Research Associate in Chemical Engineering
About The Position
We are seeking a Postdoctoral Research Associate (Postdoc) to develop a deep learning pipeline aimed at benchmarking alternative methods for representing proteins and protein surfaces. The Postdoc will join Dr. Camille Bilodeau’s research group in the Department of Chemical Engineering at the University of Virginia and will collaborate closely with research partners within the department and at other institutions to lead and contribute to projects involving developing machine learning methods to predict protein properties, using molecular simulations to generate training data, and constructing software pipelines to interface the machine learning or molecular models with transport models.
Requirements
- Ph.D. in chemical engineering, biomedical engineering, computer science, or a closely related field by the appointment start date.
- Expertise in deep learning
- Expertise in molecular simulations
- Expertise in biophysics of proteins
- Expertise in Python-based coding/software development
- Ability to conduct independent research
- Ability to communicate effectively across disciplinary boundaries
- Ability to work collaboratively with academic, government, and community partners
Nice To Haves
- Experience mentoring students
Responsibilities
- Develop a python-based pipeline to generate machine learning inputs from protein sequence/structure data
- Develop a Pytorch-based pipeline to predict the properties of proteins based on a wide array of protein representations including both standard and custom representations
- Perform large scale molecular simulations to generate training data for deep learning models
- Construct an open-source python-based software package that allows pretrained models to be used in combination with transport models developed by collaborators
- Lead team meetings and provide regular updates to collaborators
- Synthesize and disseminate research findings through peer-reviewed publications, technical reports, and presentations
- Mentor graduate and undergraduate students and contribute to an inclusive and collaborative research environment
- Contribute to proposal development and identification of new funding opportunities
Benefits
- Health insurance
- Dental insurance
- Vision insurance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
