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About the Role:
The University of Virginia (UVA) is seeking a Research Scientist with expertise in image processing to join the Data Analytics Center (DAC) within Information Technology Services' Research Computing (RC).The DAC and RC support UVA's cutting-edge research by providing computational expertise and infrastructure. As part of the DAC team, you will collaborate with researchers across the university, processing and analyzing images or videos to support innovative research in an inclusive and diverse environment. Key Responsibilities:
- Engage in collaborative research projects with faculty, postdoctoral fellows, and graduate students, contributing expertise in image processing and analysis to advance the scientific goals of the university.
- Implement advanced image processing algorithms and techniques to extract meaningful information from various types of imaging data, including medical, biological, environmental, and industrial images.
- Use software tools and programming languages including Python, MATLAB, and ImageJ, to perform image analysis tasks, including image segmentation, feature extraction, pattern recognition, and 3D reconstruction.
- Evaluate and integrate new image processing methodologies and technologies to improve the accuracy, efficiency, and reproducibility of research outcomes.
- Develop and apply statistical and machine learning models to analyze imaging data, identify trends, and derive quantitative metrics that support scientific hypotheses and discoveries.
- Prepare and present detailed reports, visualizations, and publications that effectively communicate the findings and implications of image analysis projects.
- Collaborate with other members of the Research Computing team to develop and deliver comprehensive training programs that address the evolving needs of the research community.
- Stay current with the latest developments in the field of image processing and analysis, and actively participate in professional organizations, conferences, and workshops to enhance knowledge.
Minimum Qualifications:
- Advanced degree (Master's or higher) in computer science, electrical engineering, biomedical engineering, data science, or a related field that focuses on image processing and analysis.
- 2+ years of relevant work experience.
- Proficiency in programming languages such as Python, Matlab, C++, or Java, with a strong emphasis on image processing libraries and frameworks (e.g., OpenCV, scikit-image, ITK)
- Familiarity with high-performance computing environments or cloud-based platforms for large-scale image processing and analysis.
- Strong analytical and problem-solving skills.
- Excellent communication skills (both written and verbal).
- Ability to build collaborative relationships with diverse researchers and team members.
- US citizenship or permanent residency (due to high-security data environments).
Preferred Qualifications:
- PhD in computer science, electrical engineering, biomedical engineering, data science, or a related field.
- 4+ years of experience in academic research, including publications and work on externally funded grants.
- Experience with machine learning and deep learning techniques for image analysis, including the use of frameworks for deep learning in medical image analysis.
Employment Details:
- Full-time position with funding secured through June 2028 (continuation contingent on funding availability).
Salary range: 105k-125k How to Apply:
To apply, please visit UVA's job board at https://jobs.virginia.edu/us/en/ and search for Job ID: R0068333. Submit the following documents:
Application Deadline: February 14th , 2025 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.
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The Rector & Visitors of the University of Virginia
Jan 10, 2025