PhD position in Software Security and Machine Learning at University of Texas at Dallas, USA.

Scholarship: Full scholarship (including tuition fees, insurance and living allowance)
Degree: Ph.D
Nationality: International Students
Location: USA
Application deadlines:  Autumn 2023 or Spring 2024

Scholarship Description:

The University of Texas at Dallas (UTD or UT Dallas), founded in 1969 in Richardson, Texas, has been one of the leading research universities (R1) in the University of Texas system in recent years and one of the fastest growing public universities in the United States over the past decade. UT Dallas has a strong academic reputation for its computer science program, ranked 57th in CS Rankings and 63rd in U.S. News, and a strong reputation for software engineering and security, ranked 7th in CS Rankings for software engineering and 38th for security.

UT Dallas is located in the heart of the Dallas-Fort Worth Metroplex (DFW), the fourth largest metropolitan area in the United States, in the heart of the telecommunications corridor north of Dallas. The DFW area is also home to 24 Fortune 500 companies, including ExxonMobil, Mc Sam, American Airlines, Southwest Airlines, Boeing, Toyota, Carlson Financial and others. During the epidemic, the Dallas area attracted many start-up companies to relocate to the area, and well-known high-tech giants such as Microsoft, Amazon and Google added offices and thousands of new jobs to the area. The local economy is strong and offers a wide range of internship and job opportunities for CS students at UT Dallas. In addition, the Dallas area is known for its open and tolerant culture, convenient living conditions, mild climate and low cost of living, and has been ranked as one of the safest cities in the country for many years.

Xinda Wang will join the Department of Computer Science at the University of Texas at Dallas as an Assistant Professor in autumn 2023. Dr Wang’s research focuses on the application of artificial intelligence to computer security problems, including software security and analytics, cloud/container security, and network security. She has presented several single-authored papers at leading international security conferences such as IEEE S&P (Oakland), DSN, and others.

 Available Subjects:

  • AI-enhanced software security: deep learning for program analysis, code generation, vulnerability detection, patch management, etc.

Eligibility criteria:

  • Applicants should have a CS-related professional background, solid programming skills and mathematical and scientific foundations, good communication skills in English writing, and relevant experience in program analysis, software/system security, or NLP/ML is preferred.

Application Procedure:

Interested students are welcome to send an email to [email protected] and provide (1) planned date of admission; (2) CV and transcripts; (3) research interests and projects/research experience (if any); (4) published papers or open source GitHub projects (if any).