Teaching Assistant

Teaching Assistant

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, XJTLU PhD 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 Module Leader
CAN201 Introduction to Networking Wenjun Fan
CAN207 Continuous and Discrete Time Signals and Systems Qing Liu
CAN209 Advanced Electrical Circuits and Electromagnetics Zhenzhen Jiang
CAN301 Mobile Computing Wanxin Li
CAN307 Radio Propagation and Microwave Circuits Jingchen Wang
CAN401 Cloud Computing Dongyao Jia
CAN409 Information Security Wenjun Fan
CPT101 Computer Systems Steven Guan
CPT103 Introduction to Databases Jianjun Chen
CPT105 Introduction to Programming in Java Yushan Pan
CPT107 Discrete Mathematics and Statistics Ka Lok Man
CPT111 Java Programming Teng Ma
CPT201 Database Development and Design Wei Wang
CPT203 Software Engineering I Nanlin Jin
CPT205 Computer Graphics Yong Yue
CPT403 Object Oriented Programming Thomas Selig
CPT409 Research Project Management Qinyao Liu
CPT405 Interactive Systems Lingyun Yu
CPT407 Databases and Data Management Kok Hoe Wong
CPT411 Evaluation Methods and Statistics Yue Li
EEE103 Electrical Circuits I Chee Shen Lim
EEE201 CMOS Digital Integrated Circuits Sang Lam
EEE211 Electronic Circuits and Systems Suneel Kommuri
EEE307 Electronics for Communications Sang Lam
EEE309 Electronics for Instrumentation Yuxiao Fang
EEE337 Integrated Circuits Concepts and Design Miao Cui
EEE339 Digital System Design with HDL Ming Xu
EEE401 Sustainable Energy and Environment Huiqing Wen
EEE421 Integration of Energy Strategies in the Design of Buildings Lurui Fang
EEE407 Advanced Semiconductor Materials and Devices for Efficient Power Conversion Wen Liu
INT301 Bio-Computation Rui Yang
INT303 Big Data Analytics Jia Wang
INT307 Multimedia Security Systems Sichen Liu
INT402 Data Mining and Big Data Analytics Yin Cao
INT403 Spoken Language Processing Yin Cao
INT404 Image and Video Processing Qiufeng Wang
INT410 Advanced Pattern Recognition Xi Yang
INT4xx Natural Language Processing Chunchuan Lyu
MEC301 Digital Control and Automatic Control Tianru Zhang
MEC303 Industrial Automation and Robot Control Fanxin Wang
MEC307 Mechatronic Systems Development Quan Zhang
SAT006 Foundations of Computer Science and Engineering Jie Sun

 

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 2024-25

  • 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 sat@xjtlu.edu.cn or contact the module leader by August 31,2024.

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) https://ta.xjtlu.edu.cn directly.

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