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 at Xi’an Jiaotong-Liverpool University (XJTLU). 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

• IOT005TC Exploring Advanced Technologies and Interdisciplinary Applications (Location: SIP)

Credits: 2.5

Number of TA needed: 1

Requirements: Good English in reading and writing.

• IOT104TC Introduction to Internet of Things (Location: Taicang)

Credits: 5

Number of TA needed: 1

Requirements: Arduino, Linux, and Programming skills.

• IOT105TC IoT in Organizations (Location: Taicang)

Credits: 2.5

Number of TA needed: 1

Requirements:

1. Basic Arduino skills
2. Proficiency in foundational organizational theory, including structures and behaviors.
3. Strong understanding of IoT infrastructure, networks, and architectures.
4. Knowledge of IoT applications in smart cities, manufacturing, and health.
5. Familiarity with security, privacy, and ethical considerations in IoT deployment.
6. Ability to support students in technical report writing and requirements analysis for their coursework submissions.

• IOT106TC AI-Centric Technology Fundamentals and Perspectives for IoT Big Data Analytics (Location: Taicang)

Credits: 2.5

Number of TA needed: 1

Requirements:

1. Strong understanding of the “3Vs” of Big Data, data pipelines (acquisition, extraction, aggregation), and data types (structured vs. unstructured).
2. Proficiency in Exploratory Data Analysis (EDA) and Confirmatory Data Analysis (CDA).
3. Be fluent in Python for data analytics tasks.
4. Familiarity with data processing frameworks and general database management including the visualization.

• IOT201TC Control Technology of IoT (Location: Taicang)

Credits: 2.5

Number of TA needed: 1

Requirements: Solid understanding of basic IoT concepts, embedded systems, and sensor networks, with background knowledge in Matlab.

• IOT203TC Sensor Technology (Location: Taicang)

Credits: 2.5

Number of TA needed: 1

Requirements: Knowledgeable in sensor fundamentals, proficient in C/MATLAB programming, and familiar with STM32/ESP32.

• IOT212TC Wireless Sensor Networks and Communication Protocols (Location: Taicang)

Credits: 2.5

Number of TA needed: 1

Requirements: Python, Matlab, and basic wireless communications background.

• IOT215TC Machine Learning for IoT (Location: Taicang)

Credits: 5

Number of TA needed: 1

Requirements:

1. Be fluent in Python, specifically with data science and ML libraries (e.g., NumPy, Pandas, Scikit-learn).
2. Solid theoretical knowledge of Supervised Learning (Regression, SVM, Decision Trees, Neural Networks) and Unsupervised Learning (Clustering, GMM). Familiarity with Deep Learning concepts, specifically Convolutional Neural Networks (CNN), and experience with frameworks like PyTorch or TensorFlow is highly preferred.
3. Ability to explain how ML applies to IoT scenarios (e.g., sensor data processing) is a plus.

• IOT304TC Cloud Computing (Location: Taicang)

Credits: 5

Number of TA needed: 1

Requirements: Linux, Programming, Computer Networks.

• IOT306TC Image Processing (Location: Taicang)

Credits: 5

Number of TA needed: 1

Requirements: Proficiency in Python or MATLAB; experience with OpenCV or similar image processing libraries; understanding of digital signal processing, filtering, and computer vision algorithms.

• IOT401TC IOT for Smart Cities (Location: Taicang)

Credits: 5

Number of TA needed: 1

Requirements: Knowledge of IoT network protocols (LoRaWAN, NB-IoT, Zigbee); experience with sensor integration and data visualization; understanding of urban infrastructure and smart grid concepts; basic data analytics skills.

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 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 IOT@xjtlu.edu.cn by 8^th February, 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.