Post Doctoral Associate at University of Pittsburgh in Pittsburgh, Pennsylvania

Job Description:

Post Doctoral Associate
Med-Radiology - Pennsylvania-Pittsburgh - (25000036)

Postdoctoral scholar

Department of Radiology, University of Pittsburgh

We are seeking a highly motivated postdoctoral scholar to join our group of physicists, radiologists, engineers, and computer scientists dedicated to advancing medical imaging research. The primary focus of our group’s endeavors is quantitative image analysis and artificial intelligence (AI), with a specific emphasis on pioneering AI algorithms for image analysis to facilitate and optimize early disease screening, diagnosis, and treatment.

Ideal candidates should possess a PhD (or equivalent) in computer science, mathematics, engineering, or other related areas with an emphasis on computer vision, computer graphics, image processing, pattern recognition, or data mining. We are especially interested in applicants with a strong background and proven publication record in medical image analysis. Effective oral and written communication skills are essential. Successful applicants will integrate into a dynamic, collaborative research environment, collaborating closely with applied and clinical investigators with different backgrounds on a wide variety of projects.

Given our proximity to Carnegie Mellon University (CMU), potential candidates have the opportunity to leverage existing collaborations or establish new ones with world-leading machine learning experts at CMU. We encourage candidates to pursue extramural research grants independently, supporting their evolution into independent investigators through mentorship on grant writing, publications in top journals, and providing opportunities to attend career development seminars/workshops from the university and national organizations.

Qualifications

• -Ph.D. in physics, engineering, computer science/engineering, or a related field

• -Self-motivated with a passion for research

• -Effective writing and communication skills.

Preference is given to those with experience in

• -Quantitative image analysis

• -Artificial intelligence

• -A strong publication record.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

Assignment Category: Full-time regular
Campus: Pittsburgh
Required Attachments: Cover Letter, Curriculum Vitae

Assignment Category Full-time regular

PI259679673

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