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Nanyang Technological University

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Pre-Doctoral Research Assistant / Research Associate in Business and Management Research Nanyang Technological University in Singapore

Degree Level

not provided

Field of study

Statistical Analysis

Funding

Available

Country flag

Country

Singapore

University

Nanyang Technological University

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Keywords

Statistical Analysis
Business
Quantitative Analysis
Management
Statistics
Research Method

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About this position

Nanyang Technological University (NTU) in Singapore is hiring a Pre-Doctoral Research Assistant / Research Associate for the Nanyang Business School. The role supports faculty-led projects across business and management disciplines and is well suited to candidates considering future doctoral study.

Responsibilities include literature reviews, synthesis of academic findings, dataset collection and cleaning, quantitative and qualitative analysis, survey and experimental research, fieldwork, research documentation, ethics applications, and preparation of reports, working papers, manuscripts, conference presentations, and grant proposals. The researcher will collaborate with faculty members, doctoral students, and research teams and participate in seminars and scholarly activities.

Applicants need a Bachelor's or Master's degree in any discipline, a strong interest in academic research, and strong quantitative and analytical abilities. Experience with R, Python, Stata, SQL, or equivalent tools is preferred. Excellent communication, organisation, attention to detail, independence, teamwork, motivation, and intellectual curiosity are also expected.

The full-time position is based at NTU Main Campus in Singapore. No salary, stipend, tuition support, or other funding details are provided in the post. Interested applicants should apply through the NTU Workday careers portal; only shortlisted candidates will be contacted.

Funding details

Available

What's required

Applicants must hold a Bachelor's or Master's degree in any discipline. Candidates should have a strong interest in academic research and research-oriented careers, strong quantitative and analytical skills, and preferably proficiency in R, Python, Stata, SQL, or equivalent tools. Excellent written and verbal communication skills, strong organisational skills, attention to detail, independence, collaboration, self-motivation, intellectual curiosity, and commitment to continuous learning are required.

How to apply

Apply through the NTU Workday job portal using the direct application link. Only shortlisted candidates will be notified.

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