Teaching Assistant

Teaching Assistant

Teaching Assistants in the School of Advanced Technology

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
CAN102 Electromagnetism and Electromechanics Jingchen Wang
CAN202 Analogue and Digital Communications I Ye Liu
CAN206 RF Engineering and Applied Electromagnetics Mark Leach
CAN302 Technologies for E-Commerce Ping Zhang
CAN304 Computer Systems Security Jie Zhang
CAN306 Photonics and Optical Communication Systems Ping Zhang
CAN308 Wireless systems Yanyan Wu
CAN310 Signal Processing and Digital Filtering Kaizhe Xu
CAN402 Social Web Programming Wanxin Li
CAN403 Advanced Signal Processing Qing Liu
CAN404 Social Network Analysis Dapeng Dong
CAN406 Multimedia Communications Kyeong Soo Kim
CAN407 Mobile Communications Qian Dong
CAN408 Coding and Cryptography Limin Yu
CAN409 Information Security Wenjun Fan
CPT001 Professional Skills in Computer Science Yu Liu
CPT102 Data Structures Steven Guan
CPT103 Introduction to Databases Haiyang Zhang
CPT104 Operating Systems Concepts Gabriela Mogos
CPT106 C++ Programming and Software Eng. II Xiaohui Zhu
CPT108 Data Structures And Algorithms Ho Pun Lam
CPT202 Software Engineering Group Project Chengtao Ji
CPT204 Advanced OO Programming Yihong Wang
CPT206 Java Programming for Financial Mathematics Thomas Selig
CPT208 Human-Centric Computing Yue Li
CPT210 Microprocessor Systems Jianjun Chen
CPT302 Multi-Agent Systems Erick Purwanto
CPT304 Software Engineering II Soon Phei Tin
CPT306 Principles of Computer Games Design Hai-Ning Liang
CPT402 Software Architectures Wei Wang
CPT404 Technological Project Management Fei Cheng
CPT406 Artificial Intelligence Jun Qi
CPT408 Games Design and Development Nan Xiang
CPT412 Human-Robot Interaction Yushan Pan
CPT413 Information Visualizaiton Lingyun Yu
EEE104 Digital Electronics I Ming Xu
EEE112 Integrated Electronics and Design Chun Zhao
EEE205 Digital Electronics II Xiaoyang Chen
EEE210 Energy Conversion and Power Systems Lurui Fang
EEE213 Power Electronics and Electromechanics Suneel Kommuri
EEE314 Introduction to Optoelectronics and Photonics Sang Lam
EEE332 Micro and Nanomanufacturing Technology Chun Zhao
EEE402 Photovoltaic Energy Technology Guanying Chu
EEE406 Power Electronics and Applications for Renewable Energy Xuchen Wang
INT306 computer auditory systems Shengchen Li
INT102 Algorithmic Foundations and Problem Solving Jia Wang
INT104 Artificial Intelligence Shengchen Li
INT202 Complexity of Algorithms Rui Yang
INT302 Image Processing Qiufeng Wang
INT304 Pattern Recognition in Computer Vision Xi Yang
INT406 Data Mining and Machine Learning Fangyu Wu
MEC104 Experimental, Computer Skills and Sustainability Tianru Zhang
MEC106 Engineering Drawing Yan Yan
MEC108 Introduction to Mechatronics Qinglei Bu
MEC202 Industrial Awareness and Group Project Jie Sun
MEC204 Mechanical Engineering Design Min Chen
MEC206 Dynamic Systems Qinyao Liu
MEC208 Instrumentation and Control System Yuqing Chen
MEC302 Embedded Computer Systems Filbert H. Juwono
MEC304 Optimization Yan Yan
MEC305 Robotic Systems Yuqing Chen
MEC306 Manufacturing Engineering Pengfei Song
MEC309 Professional Practice Xinheng Wang
SAT301 Final Year Project Pengfei Song
SAT005 Introduction to Emerging Technologies Paul Craig

 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 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 module leader directly by end of January, 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 with decisions made within 2 weeks after the interview.