Opportunities

NEW! We are actively recruiting postdoctoral fellows to our lab.

We welcome inquiries from trainees looking to work directly in our lab and are enthusiastic about establishing new collaborations with other researchers.


Postdoctoral Fellowships

Now Seeking Candidates for Postdoctoral Fellowships in Computational Science, Biomedical Imaging, and other Positions.

We have multiple openings for Postdoctoral Fellows and other positions in the Advanced Cardiovascular Imaging group at the University of Pennsylvania. The group takes a teamwork-oriented focus to accomplish next generation biomedical imaging and bioinformatics research. The candidates will develop new computational and engineering technologies for discovery of biomedical imaging traits in humans. We also seek additional candidates to develop new metabolic imaging technologies. We employ a highly translational and bench-to-bedside approach, rapidly iterating on discoveries, and patient-oriented research.

 

1. Postdoctoral fellow in Multiomics Studies of Genetics, Biomedical Imaging Traits and Disease

Job duties and responsibilities

  • The postdoctoral fellow will lead a project to develop machine learning techniques for biomedical imaging, development of bioinformatics techniques for multiomics data.
  • Work with an interdisciplinary team of computational scientists, physicists, physicians, geneticists, and statisticians.
  • Write research articles and grants, prepare and organize data, graphics and presentations upon request.
  • Communicate findings to research fellows and other stakeholders with diverse expertise and backgrounds.
  • Employ conventional and innovative computational imaging methods.
  • Proactively mentor other lab members as necessary including graduate students.

 

Education requirements for computational scientists

  • M.Sc. or Ph.D. in machine learning, computer science, biomedical imaging, physics, bioengineering, computer science, electrical engineering, or mechanical engineering.
  • Experience developing machine learning algorithms (state-of-the-art) convolutional neural networks and packages (e.g. TensorFlow)
  • Experience with cloud compute and massively parallel or distributed computing.
  • Experience with Linux, Python or R.
  • Highly motivated, have excellent interpersonal and communication skills, and prioritize multiple tasks.

 

2. Postdoctoral Fellows for a Program in Cardiac MRI/MRS

Job duties and responsibilities

  • The postdoctoral fellow will lead a project to develop new techniques for cardiovascular magnetic resonance imaging (MRI) or magnetic resonance imaging spectroscopy (MRS).

  • Experience with programming magnetic resonance imaging pulse sequences or image reconstruction algorithms. Experience with Siemens IDEA or ICE is a plus.
  • Write research articles and grants, prepare and organize data, graphics and presentations upon request.
  • Communicate findings to research fellows and other stakeholders with diverse expertise and backgrounds.
  • Employ conventional and innovative computational imaging methods.
  • Proactively mentor other lab members as necessary including graduate students.
  • plus. The applicant should be highly motivated, have excellent interpersonal and communication skills, and prioritize multiple tasks.

 

Education requirements for computational scientists

  • M.Sc. or Ph.D. in machine learning, computer science, biomedical imaging, physics, bioengineering, computer science, electrical engineering, or mechanical engineering.
  • Experience developing machine learning algorithms (state-of-the-art) convolutional neural networks and packages (e.g. TensorFlow)
  • Experience with cloud compute and massively parallel or distributed computing.
  • Experience with Linux, Python or R.
  • Highly motivated, have excellent interpersonal and communication skills, and prioritize multiple tasks.

 

Applicants are requested to submit their resume, or CV, and a note outlining research interests, experience, and qualifications to Dr. Walter Witschey at witschey@pennmedicine.upenn.edu

Advanced Cardiovascular Imaging Lab

The Advanced Cardiovascular Imaging Lab is a multidisciplinary group with with expertise in biomedical imaging, multiomics, machine learning, and cardiovascular imaging. The research is developed to the development of new technologies for biomedical imaging informatics, computed tomography, magnetic resonance imaging. The lab has access to state-of-the-art imaging equipment, including a Siemens 7 T Terra system, cloud-computing resources, and genetic sequencing systems.

About the University of Pennsylvaniaupenn

 The University of Pennsylvania is a world-renowned leader in education, research an innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News and World Report Survey. Located in Philadelphia, Pennsylvania, it is home to a vibrant urban setting and close-knit community of academic researchers. Women and applications of underrepresented minorities are strongly encouraged to apply.


Trainees

We welcome interested graduate students, fellows, and postdoctoral researchers to contact Dr. Walter Witschey (witschey@pennmedicine.upenn.edu) about available fellowships in Bioengineering and Radiology. Dr. Witschey is a member of the Department of Radiology and Bioengineering Graduate Group and can advise students in Radiology and Bioengineering.

Numerous training, educational opportunities and generous health insurance are available through Biomedical Postdoctoral Programs at Penn.

Research Assistants

We are currently invite interested candidates to apply for research assistant position in CorLab. The applicant will be expected to pursue research in the assessment of cardiovascular disease, with a strong emphasis on cardiovascular MRI.

Candidates must have a bachelor’s degree in engineering, physics, biology, chemistry or a related discipline. The candidate will be expected to be involved in all aspects of research, including preparation of manuscripts for publication. Knowledge of animal handling techniques, including, but not limited to, anesthesia, blood collection, intubation and catheterization is recommended for the position. Expertise in image acquisition and analysis is required to collect, quantify and summarize medical image data.

Applicants are requested to submit their CV along with at least 2 contacts for references.


Collaborations

If you’re interested in cardiovascular MRI, we can help you and provide expertise in pulse sequence design, protocols, image reconstruction and data analysis.

  • Cine MRI and real-time cine MRI
  • Tissue characterization (T1 mapping, extracellular volume mapping, MOLLI pulse sequence)
  • Modified Look-Locker (MOLLI pulse sequence)
  • Relaxation time mapping / tissue characterization (T1rho, T2, T2* pulse sequences)
  • Myocardial strain imaging (DENSE, SPAMM pulse sequences)
  • First-pass perfusion
  • Ex vivo cardiovascular diffusion MRI
  • Flow quantification (4D Flow, phase-contrast MRI pulse sequences)

For Penn collaborators, please contact Dr. Witschey (witschey@pennmedicine.upenn.edu) for more information about how to add cardiovascular MRI to your research.

For external collaborators, if you’re interested to use our sequences (i.e. cardiovascular T1rho or real-time MRI), please also contact Dr. Witschey (witschey@pennmedicine.upenn.edu) to arrange a material transfer agreement between Penn and your institution.


Working at Penn

The University of Pennsylvania is an equal opportunity employer and candidates of underrepresented minorities are particularly encouraged to apply. The University of Pennsylvania values diversity and seeks talented students, faculty and staff from diverse backgrounds. The University of Pennsylvania does not discriminate on the basis of race, sex, age, sexual orientation, gender identity, religion, color, national or ethnic origin, disability or status as a Vietnam Era Veteran or disabled veteran in the administration of educational policies, programs or activities; admissions policies; scholarship and loan awards; athletic or other University administered programs or employment. Questions or complaints regarding this policy should be directed to: Executive Director, Office of Affirmative Action and Equal Opportunity Programs, Sansom Place East, 3600 Chestnut Street, Suite 228, Philadelphia PA, 19104-6106 or by phone at (215) 898-6993 (voice) or (215) 898-7803.