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    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
    • Gnd support with field courses
    • 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(21/22)

    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

    CAN101

    Computer Systems

    CAN103

    Introduction to Databases

    CAN105

    Introduction to

    Programming in Java

    CAN107

    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

    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

    EEE307

    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

    MEC301

    Digital Control and Automatic
    Control

    MEC303

    Industrial Automation and Robot Control

    MEC307

    Mechatronic Systems Development

    SAT001

    Explore Advanced Technology

    SAT301

    Final Year Project

    SAT405

    MRes Dissertation Project

    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

    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 SAT@xjtlu.edu.cn by July 30, 2022.

    Applicants are required to provide their CVs and academic transcripts of previous studies.
    The interview is expected to be arranged with decisions made within 2 weeks after the interview.

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