Applications are invited for the Teaching Assistant (TA) positions in the School of Intelligent Manufacturing Ecosystem at Xi’an Jiaotong-麻豆国产 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.
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 PGR students must be moderated, and they are not permitted to act as moderators.
Modules and requirements
MFE103TC: Introduction to Structural Materials
Module leader: Yuyi Zhu
Background Requirement: Materials Science, Intelligent Manufacturing, Civil Engineering or Mechanical Engineering.
Responsibilities:
1. Demonstrate the testing procedures and working principles of lab facilities (Tensile tester, hardness tester, sample cutting, polishing machines, optical microscope and etc.).
2. Assist lab technicians to inspect students’ performance during the labs.
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE104TC: Electrical Circuits
Module leader: Gomesh Nair
Background Requirement: TA with Electrical Engineering, Electronic Engineering, or related engineering backgrounds, with prior academic exposure to subjects such as Electrical Circuits, Power Electronics, Microelectronics, or related areas during their undergraduate, master’s, or PhD studies.
Responsibilities:
1. Assist the academic staff in conducting tutorials related to Electric Circuit fundamentals and applications.
2. Support students in understanding circuit analysis, electrical principles, component functions, and problem-solving techniques during lectures and tutorial sessions or; Demonstrate experimental procedures and explain the working principles of electric circuit laboratory equipment, instruments, and measurements.
3. Assist academic staff in grading, marking, and providing feedback for assignments, quizzes, laboratory reports, tutorials, and other coursework-related assessments.
4. Considering the class size, students will be divided into groups for tutorials, laboratory experiments, and practical tasks. Assistance from the TA would greatly enhance the effectiveness of teaching delivery, experimental demonstrations, student engagement, troubleshooting support, and health and safety monitoring.
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE113TC: Programming Foundation for Intelligent Manufacturing Engineering
Module leader: Jiachen Liu
Background Requirement: PhD/Master’s students with a STEM background and a good command of C/C++ programming. Experience in Python, matlab, R, intelligent manufacturing, automation, or laboratory teaching is preferred.
Responsibilities:
1. Assist the instructor with lectures, tutorials, and laboratory sessions.
2. Support students in programming exercises, debugging, and practical tasks.
3. Demonstrate laboratory procedures, equipment operation, and relevant working principles.
4. Help organize group activities and monitor students’ progress, participation, and laboratory safety.
5. Assist with examination invigilation, assignment marking, practical assessment, and grading under the instructor’s guidance.
6. Provide basic consultation and feedback to students and support other course-related teaching activities as required.
Time: 7 Sep – 23 Oct
Location: TC Campus
MFE205TC: Manufacturing Process
Module leader: Andrew Huey Ping Tan
Background Requirement: PhD/Master students with manufacturing/mechanical /materials background and is familiar with Solidwork
Responsibilities:
1. Assist with Tutorial
2. Assist with onsite assignment and labs
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE209TC: Sensors, Instrumentation and Industrial Applications
Module leader: Yasunori Sakai
Background Requirement: PhD/Master students with Materials Science, Intelligent Manufacturing, Civil Engineering or Mechanical Engineering background
Responsibilities:
1. Demonstrate the testing procedures and working principles of lab facilities.
2. Assist lab technicians to inspect students’ performance during the labs.
3. Be familiar with the lab safety regulations and assist staff to monitor students’ behaviour and safety awareness.
4. Considering the class size, students will be divided into groups work on different tasks, the assistance from TA would greatly enhance the academic staff and lab team to facilitate experimental operation, test demonstration and health & safety monitoring.
Time: 7 Sep – 23 Oct
Location: TC Campus
MFE302TC: Intelligent Manufacturing Information System (Haier)
Module leader: Xiaolong Lu
Background Requirement: PhD/Master students with STEM background and fundamental level of AI
Responsibilities:
1. Assist the academic staff in conducting lab and tutorials related to intelligent manufacturing fundamentals and applications.
2. Be familiar with the lab safety regulations and assist staff to monitor students’ behaviour and safety awareness.
3. Assist academic staff in grading, marking, and providing feedback for assignments, quizzes, laboratory reports, tutorials, and other coursework-related assessments.
4. Considering the class size, students will be divided into groups for tutorials, laboratory experiments, and practical tasks. Assistance from the TA would greatly enhance the effectiveness of teaching delivery, experimental demonstrations, student engagement, troubleshooting support, and health and safety monitoring.
