Research Engineer (Programmer for Adaptive Learning)

25 Sep 2023
End of advertisement period
25 Oct 2023
Contract Type
Fixed Term
Full Time

Job Description

The successful candidates will contribute to research activities related to evaluation and development of an online adaptive learning system for teaching project management skills to construction professionals. The candidates shall work under the supervision of the Principal Investigator (PI) to conduct programming, academic research and administrative work. Specific job activities may include:

  • Conduct literature review on topics related to the project;
  • Develop the following functions of the adaptive learning system:
  • Knowledge unit map
  • Knowledge unit recommender
  • Instructor dashboard
  • Adaptive quiz
  • Forum recommender
  • Liaise with collaborators and users on testing, meetings and data collections;
  • Write research papers, reports and proposals;
  • And any other tasks required by the principal investigator.

Job Requirements

  • A Bachelor’s degree within the fields of computer science, software engineering, or related field
  • Experience in any of the general purpose programming languages, such as Java, Go, C++, C#, python. Preferably python;
  • Experience in web development framework like Flask or Django;
  • Familiar with SQL;
  • Experience in designing and building REST APIs;
  • Knowledge of HTML, CSS and Javascript;
  • Willing to learn, independent, team player, professional, proactive, communicative, and responsible; and
  • Strong English writing and communication skills.

Candidates with the following will be preferred (not compulsory):

  • Familiar with at least one of the deep learning frameworks like Tensorflow / PyTorch.
  • Understanding of NLP.
  • Good understanding of graph data structure  

(* Interested applicants, please indicate current and expected salary in your job application/ CV.)

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : The Built Environment
Employee Referral Eligible: No
Job requisition ID : 19875

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