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 POSTGRADUATE RESEARCH (PGR) STUDENTS

• Laboratory demonstration and support for practical work in the classroom
• Attendance on and support with field courses
• One-to-one or group tutoring
• Invigilation of formal examinations and/or class tests
• Delivery of occasional formal lectures 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 departments, the relevant cluster or the Education Development Unit (EDU). Relevant health and safety issues should be covered in this training
• Marking of formative assignments with appropriate training
• Marking of summative assessments with appropriate training. PGR students must never act as the sole examiner on any summative assessment; any work that has been marked by a PGR student MUST be included in the sample provided for internal and external moderation.

XJTLU MASTERS STUDENTS, AND GRADUATE STUDENTS (POSTGRADUATE RESEARCH AND MASTERS) FROM OTHER UNIVERSITIES

• Tutoring or lab demonstration
• Scheduled office hours for one-to-one tutoring
• Assistance in marking of formative assignments, reports, quizzes, etc. with appropriate training and guidance. For marking of any assessment that contributes to the final module mark, the Teaching Assistant may only perform mechanical marking tasks as supervised by the Module Examiner, not marking tasks that involve academic judgment.

SKILLS AND KNOWLEDGE

• For IOT103TC Computer Architecture and Operating Systems

Credits: 5
Delivery Mode: Lectures: 8*5; Seminars 2*1; Labs 1*6; Second Block: Week8-14
Recruiting Numbers: 5
Requirements: TAs are expected to have Degree in Electronics and Electrical Engineering; and have solid background knowledge of Digital System Design, Computer Architecture and Operating System.

• For IOT201TC Control Technology of IoT

Credits: 5
Delivery Mode: Lectures: 5*5; Seminar 2*1; Labs 4*6; Second Block: Week8-14
Recruiting Numbers: 1
Requirements: TAs are expected to have solid background knowledge of Arduino and C++.

• For IOT202TC Data Structure and Algorithms

Credits: 5
Delivery Mode: Lectures 7*5, Seminars 2*1, Tutorials 1*7, Lab 1*7, First Block: Week1-7
Recruiting Numbers: 1
Requirements: TAs are expected to have solid background knowledge of Data Structure and Algorithm and Java (Programming language).

• For IOT203TC Sensor Technology

Credits: 2.5
Delivery Mode: Lectures 3*5; Labs 2*6; Second Block: W8-14
Recruiting Numbers: 1

Requirements: TAs are expected to have solid background knowledge of electrical circuit connection and measurement, such as soldering, use of oscilloscope and DC power supply.

• For IOT209TC Introduction to Networking

Credits: 5
Delivery Mode: Lectures 5*5, Seminars 2*1, Tutorials 2*6, Lab 2*6; Second Block: Wee8-14
Recruiting Numbers: 1
Requirements: TAs are expected to have solid background knowledge of computer networking.

• For IOT302TC Wireless Sensor Networks

Credits: 5
Delivery Mode: Lectures 5*5, Lab 5*5, First Block: Week1-7
Recruiting Numbers: 1
Requirements: TAs are expected to have a good command background knowledge of MATLAB.

• For IOT307TC Big Data Analytics (Semester 1)

Credits: 5
Delivery Mode: Lectures 6*5, Lab 5*5, Second Block: Week8-14
Recruiting Numbers: 1
Requirements:
TAs are expected to have a Degree in Electronics and Electrical Engineering or Computer Science, or Master’s Degree in Data Analytics or AI.
TAs are expected to have solid skills of software programming experience, objected oriented language, Python, C++, MathLab, Labview.

PAY RATE

• 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 Xier.Chen@xjtlu.edu.cn by 29th August, 2022.
• Applicants are required to provide their CVs and academic transcripts of previous studies.
• The interview is expected to be arranged around 1st September, 2022 with decisions made within 1 week after the interview.