Job ID358170 LocationTwin Cities Job FamilyAcademic Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9546 Employee ClassAcad Prof and Admin About the Job 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 strong 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. 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 Qualifications Required Qualifications -Ph.D. in Applied Mathematics, Computer Science, Physical Sciences/Engineering, Genomics, Bioinformatics, or related field with strong computational and mathematical training. Preferred Qualifications: * 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 Benefits Working at the University At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work. The University also offers a comprehensive benefits package that includes: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing program Excellent retirement plans with employer contribution Public Service Loan Forgiveness (PSLF) Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost Please visit the for more information regarding benefits. How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-UOHR (8647). Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. About the U of M The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022). The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.