Post Doctoral Research Associate

The Xie Lab at the University of Virginia School of Data Science is seeking a highly motivated and self-driven postdoctoral researcher in the field of artificial intelligence (AI) in healthcare.

What you will do:

Data-Driven Smart Healthcare: Develop advanced machine learning models to extract and analyze data from various medical sources, improving healthcare outcomes through innovative diagnostic and therapeutic tools.

• Implement and optimize machine learning algorithms, such as transformers, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), and graph neural networks (GNNs).

• Analyze time-series signals such as ECG and EEG, and imaging data such as CT scans and MRIs.

• Focus on disease classification, lesion localization, and other critical diagnostic features.

Physics-Informed Machine Learning for Modeling Complex Physics Systems: Enhance the predictive capabilities of physics system models using cutting-edge machine learning techniques that integrate domain knowledge of physics.

• Develop and apply novel physics-informed neural networks to tackle forward and inverse problems in complex cardiac systems. Focus on geometry analysis, neural network design, and feature embedding.

• Other relative research directions: physics-informed Gaussian processes, active learning, uncertainty quantification.

• Collaborate with interdisciplinary teams to design, implement, and validate models.

Responsibilities also include the development of codes, literature review, new methodology development, dissemination of research through publications, and mentoring PhD students. This multidisciplinary and highly collaborative environment within and without the school provides an exceptional opportunity for candidates to thrive and become sought-after experts in machine learning with numerous opportunities in academic, government, and industry positions.

Qualifications:

• Effective written and verbal communication skills.

• PhD degree in computer science, engineering, or related fields, to be completed by the start date of the appointment.

• Robust mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, andstatistics/probability.

• Proficient computer programming skills in languages such as Python.

This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding. Salary is commensurate with education and experience.

This position will remain open until filled. The University will perform background checks on all new hires prior to employment.

TO APPLY:Please visithttps://jobs.virginia.eduand search for R0064008

Complete an application online and attach:

• Cover letter detailing your experience, qualifications, and interest in this position

• Up-to-date CV

• A summary of your most significant research accomplishments (up to 500 words)

• Names and contact information of three references

Internal Applicants: Please apply through your Workday Home page, search "Find Jobs", and search for R0064008

***Please note that youMUSTuploadALLdocuments into the CV/Resume box.

Applications that do not contain all of the required documents will not receive full consideration. ***

For questions about the application process please contact Rhiannon O'Coin, Senior Academic Recruiter, at rmo2r@virginia.edu.

Interested candidates are encouraged to contact Prof. Jianxin Xie (hcf7fd@virginia.edu) for more information. The Xie's Laboratory is committed to equal student employment opportunity regardless of race, ethnicity, color, national origin, religion, sex, gender identity, age, marital status, disability, or other factors that are irrelevant to the advertised position. If you have a special need for the interview, please do not hesitate to indicate required accommodations.

PHYSICAL DEMANDS: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex, pregnancy, sexual orientation, veteran or military status, and family medical or genetic information.