
Research Post Doctoral Fellow
Children’s Hospital of Philadelphia
- Philadelphia, PA
- $20,800-110,400 per year
- Permanent
- Full-time
CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.About the LaboratoryDr. Wensi Wu at the Children’s Hospital of Philadelphia is recruiting a postdoctoral scholar or research associate scientist with expertise in machine learning methods for biomedical simulations. The candidate will work collaboratively with researchers from the Jolley Lab at the Children’s Hospital of Philadelphia and the PICSL-Pouch Lab at the University of Pennsylvania. The successful candidate will contribute to leading-edge projects focused on the development of novel machine learning methods for cardiovascular modeling.Primary Responsibilities and Expectations
- Lead the design, development, and implementation of machine learning algorithms.
- Evaluate machine learning model performance.
- Submit a 1-2 page progress report each month documenting details about the progress made, challenges faced, and plans for the upcoming month.
- Disseminate research findings through publications in top peer-reviewed journals and presentations at scientific conferences.
- Contribute to the intellectual community of the research group.
- Ph.D. in a relevant field (Computer Science, Biomedical Engineering, Mechanical Engineering, or related discipline).
- A high level of initiative and self-motivation to advance machine learning methods in biomedical research.
- Ability to work both independently and collaboratively with lab members.
- Proficiency in programming languages (e.g., Python, TensorFlow, PyTorch).
- Expertise in machine learning methodologies and state-of-the-art neural network architectures.
- Excellent organization skills and attention to detail.
- Excellent oral and written communication skills.
- Maintain a high standard regarding research integrity and rigor.