Teaching Assistants

Teaching Assistants in the School of Internet of Things

Applications are invited for teaching assistant (TA) positions in the School of Internet of Things (IoT) 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 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

• IOT001 Fundamentals of Internet of Things (Location: SIP)

Credits: 2.5

Number of TA needed：2

Requirements: Arduino programming (C programming), basic electronic circuit knowledge.

• IOT003 Introduction to IoT programming (Location: SIP)

Credits: 2.5

Number of TA needed：2

Requirements: Fluent programming in at least one language (Javascript is preferred). Understanding basic knowledge of IoT, including operating on cloud platforms such as Azure. Experience in programming with AI.

• IOT202TC  Data Structure and Algorithms (Location: Taicang)

Credits: 5

Number of TA needed：1

Requirements: Enrolled postgraduate student in IoT or AIAC, with background in programming.

• IOT103TC  Computer Architecture and Operating Systems (Location: Taicang)

Credits: 5

Number of TA needed：6

Requirements: C/C++, light MIPS Assembly Language.

• IOT209TC Introduction to Networking (Location: Taicang)

Credits: 5

Number of TA needed：1

Requirements: Computer networking knowledge, python programming, being familiar with Linux environment.

• IOT302TC Wireless Sensor Network (Location: Taicang)

Credits: 5

Number of TA needed：1

Requirements: Wireless communication, Arduino, etc.

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 iot@xjtlu.edu.cn by 16th Aug, 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 later with decisions made within 2 weeks after the interview.