Postdoctoral associate (UVa): imaging and data science
The Departments of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia seek Research Associates to work in the laboratory of Dr. Gustavo Rohde (imagedatascience.com) to perform research on computational predictive modeling, and image and signal analysis with applications to biomedical imaging, cancer detection, mobile and remote sensing, and others. The Research Associate will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and/or bioinformatics.
Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g. papers, patents, presentations, etc), and have the ability to implement computer algorithms. To apply, visit https://jobs.virginia.edu/applicants/Central?quickFind=84835. Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled.
The University of Virginia is an affirmative action/equal opportunity employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.
The laboratory of Dr. Gustavo Rohde at University of Virginia seeks students interested in data sciences, machine learning and image and signal processing for health, biometric, remote and mobile sensing, and other applications. Specific topics of interest include predictive modeling, hierarchical learning, modeling, visualization, signal/image classification and reconstruction. Multiple positions are available through the Department of Biomedical Engineering or the Department of Electrical and Computer Engineering, are fully funded (both tuition and stipend included) and will remain open until they are filled. Interested applicants should submit their application through the online system and send an email containing CV and statement of interest to firstname.lastname@example.org.
Undergraduate and MS students:
Undergraduate and MS students in the departments of Biomedical Engineering, and Electrical and Computer Engineering, who are looking for apprendiceships in signal processing, imaging, and data sciences are encouraged to contact email@example.com expressing their interests.