1. Research Assistantship (RA)for a PhD Student in Mechanical Engineering
An NSF-funded research assistant position is available for a new PhD studentin Mechanical Engineering at the State University of New York (SUNY) atBinghamton. The research is focused on materials printing using a hybrid inkjet-electrospraytechnique. The goal is to print highly-ordered monolayers of functional nanoparticleinks at high throughput. The student’s research will be experimental; however, closecollaboration is expected with faculty and students in materials science andcomputational physics. Specific tasks include, but are not limited to: (1) nanoparticleink synthesis, (2) mechanical/fixture design and assembly, (3) materialsprinting using electrospray and inkjet, (4) characterization of deposit structureusing microscopy, and (5) data analysis and interpretation. Strong theoretical background in fluid dynamics,interfacial phenomena, and colloids self-assembly is highly desirable.Experience in atomization, materials printing, and/or microscopy is anadvantage. The position provides an annual stipend and full tuition support.Applicants should contact Dr. Xin Yong (email@example.com
)or Dr. Paul Chiarot (firstname.lastname@example.org
)for more information. This position is contingent on acceptance into theGraduate School at SUNY Binghamton.
2. Funded PhD Position inMaterials Science and Engineering or Mechanical Engineering
A funded position is available for a new PhD student in MaterialsScience and Engineering or Mechanical Engineering at the State University ofNew York (SUNY) at Binghamton. We are looking for enthusiastic and capablestudents to carry out analytical and computational studies on the behavior ofcomplex fluids and polymeric materials. In particular, the current focus of thegroup encompasses modeling the following phenomena: interfacial self-assemblyof stimuli-responsive nanoparticles, electrospray of colloidal inks, dropletimpact on soft surfaces, flow of multi-phase fluids in confined geometries, andbehavior of functional polymer nanocomposites. The ideal candidate should have C/C++coding experience. Knowledge of either statistical mechanics, fluid dynamics,interfacial phenomena or polymer physics is desirable. A background inUnix/Linux, parallel computing, and specific simulation techniques (molecularsimulations, dissipative particle dynamics, or lattice Boltzmann method) is anadvantage. Applicants should contact Dr. Xin Yong (email@example.com
) for moreinformation. This position is contingent on acceptance into the Graduate Schoolat SUNY Binghamton.
PS: We are still accepting applications and will start the review process in the end of December.