The Computational Soft Matter Laboratory (https://farokhirad.com) in the Department of Mechanical Engineering (https://mie.njit.edu/) 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 email@example.com with the subject line "Ph.D. Application" along with a short cover letter, CV, unofficial transcripts, and publications (if any). Review of applications will start immediately and continue until the position is filled. At the next stage, GRE and TOEFL are required.
About the research in drug delivery
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.
About NJIT: NJIT is one of the US leading public research universities, with 130 years of history. NJIT is located in the vibrant University Heights district of downtown Newark, NJ, just 20 minutes from Manhattan, NY by train.