Dr. Thomas Gilray is seeking talented students interested in programming languages to pursue a Ph.D. studying static program analysis, applications in verification and optimization, and related issues of concurrency and scalability. Gilray is working toward analyses that may be tuned easily and effectively, analyses that may be compiled and scaled automatically, and analyses that can be integrated into developer workflows, supporting faster and safer code.

Applicants should have:

• A degree in computer science, engineering, mathematics, or a related field.
• A solid background in programming using multiple language paradigms.
• Good mathematical sophistication.
• Passion for programming languages, functional programming, logic, compilers, or related topics.

If interested, please email Gilray at This email address is being protected from spambots. You need JavaScript enabled to view it..

Dr. Ragib Hasan (This email address is being protected from spambots. You need JavaScript enabled to view it.) is seeking motivated students to pursue Ph.D. studies in areas related to Computer Security, Cloud Computing, Digital Forensics, Internet of Things, Fog Computing/Edge Computing, and Smart Vehicles.

Dr. Hasan runs the UAB SECRETLab that focuses on research in these areas. The research is funded by multiple grants from the National Science Foundation and the National Institutes of Health.

Requirements:

• An outstanding graduate in computer science, applied mathematics, or a related field
• Solid knowledge and skills in programming
• Determination and willingness to work hard on individual and team projects.

Please contact Dr. Hasan at This email address is being protected from spambots. You need JavaScript enabled to view it. with your CV.

The Data Management group led by Dr. Da Yan at the CS department of UAB is looking for Ph.D. students to pursue research in (D1) scalable data analytics (using database techniques and/or HPC), and (D2) machine learning applications (especially deep learning). Students will be fully supported as Research Assistant. Working in this group trains you to work at the forefront of Data Science research and to pursue a fruitful academic career. If you are interested, please contact Yan at This email address is being protected from spambots. You need JavaScript enabled to view it. for a Skype interview.

Requirements for (D1):

• familiar with C/C++ and or Java programming
• familiar with common data structures and algorithms, as well as their libraries (STL and java.util package)
• familiar with database and data mining basics
• knowledge about parallel/distributed programming is a plus (e.g., MPI, Pthreads, C++11 multithreading)
• knowledge about Hadoop Ecosystem is a plus (e.g., HDFS, MapReduce, Spark)
• experience in research preferred (e.g., top conference/journal publications, not 3rd-tier ones)

Requirements for (D2):

• familiar with Python/Matlab/R programming
• familiar with common data mining and machine learning tools and libraries (e.g., scikit-learn, TensorFlow, MXNet, D3.js)
• experience in projects applying machine learning techniques is a plus
• experience in research preferred (e.g., top conference/journal publications, not 3rd-tier ones)

Dr. Chengcui Zhang's KDDM (Knowledge Discovery and Data Mining) lab is looking for highly motivated Ph.D. students to do research in multimedia machine learning and data mining, especially in the areas of healthcare and biomedical image/video data analysis. Qualified candidates are expected to have a strong programming and math background, good oral/writing skills, and excellent capabilities of independent research. Interested students should contact Dr. Chengcui Zhang (This email address is being protected from spambots. You need JavaScript enabled to view it.) for an interview.

Dr. Yuliang Zheng (This email address is being protected from spambots. You need JavaScript enabled to view it.) is seeking motivated students to pursue Ph.D. studies in areas related to secure financial technology, distributed ledger or blockchain and their interplay with big data, cryptography and quantum computing.

Requirements:

• an outstanding graduate in computer science, applied mathematics or a related field
• solid knowledge and skills in programming and networking protocols

Dr. Tianyang Wang at the computer science department is seeking highly self-motivated Ph.D. students to join his research group. The students will be fully funded and the main research areas include AI, machine learning, computer vision, data science, and biomedical informatics. Students will have a wide space to choose their focused topics.

Requirements:

• Familiar with Python programming and high proficiency in Pytorch
• Solid knowledge and understanding of machine learning and deep learning
• Math background is a plus and paper publication experience is preferred

If you are interested, please contact Dr. Wang via This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it. for a discussion.