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Job ID: 141996

Multiple Postdoc and PhD Open Positions in Polymer Modeling and Machine-Learning
University of Connecticut


Date Posted May 17, 2020
Title Multiple Postdoc and PhD Open Positions in Polymer Modeling and Machine-Learning
University University of Connecticut
Storrs, CT, United States
Department Mechanical Engineering
Application Deadline Open until filled
Position Start Date Available Immediately
 
 
  • Graduate Student
    Post-Doc
  • Polymer Science
    Mechanical Engineering
    Material/Metallurgy
    Engineering Mechanics
    Chemical/Petroleum
 
 

Postdoc Open Position

Postdoc position with financial support (up to 3 years) is immediately available in the Department of Mechanical Engineering, University of Connecticut (UConn).

Required Degree:

Ph.D. in Engineering Mechanics, Chemical, Mechanical, or Civil Engineering, Material Science, Condense Matter Physics, or Computational Chemistry.

Required Skills:

  • Micromechanics modeling: sufficient familiarity with lower scale methods to take advantage of emergent phenomena accessible from molecular dynamic simulations and coarse-grained techniques
  • Broad knowledge of Computational Material and Polymer Physics
  • Extensive experience in multiscale modeling which should include the integration of Molecular Dynamic Simulation, Coarse-grained modeling, and Continuum Mechanics
  • Experience conducting computational analysis in multi-physics context
  • Polymer Physics — Solid-state mechanics
  • Knowledge of constitutive models for polymers or their composites

Preferred Optional Qualifications:

  • Polymer Physics — thermodynamics and statistical mechanics
  • Experience with software on massively parallel computer systems (such as LAMMPS, GROMACS)
  • Applied Math, Applied Physics, Computational Sciences: optimization, numerical analysis, numerical linear algebra
  • Familiarity with MATLAB, R, Python or other scripting languages
  • Ability to work independently and multi-task effectively
  • Demonstrate understanding of projects from both technical and end-user perspectives
  • Excellent communication skills; ability to understand and synthesize researcher’s experimental data
  • Flexible and willing to adapt to changes in priorities as necessary in a dynamic and fast-paced environment
  • Demonstrated leadership abilities and team player attitude, as well as the ability to accomplish tasks independently under minimal direction and supervision
  • Willing to learn new technologies
  • Strong attention to detail
  • Machine Learning experience would be a major plus

Interested candidates should send a cover letter, one-page research statement, CV, 3 representative publications and the contact information of at least three professional references to Dr. Ying Li at ying.3.li@uconn.edu.

PhD Open Positions

PhD positions with financial support in the form of research assistant/teaching assistant are available in the Department of Mechanical Engineering, University of Connecticut (UConn).

This specific position is offered by the laboratory of computational materials design in the department. GOAL of Research Lab: Multiscale and multiphysics modeling to computationally design advanced polymeric materials, with emphasis on energy absorption, sustainable energy solution and biomedical application, to provide scientific insights into their chemistry-structure-property relationships. The research team will focus on the development of novel computational methods with data-driven techniques, and apply these methods for extra-large scale simulations to access the experimentally unapproachable phenomena.

Required Qualifications:

§ A BS in Engineering Mechanics, Civil Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, or a closely related area. MS with project experience and good publication is a plus.

§ Programming skills in MATLAB, Fortran, C/C++, or Python. Experience in parallel computing is a plus.

§ Experience in running molecular dynamics simulations and finite element analysis.

§ Broad knowledge of computational material science and polymer physics will be a plus.

About UConn: UConn is ranked among top 25 public schools in United States by US News. The university has been recognized as a Public Ivy, defined as a select group of publicly funded universities considered to provide a quality of education comparable to those of the Ivy League. The State of Connecticut is home to a large number of international, high technology companies. The University campus is located in a beautiful area of New England, with a moderate cost of living and proximity to major cultural, recreational and urban centers of the Northeast. The University community affords residents a rich diversity of cultural, athletic, artistic and historic experiences; affordable quality housing and top schools for families.

PI’s info: Dr. Ying Li joined the University of Connecticut in 2015 as an Assistant Professor in the Department of Mechanical Engineering. He received his Ph.D. in 2015 from Northwestern University, focusing on the multiscale modeling of soft matter and related biomedical applications. His current research interests are: multiscale modeling of biological system, computational materials design, mechanics and physics of soft matter, machine learning-enabled polymer design. Dr. Li’s achievements in research have been widely recognized by fellowships and awards including Haythornthwaite Foundation Research Initiation Grant from ASME (2019), Best Paper award from EMI Fluid Dynamics Technical Committee (FDTC) (2018), ASME Global Congress on NanoEngineering for Medicine and Biology (2015), International Institute for Nanotechnology Outstanding Researcher Award (2014), Chinese Government Award for Outstanding Students Abroad (2012) and Ryan Fellowship (2011). He has authored and co-authored more than 80 peer-reviewed articles, including Physical Review Letters, ACS Nano, Biomaterials, Nanoscale, Macromolecules, Journal of Mechanics and Physics of Solids and Journal of Fluid Mechanics etc. He has been invited as reviewer for more than 60 international journals, such as Nature Communications, ACS Nano, Advanced Functional Materials, Carbon, Macromolecules, Journal of Physical Chemistry, ACS Applied Materials & Interfaces, Nanoscale, Chemical Communications and Nanomedicine. He currently serves as the Topic Editor of MDPI-Polymers, an international leading journal in polymer field.

Prof. Li’s full publication list can be accessed at: https://scholar.google.com/citations?user=FgYIdZwAAAAJ&hl=en

Interested candidates should send a CV, transcripts, TOEFL/GRE scores and the contact information of at least three professional references to Dr. Ying Li at ying.3.li@uconn.edu.


 
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