Teaching Assistants

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) RBE001:

Module Title: Introductions to Intelligent Robotics

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE101TC:

Module Title: Engineering Mathematics

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE104TC:

Module Title: C/C++ Programming Language

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab; assist the ML to organize the teaching materials

Time: Sep 1 – Dec 31

 

(TC) RBE106TC:

Module Title: AI-centric Technology Fundamentals for Intelligent Robotics

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE201TC:

Module Title: Computer Aided Design and Simulation with Sustainability Mindset in Robotics

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE203TC:

Module Title: Automatic Control Theories and Applications

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Oct 24

 

(TC) RBE208TC:

Module Title: Control Systems with AI: Theory and Practical Applications

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Nov 3 – Dec 31

 

(TC) RBE210TC:

Module Title: Mathematical Fundamentals of Machine Learning

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE303TC:

Module Title: Robot Modeling and Control

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE306TC:

Module Title: Computer Vision and Deep Learning

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Oct 15 – Jan 31

 

(TC) RBE307TC:

Module Title: Robot Operating System for Robotics Programming

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE401TC:

Module Title: Contemporary Mechatronics in Intelligent Robotics

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

(TC) RBE403TC:

Module Title: Intelligent Robotics and Applications

Background Requirement:

MS/PhD Student with relevant backgrounds

Responsibilities:

Support students project in lab and tutorial

Time: Sep 1 – Dec 31

 

The pay rate for Academic Year 2024-25:

  • 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@gdsqbz.com by 5 September 2025.

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.gdsqbz.com?directly.

The interview is expected to be arranged around 2 weeks with decisions made within 2 weeks after the interview.

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