Postdoctoral Research Fellow: Fluid Dynamics, Physical AI, and Biomedical Robotics

The Chronicle Of Higher Education, Inc.; Baltimore (MD); On-site; USD 63,000 - 100,000; Full time

Job summary

Johns Hopkins University in Baltimore invites applications for a Postdoctoral Research Fellow to advance a state-of-the-art digital twin for biofluid dynamics. This role focuses on CFD/FSI, GPU-accelerated computation, and high-performance computing to support real-time simulations for vascular devices and neurosurgical robotics.

The successful candidate will help develop two key components of the virtual testbed: CFD for blood flow simulation and biomechanical device-tissue interaction.

Qualifications

• PhD in Mechanical Engineering, Biomedical Engineering, Engineering Mechanics, or a closely related field.
• Demonstrated expertise in CFD and FSI modeling.
• Strong background in HPC, including GPU-native solver development (e.g., CUDA) and parallel computing.

Responsibilities

• Advance Fluid-Structure Interaction (FSI): Develop and expand GPU-native immersed boundary CFD framework for near-real-time multi-GPU simulations of device-flow-clot-wall interactions under pulsatile flow conditions.
• Multi-Physics Coupling: Bridge hemodynamics and tissue mechanics with a lightweight interface for bidirectional force exchange and geometric constraint handling between asynchronous solvers.

Skills

CFD

CUDA

HPC

Education

PhD in Mechanical Engineering or related field

Tools

CUDA toolkit

Job description

Salary

$63,480-$100,000

Johns Hopkins University: Whiting School of Engineering: Departmentof Mechanical Engineering

Description

We are seeking a highly motivated and talented PostdoctoralResearch Fellow to help develop a state-of-the-art digital twinin biofluid dynamics. This position lies at the intersection ofPhysical AI, high-fidelity computational fluid dynamics(CFD), and advanced biomedical robotics .

The successful candidate will contribute to the development of twokey components of our virtual testbed:

1. Computational Fluid Dynamics for Blood FlowSimulation
2. Biomechanical Simulation of Device-TissueInteraction

Together, these capabilities will support the high-throughput,low-latency simulation environment required for training foundationmodels and embodied AI systems for next-generation endovascularrobotic platforms in neurosurgery.

Core Responsibilities

• Advance Fluid-Structure Interaction (FSI):Develop and expand our GPU-native, sharp-interface immersedboundary CFD framework to enable near-real-time, multi-GPUsimulations of device-flow-clot-wall interactions underphysiologically realistic pulsatile flow conditions.
• Multi-Physics Coupling:Bridge hemodynamics and tissue mechanics by implementing alightweight coupling interface that supports bidirectional forceexchange and geometric constraint handling between asynchronoussolvers.

Qualifications

Required Qualificatons

• PhD in Mechanical Engineering, Biomedical Engineering,Engineering Mechanics, or a closely related field.
• Demonstrated expertise in Computational Fluid Dynamics(CFD) and Fluid-Structure Interaction (FSI)modeling.
• Strong background in High-Performance Computing (HPC),including GPU-native solver development (e.g., CUDA) and parallelcomputing.

The referenced salary range is based on Johns Hopkins University'sgood faith belief at the time of posting. The actual compensationoffered to the selected candidate may vary and will be based