Teaching Assistants

Teaching Assistants in the School of Robotics 

Applications are invited for teaching assistant (TA) positions in the School of Robotics at Xi’an Jiaotong-Liverpool University (XJTLU). The TA positions are open for all qualified interested graduate students (Masters and PhD students) on the campus of XJTLU or other graduates in Suzhou. All applications will be considered by the recruiting panel which consists of two or more academic staff 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 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.

Skills and Knowledge：

• Proficient spoken and written English
• Excellent communication and interpersonal skills
• Excellent presentation 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

(SIP) RBE002: Explore Intelligent Robotics Technologies
Background Requirement:
1. Familiar with the Basic Digital System
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Apr 30
Headcount: 2

(TC) RBE102TC: Engineering Mathematics II
Responsibilities:
Support students in seminar and tutorial sessions
Assist in marking coursework and exam
Time: Apr 1 – Jun 30
Headcount: 3

(TC) RBE103TC: Electronic Circuits – Analogue and Digital
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Apr 30
Headcount: 7

(TC) RBE204TC: Sensors and Instrumentation
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Jun 30
Headcount: 1

TC) RBE205TC: Mobile Robots Design
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Apr 30
Headcount: 2

(TC) RBE206TC: Project-based Practice in Intelligent Robotics
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Jun 30
Headcount: 1

(TC) RBE207TC: Microprocessor and Embedded Computer System
Background Requirement:
1.Familiar with the ARM instruction set and embedded computer system
2.Familiar with ARM7, STM32, and Keil UVision 5
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Jun 30
Headcount: 2

(TC) RBE211TC: Dynamic Systems
Responsibilities:
Support students project in lab and tutorial
Time: Mar 1 – Apr 10
Headcount: 2

(TC) RBE304TC: Principle of Intelligent Control
Responsibilities:
Support students project in lab and tutorial
Time: Apr 1 – Jun 30
Headcount: 1

(TC) RBE404TC: Application of Cutting Edge Technologies in Robotics Design
Background Requirement:
1. PhD Student with relevant background
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Apr 30
Headcount: 1

(TC) RBE405TC: Advanced Robotics Intelligence and Machine Learning
Background Requirement:
1. PhD Student with relevant background
Responsibilities:
Support students project in lab and tutorial
Time: Apr 1 – Jun 30
Headcount: 2

(TC) RBE406TC: Advanced Computer Vision
Background Requirement:
1.Background in Deep Learning, PyTorch, Vision-Language Models
2.Familiar with Python Coding with Remote Linux Servers
3.Experience with Ubuntu / Linux Terminal Operations
Responsibilities:
Support students project in lab and tutorial
Manage students’ server accounts during the module deliveries.
Time: Apr 15 – Jul 1
Headcount: 2

(TC) RBE407TC: Advanced Robotics Algorithm Design
Background Requirement:
1. Know how to use matlab for programming and simulation
2. Good at Robotics System and Optimization Algorithm
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Jun 30
Headcount: 2

(TC) RBE408TC: Immersive Robotics Studio 1
Background Requirement:
1. PhD Student with relevant background
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Apr 30
Headcount: 1

(TC) RBE409TC: Immersive Robotics Studio 2
Background Requirement:
1.PhD student with Mechanical or Computer Vision Background.
2.Experience in Raspberry Pi.
Responsibilities:
Support students project in lab and tutorial
Time: Apr 1 – Jun 30
Headcount: 1

(TC) RBE410TC: Control and Sensor Technologies Applications
Background Requirement:
1. PhD Student with an electrical, mechanical or computer engineering background
Responsibilities:
Support students project in lab and tutorial
Time: Feb 1 – Jun 30
Headcount: 3

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 application to IRE@xjtlu.edu.cn by 2 March 2026.

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 2 weeks with decisions made within 2 weeks after the interview.