Research Assistant. School of Computing

3 weeks ago


Singapore National University of Singapore Full time
Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We are looking for one full-time Research Assistant to support the research agenda on mobile app economy and patent-citation networks. The research projects are at the intersection of economics and computer science. Specifically, the projects on mobile apps use deep learning-based natural language processing models to extract information and use that information in an econometrics model to obtain strategic and actionable insights for product developers. The projects on patent citation networks use network analysis and econometrics. This is an excellent opportunity for anyone interested in cutting-edge research in applied computer science or economics. The research assistant will work directly with the Principal Investigator and learn about how to handle large volumes of data and code systematically, econometric methods, and how research papers are developed and written.

Qualifications

  • Student Researcher should possess experience in Data Engineering and text analytics using Python or R.
  • Good English written and oral communication skills.
  • Excellent coding skills preferred
  • Good grades in econometrics and programming courses preferred

Application

Interested candidates should apply for this job ASAP with a CV and their academic transcript. Please also include a short bullet point list of reasons for you would be a good candidate (no longer than half-page a page in font size 12). Interviews for the position will be held on a rolling basis until the position is filled.

Only shortlisted candidates will be notified.

Department : Department of Information Systems And Analytics

Employee Referral Eligible: No

Job requisition ID : 22687



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