Virtual Modeling of Airways using Magnetic Resonance Imaging
- Cincinnati Children's Hospital Medical Center
- Location: Cincinnati, OH
- Job Number: 7127578
- Posting Date: Mar 8, 2023
- Application Deadline: Open Until Filled
Job Description
The Bates Laboratory of "The Respiratory Aerodynamics Group" is looking to hire a talented Research Fellow/Associate who is passionate about scientific discovery and has a desire to be competitive at the highest level. Dr. Alister Bates studies airflow in patients with respiratory disease using virtual airway models based on medical images. This team simulates respiratory airflow in these airways using computational fluid dynamics (CFD) to determine how a particular patient’s airway anatomy is contributing to difficulties in breathing. The work specifically studies children with diseases including obstructive sleep apnea (OSA), tracheomalacia, and subglottic stenoses.
Project deliverables include:
1) Creating virtual models of the upper airway from medical imaging.
2) Running simulations of respiratory airflow in the airway of children.
3) Writing scientific papers and presenting work at scientific conferences.
QUALIFICATIONS:
• A Ph.D. in biomedical engineering, aerodynamics, computer science, or related fields.
• The preferred candidate has demonstrated a track record of publications and has a strong background in related research.
• The ideal candidate will have experience in CFD, medical image analysis of CT or MRI, coding (e.g., Python, Matlab, Java, C++), deep learning programing experience, experimental aerodynamics (e.g., PIV), and/or translation of data from engineering to clinical projects
Please submit a cover letter describing your research interest, CV, and contact information for 2 references to Dr. Alister Bates: [email protected].
Project deliverables include:
1) Creating virtual models of the upper airway from medical imaging.
2) Running simulations of respiratory airflow in the airway of children.
3) Writing scientific papers and presenting work at scientific conferences.
QUALIFICATIONS:
• A Ph.D. in biomedical engineering, aerodynamics, computer science, or related fields.
• The preferred candidate has demonstrated a track record of publications and has a strong background in related research.
• The ideal candidate will have experience in CFD, medical image analysis of CT or MRI, coding (e.g., Python, Matlab, Java, C++), deep learning programing experience, experimental aerodynamics (e.g., PIV), and/or translation of data from engineering to clinical projects
Please submit a cover letter describing your research interest, CV, and contact information for 2 references to Dr. Alister Bates: [email protected].