team of the Institution.


Major job Responsibilities:

  • Planning and facilitating the Academic courses, orientations, and workshops offered by the Institute.
  • Planning, arranging and facilitating capacity development workshops for the Academic Team of BRAC IED.
  • Planning, organizing and conducting sessions by delivering enriched contents to the professionals.
  • Actively take part in day-to-day planning, managing and coordination of Academic activities.
  • Providing administrative support as needed and any other responsibilities assigned.
  • Ability to teach quantitative methods.

Basic Requirements:

  • Masters degree preferably in Education/Pedagogy/Teaching and Learning/Statistics from any recognized University with CGPA 3.50 and above.
  • At least 2 to 3 years of experience in the field of research writing or academia.
  • Excellent skills and experience in quantitative research methods.
  • Excellent written and verbal communications skills in English.
  • Excellent communication and team building skills that can establish and maintain strong working relationships inside and outside of the organization.
  • Ability to teach quantitative methods.

Additional Requirements:

  • Must have good technological competency
  • Must have good statistical skill (proficiency in statistical software like STATA/SPSS)
  • Experience on large scale data related work will be given preference
  • Strong background in education and research will be given preference

Interested candidates are advised to email their updated CV to 

Application Deadline: 21st November 2022.

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