Applications are invited for teaching assistant (TA) positions in the School of Advanced Technology 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 Master’s students, XJTLUPhD students, and postgraduate (Master’s and PhD) students from other universities

  • Laboratory demonstration and support for practical work in the classroom
  • Attendance on and support with field courses
  • Group tutoring
  • Scheduled office hours for one-to-one tutoring
  • Invigilation of formal examinations and/or class tests
  • Marking of formative assignments with appropriate training
  • Other appropriate activities as determined by academic units

At the discretion of relevant academic units, XJTLU PhD students may be permitted to undertake the following additional responsibilities with appropriate training and guidance:

  • Delivery of occasional formal lectures and/or seminars 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 academic units, or the Education Development Unit (EDU). Relevant health and safety issues should be covered in this training.
  • Assistance in marking of summative assessments with appropriate training and under the supervision of the module leader, subject to prior approval from the Head of the academic unit delivering the module. However, they must never act as the sole examiner on any summative assessment. All assessment tasks marked by XJTLU PhD students must be moderated, and they are not permitted to act as moderators.

Modules include

Module Code Module Title
CAN201 Introduction to Networking
CAN207 Continuous and Discrete Time Signals and Systems
CAN209 Advanced Electrical Circuits and Electromagnetics
CAN301 Mobile Computing
CAN303 Analogue and Digital Communications II
CAN305 Antennas
CAN307 Radio Propagation and Microwave Circuits
CAN309 Information Theory and Data Communications
CAN401 Cloud Computing
CAN405 Data Communication and Communication Networks
CPT101 Computer Systems
CPT103 Introduction to Databases
CPT105 Introduction to Programming in Java
CPT107 Discrete Mathematics and Statistics
CPT109 C Programming and Software Engineering I
CPT111 Java Programming
CPT201 Database Development and Design
CPT203 Software Engineering I
CPT205 Computer Graphics
CPT301 Formal Methods
CPT401 Research Methods
CPT403 Object Oriented Programming
CPT409 Research Project Management
CPT405 Interactive Systems
CPT407 Databases and Data Management
CPT411 Evaluation Methods and Statistics
EEE103 Electrical Circuits I
EEE109 Electronic Circuits
EEE201 CMOS Digital Integrated Circuits
EEE211 Electronic Circuits and Systems
EEE301 Electronics for Communications
EEE309 Electronics for Instrumentation
EEE335 Drives, and Power Generation, Transmission and Relaying
EEE337 Integrated Circuits Concepts and Design
EEE339 Digital System Design with HDL
EEE401 Sustainable Energy and Environment
EEE403 Power System Network and Smart Grid
EEE405 Nuclear Energy Technology
EEE421 Integration of Energy Strategies in the Design of Buildings
INT201 Decision Computation and Language
INT301 Bio-Computation
INT303 Big Data Analytics
INT305 Machine Learning
INT307 Multimedia Security Systems
INT309 Multimedia Information Retrieval and Technology
INT401 Fundamentals of Machine Learning
INT402 Data Mining and Big Data Analytics
INT404 Image and Video Processing
INT408 Deep Learning in Computer Vision
INT410 Advanced Pattern Recognition
INT411 Reinforcement Learning
INT403 Spoken Language Processing
MEC301 Digital Control and Automatic Control
MEC303 Industrial Automation and Robot Control
MEC307 Mechatronic Systems Development
SAT301 Final Year Project
SAT006 Foundations of Computer Science and Engineering
SAT406 MSc Dissertation Project

Skills and Knowledge

  • Proficient spoken and written English
  • Excellent communication and interpersonal skills
  • Excellent presentations skills, and skillful in Microsoft Office Software (Word, Excel, PowerPoint, etc.)
  • Excellent organizational skills and attention to detail
  • Be adaptable and open to change
  • Previous TA working experience preferred

The pay rate for Academic Year 2023-24

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

How to apply

Applicants should submit their application to by August 15, 2023.

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

For XJTLU students, please apply for TA positions through the Teaching Assistant Management System(TAMS) directly.

The interview is expected to be arranged around end of August with decisions made within 2 weeks after the interview.

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