Job Description

COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The \'family-like\' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together \xe2\x80\x93 building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities \xe2\x80\x93 all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
DESIGNATION : Research Assistant (1-year), Lee Kong Chian School of Business

RESPONSIBILITIES

• Assist the Pl (Principal Investigator) and co-Pis to oversee all data collection / data cleaning / study-related logistical issue to research projects.
• Recruit and schedule participants for the experiments in Singapore.
• Conduct field study in Singapore.
• Arrange meetings with stakeholders.
• Prepare the experimental stimuli designed by various professors.
• Recruit and train new undergraduate student assistants, supervising undergraduate student assistants.
• Cleaning of datasets, and other miscellaneous duties.
• A big plus is if the RA has prior experience with basic programming (e.g., web-scraping for data from online marketplace) and lab/field-based data collection.
• Will be required to work full-time.

• Bachelor degree (or higher) in related fields, such as Information Systems / Computer Science / Psychology / Marketing / Communications / Economics.
• Interest and understanding of behavioral science (in the management and social sciences);
• Demonstrated experience or training in conducting research in management sciences, economics, and/or social sciences (causal and/or descriptive research);
• Understanding of basics in experimental design;
• Responsible, professional, and detail-oriented;
• Ability to work as part of a team and independently;
• Excellent written communication;
• Fluency in English; Familiarity with basic data analyses/analytics is a plus (not required);
• Familiarity with web-scraping (using any software or tool) is a plus (not required) .