Teaching assistant - AIAC

Teaching assistant - AIAC

Applications are invited for teaching assistant (TA) positions in the in the School of AI & Advanced Computing 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:

DTS001TC Data Analytics for Entrepreneurship (Location: SIP)
Credits: 2.5
Number of TA needed:20
Requirements: Excellent in Excel

DTS003 AI and Entrepreneurial Innovation (Location: SIP)
Credits: 2.5
Number of TA needed:20
Requirements: Good communication skills and general knowledge of the applications of AI

DTS102TC Programming with C++/R (Location: Taicang)
Credits: 5
Number of TA needed:19
Requirements: English/C+/Majored in Engineering

DTS201TC Pattern Recognition (Location: Taicang)
Credits: 5
Number of TA needed:9
Requirements: Machine Learning/Python

DTS207TC Fundamentals of Parallel Computing (Location: Taicang)
Credits: 5
Number of TA needed:9
Requirements:Proficiency in parallel computing concepts such as concurrency, synchronization, communication models, and performance optimization. Understanding of parallel programming paradigms like message passing (MPI), shared memory (OpenMP), GPU programming (CUDA). Programming Skills: Proficiency in programming languages commonly used in parallel computing, such as C, C++, Python. Experience with parallel computing tools and libraries (e.g., MPI, OpenMP, CUDA).

DTS207TC Database Development and Design (Location: Taicang)
Credits: 5
Number of TA needed:9
Requirements: Having little bit experience of using Oracle or willing to learn and work with Oracle

DTS305TC Natural Language Processing (Location: Taicang)
Credits: 5
Number of TA needed:8
Requirements: Experience in acquiring natural language through Python data structures, data mining

DTS305TC Secruity, Privacy and Ethics (Location: Taicang)
Credits: 5
Number of TA needed:8
Requirements: Good programming skills including Python, Jupyterlab R, Hadoop MapReduce, Spark (Spark MLlib)

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 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 Chenhui.Lu@xjtlu.edu.cn by 23rd 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 around Sep 1st, 2024 with decisions made within 1 weeks after the interview.