Postdoctoral Research Associate I

Location
Tucson, AZ
Posted
Sep 26, 2020
Position Type
Postdoc
Institution Type
Four-Year Institution
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A postdoctoral associate position is available to work on the application of high-performance computing to high-throughput plant phenotyping and feature extraction to assist in understanding how stress-adaptive traits in crop plants mitigate the effects of heat and drought stress. This postdoctoral associate position is within the School of Plant Sciences at the University of Arizona located in Tucson, Arizona. The position involves the application of machine learning/artificial intelligence algorithms for the extraction of complex and latent phenotypes from multimodal data generated by the University of Arizona’s Field Scanner, the world’s largest outdoor plant imaging system.
The position will require leveraging the computational resources of UA’s CyVerse to perform numerous duties and tasks related to large scale data processing including: database construction and management; development of data processing pipelines that are distributed and containerizable; creation of novel algorithms for the extraction of plant phenotypes; and statistical analyses of tabulated data. In addition, the candidate is expected to provide some guidance and mentorship to undergraduate and graduate students that are involved in the project as well as assist in the field operations on an as-needed basis.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.

As a cost-saving measure related to the impact of COVID-19, Furlough and Furlough-Based Salary Programs have been approved by the Arizona Board of Regents. All new hires subject to the programs will be notified in accordance with adopted Furlough and Furlough-Based Salary Programs guidelines and will be required to comply with all measures. To learn more about the programs and whether this position is affected, please visit hr.arizona.edu/FY-2020-2021-Furlough-Program.

Duties & Responsibilities

Duties of the postdoc include butare not limited to: development of data management protocols; development oftools to enable inter-database communication from relevant platforms/datarepositories; curation and annotation of data; design, planning, and creationof novel data processing pipelines to handle >1 TB of raw data on a dailybasis; creation and implementation of novel machine learning/artificialintelligence algorithms to extract unique plant features from a combination ofRGB imagery, point cloud, thermal, photosystem two, and hyperspectral datagenerated by the gantry sensors; statistical analyses of extracted phenotypicdata including longitudinal growth analyses, spline function fitting, andexploration of additional models; and provide intellectual guidance anddirection with all facets of gantry data processing and analysis.

 

KNOWLEDGE, SKILLS, AND ABILITIES:
The desired candidate will have anextremely well documented history of proficiency with computer programmingacross multiple languages and platforms. This must be clearly demonstrated intheir career/training history. Additionally, the candidate must have knowledgeand experience with production code/programming (i.e. deployed on commercialplatforms) to demonstrate the ability and robustness of their codingcapabilities. Candidate must possess and demonstrate intellectual capacity todevelop and implement novel algorithms and tools to accomplish tasks.

Minimum Qualifications

MINIMUM QUALIFICATIONS:

  • Must have a PhD with demonstrated proficiency in basic science research leading to published, peer-reviewed manuscripts. 
  • Demonstrated expertise in computer programming using a multitude of languages (eg., C+, Perl, Python, etc.) used to address and solve hypothesis driven questions.
  • Experience with large database platforms and data curation/management to store and provide metadata.
Preferred Qualifications Ideal candidate will have experience with the following computer languages and systems: High performance computing, code parallelization, GPU acceleration, C++, Perl, PHP, MySQL, Apache, Oracle, UNIX, Linux, Java, HTML, R, and Python (with knowledge of scientific libraries such as NumPy and SciPy). Candidate should be proficient with one or more software engineering methodologies (e.g. Agile) and version control (e.g. Github). Additionally, candidate should possess exceptional statistical/analytical skills (linear model, support vector machine, linear discriminate analysis, ridge/lasso regression, genetic algorithms, Markov chain Monte Carlo, Bayesian analysis, data visualization, image processing) that demonstrate experience and skills with advanced statistical concepts. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar Fiscal Job Category Research Benefits Eligible Yes - Full Benefits Rate of Pay $47,659 Compensation Type salary at 1.0 full-time equivalency (FTE) Type of criminal background check required: Name-based criminal background check (non-security sensitive) Number of Vacancies 1 Target Hire Date 10/4/2020 Expected End Date Contact Information for Candidates For additional information, please contact Dr. Duke Pauli at [email protected]
Open Date 9/25/2020 Open Until Filled Yes Documents Needed to Apply Curriculum Vitae (CV) and Cover Letter Special Instructions to Applicant Diversity Statement At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As an Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.

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