Description
The PET Center / Radiology Department at the Yale School of Medicine invites applications for tenure-track assistant professor positions in positron emission tomography (PET) imaging. Successful candidates will be expected to teach both undergraduate and graduate courses in related areas, develop a research program in collaboration with an interdisciplinary team of faculty and secure research funding.
Responsibilities may include the development, characterization and validation of novel imaging biomarkers with PET, pharmacokinetic modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative PET imaging.
Yale School of Medicine educates and nurtures creative leaders in medicine and science, promoting curiosity and critical inquiry in an inclusive environment enriched by diversity. We advance discovery and innovation fostered by partnerships across the university, our local community, and the world. We care for patients with compassion, and commit to improving the health of all people.
The Yale University PET Center located on Howard Avenue in New Haven, CT is a 22,000 sq. ft. facility established to advance the interests of Yale clinicians, scientists, and students in molecular imaging research. The Yale University PET Center is comprised of a technologically advanced radiochemistry laboratory engaged in the development and use of a rich set of PET radiopharmaceuticals labeled with the most common PET isotopes (11C, 15O, 13N, and 18F); and an imaging and data analysis section that oversees scanning procedures and optimizes data acquisition and analysis.
The Yale University PET Center collaborates with other School of Medicine departments to provide educational opportunities for doctoral and postdoctoral trainees. Collaborations with industry partners serve to advance the use of molecular imaging in new medication discovery and the development of new PET radiopharmaceuticals. Current research interests focus on disorders of the central nervous system (CNS), oncology, cardiology, and diabetes.
Qualifications
Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields. They should have experience and a track record of publications in two of the following areas:
- PET imaging physics, modeling of PET data and corresponding physical corrections.
- Tomographic image reconstruction including conventional reconstruction algorithms and penalized image reconstruction techniques.
- Radiotracer development, acquisition of experimental data including arterial blood and plasma as well as radiometabolite analysis using HPLC techniques, pharmacokinetic modeling including blood-based and reference region-based models, and use of numerical solvers for model fitting.
- Deep learning tools and methods for image denoising, reconstruction, segmentation and classification.
Besides a strong background in the listed areas, candidates should demonstrate the following technical skills:
- Experience with computer science and data science, image processing and analysis.
- Proficiency with programming languages such as C/C , Python, MATLAB, R, Linux scripting (e.g. bash).
- Strong verbal and written communication skills demonstrated by publication track record and experience with grant writing.
- Mentoring skills for undergraduate and graduate students, interns and visitors.
Besides the requirements listed above, additional desired qualifications include:
- Experience with MR imaging and MR image reconstruction and analysis.
- Experience with brain imaging and knowledge of biomarkers in Alzheimer's and other neurodegenerative diseases.
- Familiarity with optimization theory and applications to inverse problems.
Rank is dependent on the successful candidate’s qualifications.
Application Instructions
Application Instructions: Interested applicants should upload their CV and cover letter to the following website: apply.interfolio.com/191768. All final candidates will need to provide three letters of reference. Review of applications will begin immediately and continue until the position is filled.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.