Applications are invited for teaching assistant (TA) positions in the School of AI & Advanced Computing. 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.
DTS002TC Essentials of Big Data (Location: SIP)
Credits: 5
Delivery Mode: Lectures: 2*7, Seminars:2*7 ,
Labs: 4*7; Second Block
Number of TA needed: 8
Requirements: Proficient with Matlab
DTS101TC Introduction to Neural Networks (Location: TC)
Credits: 2.5
Delivery Mode: Lectures: 4*5,Seminars: 2*1 ,
Tutorials: 2*2; First block
Number of TA needed: 1
Requirements: Strong experience in deep
learning, machine learning, and Python
DTS104TC Numerical Methods (Location: TC)
Credits: 2.5
Delivery Mode: Lectures: 4*5, Seminars: 2*1 ,
Tutorials: 2*6;Second block
Number of TA needed: 2
Requirements: Good mathematical background and
experience with Matlab
CPT106TC Introduction to Databases (Location: TC)
Credits: 5
Delivery Mode: Lectures: 5*5, Seminars: 2*1,
Labs: 5*5; Second block
Number of TA needed: 3 to 4
Requirements: Good knowledge of database design
and SQL
DTS203TC Design and Analysis of Algorithms (Location: TC)
Credits: 5
Delivery Mode: Lecturers:8*5, Seminar:2*1, Labs: 1*6;First block
Number of TA needed: 2
Requirements: (1) knowledge of algorithms
(2) be able to implement algorithms with Python
DTS204TC Data Visualisation (Location: TC)
Credits: 2.5
Delivery Mode: Lectures: 4*5, Seminars:2*1;
Labs: 1*6;Second block
Number of TA needed: 2
Requirements: Be familiar with or interested in
Data Visualisation. Skills: JavaScript,D3.js
DTS205TC High performance computing (Location: TC)
Credits: 2.5
Delivery Mode: Lectures: 3*5, Seminars:2*1;Tutorial:
1*6, Labs: 1*6;First block
Number of TA needed: 2
Requirements: Familiar with Java if the
candidate is a PhD student, if familiar with both Java and Hadoop, master level
is fine.
DTS206TC Applied Linear Statistical Models (Location: TC)
Credits: 5
Delivery Mode: Lectures: 8*5, Seminars:2*1 ,
Tutorials: 1*6 Second block
Number of TA needed: 2
Requirements: Proficient in R
DTS304TC Machine Learning (Location: TC)
Credits: 5
Delivery Mode: Lectures: 4*5, Seminars: 2*1, Tutorials: 2*6, Labs: 2*6; Second block
Number of TA needed: 2
Requirements: Proficiency in Python programming language. Ideally, have a background in machine learning.
Applicants should submit their application to AIAC@xjtlu.edu.cn by 8 February, 2023
Applicants are required to provide their CVs and academic transcripts of previous studies.