Application requirements：

The Applicant must meet the minimum requirements for application as follows:

GPA: not lower than 3.0/4.0;

IELTS: overall 6.5, and the writing score is not lower than 6.0;

TOEFL: paper based: not less than 550 overall with TWE of 4.5； internet based: not less than 79, and the writing score is not lower than 21。

How to apply?

Prepare the application materials (relevant forms shall be downloaded from the “Form Download” column)

“Form Download”website: http://gs.sustech.edu.cn/zhaoshengQ&A

1. Application form (in English);

2. Resume or CV (in English);

3. Research plan (within 2,000 characters in English);

4. Personal statement (within 2,000 characters in English);

5. Two recommendation letters (in English);

6. Transcripts scanning copy (stamped with the Seal for Teaching Affairs Office of Graduate University or the Seal for Personnel of the place where archives are kept);

7. English Test Report (such as TOEFL/IELTS, etc.);

8. ID card scanning copy;

9. Scanning copy of Degree Certificate/ Diplomas, education and student information certification, For Chinese applicants, please verify your degree certificate and diploma through website: http://www.chsi.com.cn/ and provide the electronic verification record;

10. Other materials contributing to application (such as thesis, academic paper published in the scientific research periodicals or meeting, or other publication, patent, honorary certificate, professional certificate scan, etc.).

Notes: All the Degree Certificates, Diplomas and other certifications must be authentic; otherwise the applicant will bear all the consequences.

Deadline

Please package your application materials and send to csyzb@sustech.edu.cn

before 30th Nov. 2018.

The format of e-mail subject: applying for 2019 SUSTech-UTS Joint PhD Program: Name of the Applicant.

The e-mail with nonconforming subject format will be not accepted.

Contact

Email: csyzb@sustech.edu.cn

Tel: +86-755-8801 8539 

Joint PhD programmes

1. Swarm Intelligence for Dynamic Optimization.docx

2. Combining code structure and semantics for deep software analytics.docx

3. An automated approach for detecting and repairing cross browser compatibility issues on Android apps.docx

4. Semantic segmentation on medical images.docx

5.docx

5-1  Automatic Music Composition and Generation

5-2  Automatically Generating Compact and Powerful Deep Neural Networks

5-3 Integrating Augmented, Synthesized and Adversarial Crafted Samples for Robust Training

6. Automated Diagnosis and Fixing of Software Vulnerabilities in Cyber-Physical Systems.docx

7. Event-based Machine Learning Visual Analytics for BlockChain Pattern Exploration.docx

8. Development of Open Datasets for Autonomous Transportation with Smart Sample and Cyber-Physical Benchmark.docx

9.docx

9-1 Deep Learning for IoT Streaming Data Processing in Edge

9-2 Modeling of vulnerability levels of an electric power network equipped with PMUs to cyber-attacks

9-3 Autonomic computing model for enhancing resilience of an electric power network to cyber-attacks

10 Artificial Intelligence

11 Data science

12 Computer system and networking

13 Computational Theory