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE401TC: Industrial Internet of Things
Module leader: Mengjie Hu
Background Requirement: PhD/Master students with STEM background
Responsibilities:
1. Assist with Tutorial
2. Assist with Lab
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE402TC: Material Science and Manufacturing Processes
Module leader: Kazi Mostafa
Background Requirement: PhD students with STEM background
Responsibilities:
Assist Tutorial and lab
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE410TC: Research, Development, and Innovation
Module leader: Junyu Fu
Background Requirement: PhD students with rich publication experience
Responsibilities:
Assist the academic staff in conducting tutorials related to paper publication
Time: 7 Sep – 23 Oct
Location: TC Campus
MFE411TC: Big Data Analysis for Manufacturing
Module leader: Nieqing Cao
Background Requirement: PhD students with STEM background and fundamental level of Python
Responsibilities:
1. Demonstrate the testing procedures and working principles of lab facilities.
2. Assist lab technicians to inspect students’ performance during the labs.
3. Be familiar with the lab safety regulations and assist staff to monitor students’ behaviour and safety awareness.
4. Considering the class size, students will be divided into groups work on different tasks, the assistance from TA would greatly enhance the academic staff and lab team to facilitate experimental operation, test demonstration and health & safety monitoring.
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE412TC: Engineering Frontiers: Methods and Applications
Module leader: Zhuo Xu
Background Requirement: PhD students with Intelligent Manufacturing, Mechanical Engineering background
Responsibilities:
1. Assist with Tutorial
2. Assist with Lab
Time: 2 Nov – 11 Dec
Location: TC Campus
MFE419TC: Applied Research Techniques and Methodologies
Module leader: Junyu Fu
Background Requirement: PhD students with rich publication experience
Responsibilities:
Assist the academic staff in conducting tutorials related to paper publication
Time: 7 Sep – 11 Dec
Location: TC Campus
The pay rate for Academic Year 2026-27
XJTLU PhD students: CNY60/hour (before tax)
XJTLU Master’s students: CNY50/hour (before tax)
PhD and Master’s students from other universities: CNY50/hour (before tax)
How to apply
Applicants should submit your application to IME@xjtlu.edu.cn?by 1 September 2026.
Applicants are required to provide a CV and a picture of your student ID.
For XJTLU students, please apply for TA positions through the Teaching Assistant Management System(TAMS) directly.
The interview is expected to be arranged after receiving the application, with decisions made within 2 weeks after the interview.
Teaching Assistants Recruitment
Applications are invited for the Teaching Assistant (TA) positions in the School of Intelligent Manufacturing Ecosystem at Xi’an Jiaotong-麻豆国产 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.
TA duties include:
XJTLU Master’s students, XJTLU PhD students, and postgraduate (Master’s and PhD) students from other universities
At the discretion of relevant academic units, XJTLU PhD students may be permitted to undertake the following additional responsibilities with appropriate training and guidance:
Modules and requirements
Module leader: Yuyi Zhu
Background Requirement: Materials Science, Intelligent Manufacturing, Civil Engineering or Mechanical Engineering.
Responsibilities:
1. Demonstrate the testing procedures and working principles of lab facilities (Tensile tester, hardness tester, sample cutting, polishing machines, optical microscope and etc.).
2. Assist lab technicians to inspect students’ performance during the labs.
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Gomesh Nair
Background Requirement: TA with Electrical Engineering, Electronic Engineering, or related engineering backgrounds, with prior academic exposure to subjects such as Electrical Circuits, Power Electronics, Microelectronics, or related areas during their undergraduate, master’s, or PhD studies.
Responsibilities:
1. Assist the academic staff in conducting tutorials related to Electric Circuit fundamentals and applications.
2. Support students in understanding circuit analysis, electrical principles, component functions, and problem-solving techniques during lectures and tutorial sessions or; Demonstrate experimental procedures and explain the working principles of electric circuit laboratory equipment, instruments, and measurements.
3. Assist academic staff in grading, marking, and providing feedback for assignments, quizzes, laboratory reports, tutorials, and other coursework-related assessments.
4. Considering the class size, students will be divided into groups for tutorials, laboratory experiments, and practical tasks. Assistance from the TA would greatly enhance the effectiveness of teaching delivery, experimental demonstrations, student engagement, troubleshooting support, and health and safety monitoring.
