Assistant Professor in Quantitative Marketing
Join Nazarbayev University’s Graduate School of Business as an Assistant Professor in Quantitative Marketing, specializing in empirical modeling, digital marketing, or marketing analytics.
Best for:Best for established researchers with a PhD in Marketing, Economics, or a related field, a strong publication record, and expertise in quantitative methods, digital marketing, or marketing analytics.
Overview
Nazarbayev University’s Graduate School of Business (GSB) invites applications for a full-time Assistant Professor position focused on quantitative marketing. This role emphasizes empirical or analytical modeling, digital marketing, and marketing analytics, with a strong emphasis on research excellence and teaching at both undergraduate and graduate levels. The successful candidate will contribute to a research-intensive environment, benefit from generous internal grants, and teach courses such as Digital Marketing, Marketing Analytics, and Data Analytics. Located in Astana, Kazakhstan, the university offers a competitive salary, comprehensive benefits, and an internationally diverse faculty community.
What you'll do
- Conduct cutting-edge research in quantitative marketing, including empirical or analytical modeling, digital marketing, and marketing analytics.
- Publish research in leading journals such as those ranked UTD-24, FT-50, or ABS 4*/4.
- Develop and maintain a strong research pipeline to ensure continuous academic contributions.
- Teach undergraduate and graduate courses in Digital Marketing, Marketing Analytics, Data Analytics, or related subjects.
- Engage in mentoring and supervising students at both graduate and undergraduate levels.
- Collaborate with colleagues to enhance the research and teaching environment at NUGSB.
- Participate in university-wide initiatives and contribute to the school’s research-intensive mission.
Requirements
Degree required: PhD in Marketing, Economics, or a related field, completed by the start date (August 2027).
Language: English; proficiency required for instruction and workplace communication.
Instruction: English
Publications: Strong publication record or publication potential in leading journals (e.g., UTD-24, FT-50, ABS 4*/4).
- Strong publication record or publication potential in leading academic journals (e.g., UTD-24, FT-50, ABS 4*/4).
- Expertise in quantitative marketing research methods, including empirical or analytical modeling.
- Experience in digital marketing or marketing analytics.
- Proven ability to develop and maintain a robust research pipeline.
- Commitment to high-quality teaching at both undergraduate and graduate levels.
- No explicit nationality or residency restrictions mentioned.
- Must hold a PhD by the start date (August 2027).
- No age or prior experience caps specified.
Funding & terms
How to apply
Deadline: 2026-10-15 · open until filled
Apply through the NUGSB Application Portal (requires a Google account) or email your application to hr_gsb@nu.edu.kz with the subject line 'QM — [Your Name]'. Applications must include a cover letter, CV, job market paper, research statement, and teaching statement. Teaching evaluations, if available, are also requested. Three reference letters will be requested from short-listed candidates.
- Cover letter
- CV
- Job market paper
- Research statement
- Teaching statement
- Teaching evaluations (if available)
- Three reference letters (requested from short-listed candidates)
Contact
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