Postdoctoral Research Scientist
New York, NY
ID: 7111065 (Ref.No. HR-4767)
Posted: September 19, 2022
Job DescriptionThe Department of Surgery, Division of Cardiac, Thoracic & Vascular Surgery at Columbia University Vagelos College of Physicians and Surgeons is accepting applications for a Postdoctoral Research Scientist. We seek a highly motivated, meticulous, highly organized individuals who enjoy working in a team while concomitantly desiring to pursue their own ideas in a very supportive environment. The individual will be train in laboratory functions and development of a research program that focuses on translational research and basic science applied to pediatric cardiac surgery. Candidate should be passionate about using their research and technical skills for to improve the outcomes of patients with congenital heart diseases. Our lab and collaborating partners combine expertise in tissue biomechanics, polymer science, mechanical engineering, biomedical engineering, small and large animal models, medical device development, prototyping, clinical trial and patent writing.The individual will spend time in two laboratories: Kalfa Lab on the medical campus (Department of Surgery) and Kysar lab on the Morningside campus (Department of Mechanical Engineering). This opportunity focuses on the development of an expandable heart valved device.
Requirements:PhD or MD/PhD
Native or high-level English speaking/writing
Strong Article/Grant writing skills
Proven record in design optimization (e.g. publications, conference presentations, thesis) as related to topology and/or sizing and/or shape optimization of structures.
Proficiency in computer programming.
Strong background in the finite element method and mechanics of materials.
BS and/or MS in Polymer Science and/or Mechanical Engineering and/or Biomedical Engineering
Previous experience in research projects related to heart valves, medical device development and/or biomaterial development
Knowledge in heart valve biology.
Knowledge in constitutive modeling of polymeric materials and/or soft materials are especially welcomed.
Knowledge of commercial software in Computer Aided Design (e.g. SolidWorks or other) and Finite Element Methods (e.g. LS-Dyna or other) is especially welcomed.
In particular knowledge of python scripting would be considered a significant advantage.
Knowledge of gradient-based or heuristic-based optimization.
Knowledge of parallel computing using OpenMP and/or MPI would be considered an advantage.