• 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 Lifan Mei
    CAN206 RF Engineering and Applied Electromagnetics Mark Leach
    CAN210 Digital Signal Processing Yuanjian Li
    CAN302 Technologies for E-Commerce Along Jin
    CAN304 Computer Systems Security Jie Zhang
    CAN306 Photonics and Optical Communication Systems Ping Zhang
    CAN308 Wireless systems Kaizhe Xu
    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 Along Jin
    CAN408 Coding and Cryptography Limin Yu
    CAN409 Information Security Wanxin Li
    CPT001 Professional Skills in Computer Science Yu Liu
    CPT102 Data Structures Thomas Selig
    CPT103 Introduction to Databases Haiyang Zhang
    CPT104 Operating Systems Concepts Yangbin Chen
    CPT108 Data Structures And Algorithms Ho Lam
    CPT202 Software Engineering Group Project Chengtao Ji
    CPT204 Advanced OO Programming Yihong Wang
    CPT208 Human-Centric Computing Yue Li
    CPT210 Microprocessor Systems Lijie Yao
    CPT302 Multi-Agent Systems Erick Purwanto
    CPT304 Software Engineering II Soon Phei Tin
    CPT306 Principles of Computer Games Design Zhijie Xu
    CPT307 ?Advanced Operating System and Programming Dawei Liu
    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
    EEE109 Electronic Circuits Bing Han
    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
    EEE340 Protective Relaying Fei Xue
    EEE346 Modern Power Systems Operation And Control Timur Saifutdinov
    EEE402 Photovoltaic Energy Technology Guanying Chu
    EEE406 Power Electronics and Applications for Renewable Energy Xuchen Wang
    INT101 Python for AI Junjie Zhang
    INT102 Algorithmic Foundations and Problem Solving Yushi Li
    INT104 Artificial Intelligence Shengchen Li
    INT106 Math for Machine Learning Guanyu Yang
    INT202 Complexity of Algorithms Rui Yang
    INT302 Image Processing Siyue Yu
    INT304 Pattern Recognition in Computer Vision Xi Yang
    INT306 computer auditory systems Shengchen Li
    INT406 Data Mining and Machine Learning Fangyu Wu
    MEC103 Statics Yan Yan
    MEC104 Experimental, Computer Skills and Sustainability Myeongsu Seong
    MEC108 Introduction to Mechatronics Qinglei Bu
    MEC202 Industrial Awareness and Group Project Quan Zhang
    MEC204 Mechanical Engineering Design Min Chen
    MEC206 Dynamic Systems Qinyao Liu
    MEC208 Instrumentation and Control System Yuqing Chen
    MEC302 Embedded Computer Systems Fanxin Wang
    MEC305 Robotic Systems Yuqing Chen
    SAT005 Introduction to Emerging Technologies Paul Craig
    SAT301 Final Year Project Pengfei Song
    SAT405 MRes Dissertation Project Jie Zhang
    SAT102 Entrepreneurial Skills for Advanced Technologies Mark Leach
    SAT404 MRes Project Preparation Paul Craig
    SAT408 Artificial Intelligence for Energy Sciences Xu Xu
    SAT409 Digital Twin Engineering Haoran Wen
    SAT410 Large-Scale Machine Learning Models for Industry Shan Liang
    SAT411 Machine Learning for Industry Jianjun Chen

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    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

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    The pay rate for Academic Year 2025-26

    • 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 applications to sat@gdsqbz.com by February 6, 2026.

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

    For XJTLU students, please apply for TA positions directly through the Teaching Assistant Management System (TAMS)?at https://ta.gdsqbz.com.

    Interviews will be arranged subsequently, and the results will be announced within two weeks after the interview.

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