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.
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:
Modules include
Skills and Knowledge
The pay rate for Academic Year 2023-24
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.