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Post-Doctoral Associate – Blueberry Phenomics Breeding

University of Florida
Main Campus (Gainesville, FL)

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Job no: 521936
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Agriculture/Life Science/Vet Medicine

Classification Title:

Postdoc Aso

Job Description:

The Institute of Food and Agricultural Sciences is committed to creating an environment that affirms diversity across a variety of dimensions, including ability, class, ethnicity/race, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. We strongly encourage historically underrepresented groups to apply.

If an accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD) or visit Accessibility at UF .

The blueberry breeding and genomic lab have addressed various questions to understand the genetic basis of important fruit quality traits and implement genomic- and marker-assisted selection in the breeding routine. Automating phenotype measurement will decisively contribute to increasing our current efficiency, by leveraging the number of data point collected, eliminating human biases, and streamlining our current breeding pipelines. As a postdoc, you will be expected to take the lead in developing systems for data collection, image analysis and machine vision algorithms to create critical and novel methods that empower assessment and quantification of physiological processes, yield capacity and fruit quality traits related to blueberry. It includes collection of multispectral imaging in open-field trials, using of autonomous robots, and analysis of phenotypic traits from high-resolution image data.

Expectations include focuses on using autonomous robot and UAVs; support in-field testing and validation; work with cross-disciplinary teams to deploy phenomics based procedures; model development; preparing data reports and presentations for scientific and industry groups; publishing results in peer-reviewed journals; and support in the mentoring of students.

As part of a post-doctoral experience, we offer opportunities and will encourage to participate and grow in research, teaching, grant writing, extension, and mentoring, all essential areas needed for the next step in your career. Following this model, we have a 100% success rate in placement in the desired job after working in our lab as a postdoc (n=5).

The Horticultural Sciences Department ( is a unit within IFAS at the University of Florida and has diverse teaching, research, and extension education programs with 34 faculty in Gainesville and 26 faculty at various Research and Education Centers throughout the state. The Horticultural Sciences Department is currently ranked top 9 in the center for world university rankings.

The Blueberry Breeding and Genomic Lab ( is a lab within the Horticultural Science Department. The lab is led by Dr. Patricio Munoz who is an associate professor with more than 16 years of experience in plant breeding. The lab goals are both blueberry cultivar development and research methods that help accelerating the cultivar development. The lab will be moving to a newly built building in early 2022 where state of the art equipment and facilities will be available.

Starting at $50,000 depending on experience and contribution to the lab goals. Contract for 2 years, renewable up to 4 years as post-doc. Potential exist for permanent position, after the postdoc, if candidate can successfully lead the area of phenomics and work as a team member with the rest of the blueberry team.

This position is available to start as soon as August 2022 or as soon as a candidate is available.

Expected Salary:

Commensurate with Education and Experience

Minimum Requirements:


A doctorate in Plant Breeding, computer science, engineering, or related areas.

Familiarity with conducting analysis of large datasets using Python, R, or other programming languages

Comprehension of common machine learning algorithms, data mining, geospatial analysis, remote sensing image analysis, etc.;

Strong team player and willing to train junior scientists

Independent, self-motivated, well-organized, and critical thinker

Good written and verbal communication skills

Candidates must also have a commitment to IFAS core values of excellence, diversity, global involvement, and accountability.

Preferred Qualifications:

Familiarity with robotics and engineer to collaborate with the task to design specific prototypes for blueberry field evaluation will be a plus.

Special Instructions to Applicants:

Application must be submitted by 11:55 p.m. (ET) of the posting end date.

Application Information

  • Individuals wishing to apply should go online to and submit:
  • Cover letter that states applicant’s motivation in the position and qualifications relative to the credentials listed above
  • Curriculum vitae
  • Contact information (including email address and phone number) for 3 individuals willing to write letters of recommendation
  • Selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES).

    Hiring is contingent upon eligibility to work in the US. The University of Florida is a public institution and subject to all requirements under Florida Sunshine and Public Record laws.

    The University of Florida is an Equal Opportunity Institution dedicated to building a broadly diverse and inclusive faculty and staff. The University and greater Gainesville community enjoy a diversity of cultural events, restaurants, year-round outdoor recreational activities, and social opportunities.

    Health Assessment Required:No

    Advertised: 12 May 2022 Eastern Daylight Time
    Applications close: 17 Jun 2022 Eastern Daylight Time

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