Applications are invited for teaching assistant (TA) positions in the School of Internet of Things at Xi’an Jiaotong-Liverpool University (XJTLU). The TA positions are open for all qualified interested graduate students (Masters and PhD students) on campus of XJTLU or other graduates in Suzhou. All applications will be considered by the recruiting panel which consists of two or more academic staffs in the Department.

TA duties include:

XJTLU postgraduate research (PGR) students

  • Laboratory demonstration and support for practical work in the classroom
  • Attendance on and support with field courses
  • One-to-one or group tutoring
  • Invigilation of formal examinations and/or class tests
  • Delivery of occasional formal lectures within their area of expertise after having received appropriate training and initial supervision from their supervisor or the respective Module Leader. Such training might be provided by individual departments, the relevant cluster or the Education Development Unit (EDU). Relevant health and safety issues should be covered in this training
  • Marking of formative assignments with appropriate training
  • Marking of summative assessments with appropriate training. PGR students must never act as the sole examiner on any summative assessment; any work that has been marked by a PGR student MUST be included in the sample provided for internal and external moderation.

XJTLU masters students, and graduate students (postgraduate research and masters) from other universities

  • Tutoring or lab demonstration
  • Scheduled office hours for one-to-one tutoring
  • Assistance in marking of formative assignments, reports, quizzes, etc. with appropriate training and guidance. For marking of any assessment that contributes to the final module mark, the Teaching Assistant may only perform mechanical marking tasks as supervised by the Module Examiner, not marking tasks that involve academic judgment.

Skills and Knowledge

  • For IOT002TC Essentials of Advanced Engineering
    Credits: 5
    Delivery Mode: Lectures: 3*7; Seminars 2*7; Labs 3*7; Second Block: Week8-14
    TAs are expected to have background knowledge for Year-1 module such as

    • Engineering/computer system
    • Robotics and manufacturing
    • Programming skills
  • For IOT104TC Introduction to Internet of Things
    Credits: 5
    Delivery Mode: Lectures: 7*5; Seminar 2*1; Labs 2*6; First Block: Week1-6,13
    TAs are expected to have solid background knowledge such as

    • Arduino programming and development
    • Linux system
    • Programming skills
  • For IOT206TC Information Security Technology of IoT
    Credits: 2.5
    Delivery Mode: Lectures 3*5; Seminar 2*1; Labs 3*5; Second Block: W8-12,14
    TAs are expected to have solid background knowledge of security technologies.
  • For IOT207TC Radio Communication Protocols
    Credits: 2.5
    Delivery Mode: Lectures 4*5; Seminar 2*1; Labs 2*6; Second Block: W8-14
    TAs are expected to have solid background knowledge of wireless communication systems.

Pay rate

  • XJTLU PhD students: RMB 60/hour (before tax)
  • XJTLU Master’s students: RMB 50/hour (before tax)
  • PhD and Master’s students from other universities: RMB 50/hour (before tax)

How to apply

Applicants should submit their application to by 29th Jan, 2022.

Applicants are required to provide their CVs and academic transcripts of previous studies.

The interview is expected to be arranged around Feb 15th, 2022 with decisions made within 1 week after the interview

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