Opening

Postdoc Research Associate Position in Complex Fluids

The Complex Fluids and Multiphase Transport Lab (http://ysun.mem.drexel.edu/) is looking for a well-qualified postdoctoral research associate in the area of experimental complex fluids and interfacial phenomena. Our lab conducts research in fundamental interfacial and thermo-fluid sciences and applying them to enable scaling additive manufacturing and effective thermal management. The candidate will conduct micro-scale experiments, collaborate with soft/biomaterials and multiscale modeling experts, as well as mentor graduate students in complex fluids and two-phase heat transfer. The position is for two years. Prior experience in advanced imaging techniques and scaling analysis is highly desired.

Applicants should have a Ph.D. degree in Mechanical Engineering or Chemical Engineering and possess excellent communication skills. Previous experience in several of the following areas is expected:

  • Phase change and interfacial phenomena
  • Advanced imaging techniques (e.g., high-speed interferometry, particle image velocimetry)
  • Drop impact/wetting/evaporation
  • Colloidal self-assembly
  • Structure-enhanced surfaces

The review of applications will begin immediately with a desired start date in July 2019 or earlier. The position will remain open until filled. Interested applicants should email a single PDF file containing a detailed CV and the contact information for two references to:

Professor Ying Sun (ysun@coe.drexel.edu) with subject line “Postdoc Position: Complex Fluids”.

 

Postdoc Research Associate Position in Multiscale modeling

The Complex Fluids and Multiphase Transport Lab (http://ysun.mem.drexel.edu/) is looking for a well-qualified postdoctoral research associate in the area of multiscale modeling of heat/mass/fluid transport with phase change and electrochemistry. The lab led by Professor Ying Sun conducts research in fundamental thermo-fluid and interfacial sciences and applying them to enable effective thermal management and efficient energy storage systems. The candidate will conduct continuum, meso and atomistic level phase change and interfacial transport simulations, collaborate with experimentalists and deep learning experts, as well as mentor graduate students. The position is for two years. Prior experience in Python, Matlab, C/C++ with MPI, CUDA, and TensorFlow is highly desired.

Applicants should have a Ph.D. degree in Mechanical Engineering with a focus on thermal-fluid sciences and possess excellent communication skills. Previous experience in several of the following areas is expected:

  • Phase change and interfacial phenomena
  • Battery modeling
  • Numerical techniques for moving boundary problems
  • Molecular dynamics
  • Lattice Boltzmann method
  • High performance computing with MPI and CUDA
  • Machine learning algorithms

The review of applications will begin immediately with a desired start date in July 2019 or earlier. The position will remain open until filled. Interested applicants should email a single PDF file containing a detailed CV, including the contact information for two references, to:

Professor Ying Sun (ysun@coe.drexel.edu) with subject line “Postdoc Position: Multiscale Modeling”.