Two PhD Positions at SUNY Binghamton

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1. Research Assistantship (RA) for a PhDStudent in Mechanical Engineering

An NSF-fundedresearch assistant position is available for a new PhD student in MechanicalEngineering at the State University of New York (SUNY) at Binghamton. Theresearch 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 (xyong@binghamton.edu)or Dr. Paul Chiarot (pchiarot@binghamton.edu)for more information. This position is contingent on acceptance into theGraduate School at SUNY Binghamton.

2. Funded PhD Position in Materials Scienceand Engineering

A fundedposition is available for a new PhD student in Materials Science andEngineering at the State University of New York (SUNY) at Binghamton. We arelooking for enthusiastic and capable students to carry out analytical andcomputational studies on the behavior of complex fluids and polymeric materials.In particular, the current focus of the group encompasses modeling thefollowing phenomena: interfacial self-assembly of stimuli-responsivenanoparticles, electrospray of colloidal inks, droplet impact on soft surfaces,flow of multi-phase fluids in confined geometries, and behavior of functionalpolymer nanocomposites. The ideal candidate should have extensive C/C++ codingexperience. 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 (xyong@binghamton.edu) for moreinformation. This position is contingent on acceptance into the Graduate Schoolat SUNY Binghamton.