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Opportunity: Computational Postdoctoral Associate developing ML/FBA application for specialized metabolism @ University of Minnesota -- St. Paul, MN (US)
Submitted by Samuel Seaver; posted on Wednesday, November 01, 2023
BACKGROUND
The Greenham Lab in the Plant and Microbial Biology Department at the University of Minnesota (USA) is seeking a postdoctoral associate to conduct computational science research in the field of plant biology. Candidates with a background in network analysis and scientific computing skills are preferred. Ideal candidates will be able to work well in a team environment, be highly motivated to publish and to acquire new skills.
The project will bridge plant bioinformatics and computational science. On the bioinformatics side it will involve phylogenomics, protein structure, and biochemistry; on the computational side it will involve linear programming, flux balance analysis, and machine learning. The position will involve the development and analysis of a machine learning approach that will allow researchers to identify key enzymes within any plant's genome-wide metabolic network that will increase the production and yield of important metabolites.
RESPONSIBILITIES
75% Research
- Computation, analysis, and data organization.
- Assist with collecting and processing plant samples.
- Manage datasets generated during the project.
- Review manuscripts and literature-based research.
10% Writing
- Write, edit, and prepare original research articles and or scientific reviews.
- Assist with project reports.
15% Outreach activities and Mentorship
- Provide support and guidance for undergraduate and graduate students working on the project, including participation in UMN programs geared towards encouraging scholars from underrepresented groups in STEM.
- Conducting virtual or in-person workshops on bioinformatics tools developed through the project for other researchers.
REQUIREMENTS
Ph.D. in Applied Mathematics, Computer Science, Physical Sciences/Engineering, Genomics, Bioinformatics, or related field with focus on computational and mathematical training.
PREFERENCES
- Strong background in network analysis and scientific computing.
- Research experience in development of physics-informed machine learning.
- Interest in extending mathematical and scientific computing techniques to new problems.
- Proven track record of first author publications.
- Someone who is creative and self-motivated in their project.
- Strong oral and written skills.
LOCATION
Plant and Microbial Biology department at University of Minnesota, located in St. Paul, Minnesota.
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