Openings

Multiple PhD positions with full financial support are available in my lab. If you are interested in adaptive AI computing and its application in health care, you are encouraged to apply. Particular interested & ongoing research projects include:

• Adaptive AI
• Identifiable Hybrid Modeling
• Physics-Informed Deep Learning
• Biomedical Image Analysis
• Cardiac Electrophysiology

Please find more details in my thesis and my publication list.

Prospective Students

I am looking for students broadly interested in the development of cutting-edge adaptive machine learning methods with applications in health care. Students with a background in computer science, computer engineering, electrical engineering, applied mathematics / statistics, or related areas are welcome to apply. Applicants are encouraged to send me your CV, transcripts, and a brief discription of research interest to Xiajun [dot] Jiang [at] memphis [dot] edu with the subject line “Prospective PhD Student”.

• If you are a current or admitted student at UM, please email me following the instruction above.

• If you are not yet a student at UM and would like to pursue a PhD under my guidance, please apply to our PhD program in Computer Science and mention my name in your statements and applications. Please check admission requirements from the Graduate School for more details. The hard deadline for Spring admission is Dec. 1, 2024.

Collaborations

I am also open to research collaboration with students and faculty both within UM and elsewhere. If you are interested in collaborating with me and my group, please email me with a brief description of your research interests and background.

About University

University of Memphis (UofM) is a public research university in Memphis, Tennessee. Founded in 1912, the university has an enrollment of more than 22,000 students. UofM is classified among “R1: Doctoral Universities – Very High research activity”. The Department of Computer Science has 24 full-time faculty (including 2 IEEE Fellows) and 44 PhD students. According to the CSRankings data, the department is ranked #108 in the USA, while the US News 2024 rankings place our computer science program at #163 and our computer engineering program at #136. The department is well-equipped with high-end computational resources, including GPU servers. The university’s HPC Unit provides a GPU cluster with 20 GPUs (12 V100 and 8 A100), and our department is currently building a new cluster featuring 88 GPUs (8 H100, 32 RTX 6000 Ada, and 48 RTX 5000 Ada).