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Job Record #17185
TitlePhD Position in Mechanical Engineering at NJIT for Fall 2021/Sp
CategoryPhD Studentship
EmployerNew Jersey Institute of Technology
LocationUnited States, New Jersey, Newark
InternationalYes, international applications are welcome
Closure Date* None *
The Computational Soft Matter Laboratory ( in the 
Department of Mechanical Engineering ( at the New Jersey 
Institute of technology has one Ph.D. position available for Fall 2021 or Spring 
2022. Ideal candidate will conduct computational researches at the interface of 
engineering, materials, biophysics and biochemistry for engineered nanoparticles-
based drug delivery systems. 

An ideal candidate is expected to have an earned B.S. and M.S. degree in Chemical 
and Materials Engineering, Mechanical Engineering, Bioengineering, Biomedical 
Engineering or a closely related field. 

The preferred qualifications include:

• Background in biomaterial, fluid flow, transport phenomena in biological 
systems, and statistical mechanics

• Experience in developing numerical models and computation algorithms 

• Experience with scientific programming in Fortran, C/C++, Matlab, Python, or 
other object-oriented programming languages is a PLUS
• A good background in high-level programming and high-performance computing (HPC) 
is a huge advantage.

• Strong interest and self-motivation to perform cutting-edge research in real-
world engineering and to publish scholarly papers.

Interested individuals should first send an email to Dr. Samaneh Farokhirad 
at with the subject line "Ph.D. Application" along 
with a cover letter and CV and transcripts. Review of applications will start 
immediately and continue until the position is filled.

About the research in nanoparticles-based drug delivery systems
Conventional means of drug administration often require high dosages or repeated 
administration, which can lower efficacy and patient compliance and result in 
severe side effects, including toxicity. The central aim of our research is the 
development of multiscale modeling techniques, using coupling of simulation and 
experiment, for the design of efficient drug delivery systems, including 
membranes, nanoparticles, and liposomes, to prevent, manage or treat diseases. To 
effectively design nanoparticles for selective targeting, new strategies beyond 
the conventional paradigm must be explored. We are investigating how smart 
nanoparticles-based drug delivery systems can be utilized to efficiently deliver 
functionalized nanoparticles to the diseased sites while avoiding healthy sites. 
We study how the interplay between NPs physicochemical features and cell 
biophysical properties affects nanoparticle targeting and internalization to 
rationally design nanoparticles for specific and efficient cell targeting.
In our group, you will have plenty of learning opportunities, from developing 
novel computational frameworks and numerical methods to the fundamental 
understanding of nanoparticle-based targeted drug delivery systems. Also, you will 
have opportunities to collaborate with experimental and theoretical research 
groups at NJIT.

Contact Information:
Please mention the CFD Jobs Database, record #17185 when responding to this ad.
NameSamaneh Farokhirad
Email ApplicationYes
Record Data:
Last Modified07:03:32, Tuesday, June 15, 2021

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