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Jiachen Liu
Background Requirement: PhD/Master’s students with a STEM background and a good command of C/C++ programming. Experience in Python, matlab, R, intelligent manufacturing, automation, or laboratory teaching is preferred.
Responsibilities:
1. Assist the instructor with lectures, tutorials, and laboratory sessions.
2. Support students in programming exercises, debugging, and practical tasks.
3. Demonstrate laboratory procedures, equipment operation, and relevant working principles.
4. Help organize group activities and monitor students’ progress, participation, and laboratory safety.
5. Assist with examination invigilation, assignment marking, practical assessment, and grading under the instructor’s guidance.
6. Provide basic consultation and feedback to students and support other course-related teaching activities as required.
Time: 7 Sep – 23 Oct
Location: TC Campus
Module leader: Andrew Huey Ping Tan
Background Requirement: PhD/Master students with manufacturing/mechanical /materials background and is familiar with Solidwork
Responsibilities:
1. Assist with Tutorial
2. Assist with onsite assignment and labs
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Yasunori Sakai
Background Requirement: PhD/Master students with Materials Science, Intelligent Manufacturing, Civil Engineering or Mechanical Engineering background
Responsibilities:
1. Demonstrate the testing procedures and working principles of lab facilities.
2. Assist lab technicians to inspect students’ performance during the labs.
3. Be familiar with the lab safety regulations and assist staff to monitor students’ behaviour and safety awareness.
4. Considering the class size, students will be divided into groups work on different tasks, the assistance from TA would greatly enhance the academic staff and lab team to facilitate experimental operation, test demonstration and health & safety monitoring.
Time: 7 Sep – 23 Oct
Location: TC Campus
Module leader: Xiaolong Lu
Background Requirement: PhD/Master students with STEM background and fundamental level of AI
Responsibilities:
1. Assist the academic staff in conducting lab and tutorials related to intelligent manufacturing fundamentals and applications.
2. Be familiar with the lab safety regulations and assist staff to monitor students’ behaviour and safety awareness.
3. Assist academic staff in grading, marking, and providing feedback for assignments, quizzes, laboratory reports, tutorials, and other coursework-related assessments.
4. Considering the class size, students will be divided into groups for tutorials, laboratory experiments, and practical tasks. Assistance from the TA would greatly enhance the effectiveness of teaching delivery, experimental demonstrations, student engagement, troubleshooting support, and health and safety monitoring.
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Mengjie Hu
Background Requirement: PhD/Master students with STEM background
Responsibilities:
1. Assist with Tutorial
2. Assist with Lab
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Kazi Mostafa
Background Requirement: PhD students with STEM background
Responsibilities:
Assist Tutorial and lab
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Junyu Fu
Background Requirement: PhD students with rich publication experience
Responsibilities:
Assist the academic staff in conducting tutorials related to paper publication
Time: 7 Sep – 23 Oct
Location: TC Campus
Module leader: Nieqing Cao
Background Requirement: PhD students with STEM background and fundamental level of Python
Responsibilities:
1. Demonstrate the testing procedures and working principles of lab facilities.
2. Assist lab technicians to inspect students’ performance during the labs.
3. Be familiar with the lab safety regulations and assist staff to monitor students’ behaviour and safety awareness.
4. Considering the class size, students will be divided into groups work on different tasks, the assistance from TA would greatly enhance the academic staff and lab team to facilitate experimental operation, test demonstration and health & safety monitoring.
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Zhuo Xu
Background Requirement: PhD students with Intelligent Manufacturing, Mechanical Engineering background
Responsibilities:
1. Assist with Tutorial
2. Assist with Lab
Time: 2 Nov – 11 Dec
Location: TC Campus
Module leader: Junyu Fu
Background Requirement: PhD students with rich publication experience
Responsibilities:
Assist the academic staff in conducting tutorials related to paper publication
Time: 7 Sep – 11 Dec
Location: TC Campus
The pay rate for Academic Year 2026-27
How to apply
Applicants should submit your application to IME@xjtlu.edu.cn?by 1 September 2026.
Applicants are required to provide a CV and a picture of your student ID.
For XJTLU students, please apply for TA positions through the Teaching Assistant Management System(TAMS) directly.
The interview is expected to be arranged after receiving the application, with decisions made within 2 weeks after the interview.