Post Doc in Biomedical Engineering
Rutgers The State University of New Jersey
United States

Post Doctorate Associate (2 positions available)

Department Engn - Biomedical Engineering

Salary Commensurate With Experience

Posting Summary

In this position, the post doctorial associate will use robotics driven by machine learning / artificial intelligence to explore the self-assembly of polymers and their interactions with proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with an automated workflow, provides an ideal platform for designing advanced nanomaterials that are perhaps too complex to rationally design. This project is highly cross-disciplinary and requires expertise in polymer synthesis/characterization, macromolecular characterization, enzymes, and basic assays. Additional experience in machine learning, programming in Python, small-angle x-ray/neutron scattering, dynamic/static light scattering, and/or surface plasmon resonance (SPR) are ideal. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. Due to the multidisciplinary nature of the project, the candidate will be expected to collaborate heavily with others in the Gormley Lab as well as other labs at Rutgers and Princeton University. We are hoping to hire two post doctoral associates for a set of projects. The listed projects are fully supported by NIH and NSF grants.

Posting Number 21FA1019

Posting Open Date 09/06/2021

Posting Close Date 12/06/2021

Minimum Education and Experience

PhD level is required because creative experimental design is inherently part of the development process.

Required Knowledge, Skills, and Abilities

PhD in biomedical engineering, chemical engineering, chemistry, computer science, or related fields. Familiarity with basic lab practices and safety. Willing to consider candidates who are computational only, as long as they see themselves applying machine learning tools to physical problems in macromolecular chemistry. In this case, others in the lab will collect data to validate models.

Equipment Utilized

UV-Vis plate reader, dynamic light scattering (DLS), chromatography, and other basic equipment. Familiarity with SAXS/SANS is also ideal.

Physical Demands and Work Environment

Expect to spend several hours per day in the lab, which involves standing for long periods.

Quick Link to Posting

Campus Rutgers University-New Brunswick

Home Location Campus Rutgers University - New Brunswick

Posting Specific Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents
  1. Resume/CV
  2. List of Professional References (contact Info)
Optional Documents
  1. Cover Letter/Letter of Application

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