University of Pennsylvania RESEARCH INVESTIGATOR SR in Philadelphia, Pennsylvania
RESEARCH INVESTIGATOR SR Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply for this Job link/button.
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Reference Number 40-29390
Posted Job Title RESEARCH INVESTIGATOR SR
School Name Perelman School of Medicine
Posted to the Web 08/03/2018
Posted Job/Salary Grade RES
Employment Type Exempt
Position Type Full Time
Position Schedule 8-5
Position Length Contingent Upon Funding
Position End Date
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education. http://www.med.upenn.edu/
Conduct fundamental research in advanced and currently rapidly evolving areas such as image analysis, analytics, machine leaming, computer vision, and deep learning as related to goals of the section and help with raising research funds and preparing grant proposals submitted by the section. This includes developing new concepts, algorithms, methods, and tools to address image analysis problems encountered in various medical applications such as cancer, orthopedics, radiation treatment, and surgery. Help junior members of the section at the master’s, PhD, and post-doctoral level with scientific guidance and instructions on their assigned projects in translating larger goals into implementations. Direct assembling scientific resources developed by the group including software, data sets, etc. and manage their maintenance.
Required Qualifications: A PhD in Computer Science/ Electrical Engineering/ Bio-Medical Engineering/ Medical Physics with 5-7 years of experience in advanced medical image processing and analysis techniques including image segmentation, registration, and machine learning (particularly deep learning strategies); demonstrated ability to formulate conceptual solutions and their implementation to translate a given medical imaging application problem into an executable method of solution; 5-7 years of experience with software development (C, C++, Python, Linux, Windows, MATLAB, ShellScript); familiarity with TensorFlow tools for deep learning; familiarity with basic image processing operations such as interpolation, filtering, etc.; experience in statistical analysis of results.Preferred Qualifications: Familiarity with medical imaging principles underlying CT, MRI, dynamic MRI, and PET/CT; familiarity with 3D visualization principles; understanding of model-based strategies for medical image analysis, particularly those related to Automatic Anatomy Recognition techniques; experience with diverse medical imaging applications such as cancer, pediatric orthopedics, and obesity; familiarity with the use of and progrannning in the image analysis and visualization software CAVASS.
Affirmative Action Statement
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
Quick Link http://jobs.hr.upenn.edu/postings/38977
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