Teaching Assistants

Teaching Assistants

Applications are invited for teaching assistant (TA) positions in the School of Intelligent Finance and Business at XJTLU Entrepreneur College (Taicang). 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 staff members in the department.

 

TA duties include:

For 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 the academic unit.

 

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 receiving appropriate training and initial supervision from their supervisor or the respective Module Leader. Such training may be provided by individual academic units or the Education Development Unit (EDU). Relevant health and safety issues will 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 PGR students must be moderated, and they are not permitted to act as moderators.

 

Module:

IFB002TC Essentials of Intelligent Supply Chain

 

Module Description:

The aim of this Year 1 module is to prepare students for study on the BSc Intelligent Supply Chain. The module teaches students about:

  •  The role of operations and supply chain management.
  •  The framework and the methodology of intelligent supply chain management.
  •  The evidence and data-driven decision-making skills for supply chain management.
  •  Soft skills such as paying attention to detail, communication, coordination, teamwork, problem-solving, change management, and leadership.

 

TA Work Plan & Commitment:
  •  Labs: 2 labs × 2 hours × 6 weeks = 24 hours.
  •  Lab Teaching Preparations: 1.5 hours × 6 labs = 9 hours.
  •  Other work (To Be Determined, e.g., company visit support, administration work, or moderation assistance): 7 hours.
  • Total Expected Hours: 40 hours.

 

Skills and Knowledge Required:
  • Proficient spoken and written English.
  • Excellent communication and interpersonal skills.
  • Excellent presentation skills and proficiency in Microsoft Office software (Word, Excel, PowerPoint, etc.).
  • Excellent organizational skills and attention to detail.
  • Adaptability and openness to change.
  • Previous TA working experience is preferred.
  • The module includes an online simulation game for supply chain management. Training will be provided before the lab sessions; however, the desired TA should possess foundational knowledge of supply chain management concepts.
  • The teaching assistant’s workplace is the SIP campus.

 

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:

Interested applicants should submit their CV and academic transcripts via email to Min.Guo02@xjtlu.edu.cn by 30 January, 2026.

 

For XJTLU students, please also apply for this TA position directly through the Teaching Assistant Management System (TAMS) at: https://ta.xjtlu.edu.cn

 

Then interviews will be held and the decisions will be made within two weeks after the interviews.