Research Associate/fellow, School of Accountancy

1 week ago

Singapore Singapore Management University Full time

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 - 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 - 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 Associate/Fellow (1-year contract), School of Accountancy

RESPONSIBILITIES
- Assist with data collection and algorithm development (e.g., natural language processing)
- Collect data from resources of various languages. Data collection will include implementing automated downloading from public sources, such as social media
- Analyze data - use computational linguistic and machine-learning techniques to construct measurement from text/script
- Conduct literature reviews in areas of Fintech, social media and business
- Responsible for data analysis and statistical analysis of the research studies
- Compile information and write research reports
- assist to prepare manuscripts for publication in targeted journals
- Any other research-related work assigned

QUALIFICATIONS
- PhD or Master degree in Computer Science, Information System or related fields (computing/programming), Undergraduate of Master degree and research experience in Accounting/Finance/Economics/Statistics is a plus
- Strong knowledge of computer science foundations and fundamental / information studies
- Knowledge in programming languages, knows how to work with operating systems and how to maintain databases, especially in Big Data Management
- Strong research background
- Competency in the use of statistics and econometrics in research
- Ability in using and/or programming using statistical software (e.g. SAS, Stata, R, Python)
- Well-organized and able to clearly summarize and present information and data obtained
- Excellent oral, interpersonal and written communication skills
- Keen interest in accounting literature, keeps up to date with relevant research publications
- Knowledge in accounting or training in accounting/finance research is a plus
- Experience in co-ordinating research grant projects are also valuable

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