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Agricultural and Biological Engineering

Agricultural and Biological Engineering

Available Positions

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  • Assistant Professor in Modeling Cropping Systems

    This is a faculty position that will provide leadership in the development and application of the next generation of cropping system computer models. This is a 9-month, tenure track position (60% research 40% teaching) in the Agricultural and Biological Engineering Department (ABE), Institute of Food and Sciences (IFAS). This position will work closely interfacing ABE with others in IFAS, Herbert Wertheim College of Engineering (HWCOE), and UF computer modeling/simulation and Artificial Intelligence (AI).

    The ABE department at UF is one of the global leaders in the development and application of cropping system models. Both at UF and internationally the interest is growing regarding the necessity to produce and manage food systems with greater resilience and circularity to ensure resources for future generations. This position will contribute to this research and educational need locally, nationally, and globally. The successful candidate is expected to establish an applied research program that develops and advances current cropping system models for integration in a range of applications including but not limited to genetics, climate change and variability, food systems, value chains, ecosystem services, life cycle analyses and circular systems. The successful candidate will collaborate with others focused on these topics with emphasis on using a systems approach that integrates expertise among multiple disciplines and specialties within IFAS and UF and the broader international crop modeling community.

    The teaching portion of this position will include development of a successful undergraduate and graduate education program that will introduce students to cutting-edge theories and applications in computer modeling and engineering of food and circular systems, and related analytical techniques toward measuring and assessing agricultural and environmental impacts and their co-dependency. The 40% FTE commitment will typically be fulfilled by teaching one undergraduate and one graduate course per year as assigned by the department chair; co-teaching courses (or perhaps sections of courses) related to sustainability, food systems, and cross-cutting topics; and serving as main advisor of graduate students maintained by the candidate’s research program. The candidate will also be expected to contribute to the Biological Systems Certificate that is offered in ABE.

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  • Graduate Research Assistantship (Ph.D. Level) - Artificial Intelligence & Robotics

    Background Information:

    Applications are solicited for a Graduate Research Assistant (GRA) position (Ph.D. level) in the Agricultural and Biological Engineering Department at the University of Florida under the supervision of Dr. Henry Medeiros. The candidate should be interested in working in the fields of artificial intelligence and robotics applied to agricultural problems. Potential research focus includes but is not limited to agricultural automation using ground and aerial robotic platforms, high throughput plant modeling and phenotyping, large scale scene reconstruction and interpretation. The successful candidate should be self-motivated, creative, and have a desire to collaborate in a multidisciplinary environment. The candidate will be expected to publish in peer-reviewed journals and conference publications. The assistantship will cover stipends, tuition, and fee. Review of applications will begin immediately until the position is filled.

    Required Qualifications: 

    Bachelor's degree in Agricultural and Biological Engineering, Electrical and Computer Engineering, Computer Science, or a related field with a GPA of 3.0 or higher; Strong English writing and oral communication skills; Non-English credentials must obtain a TOEFL score of 80 iBT or IELTS score of 6.0 or higher; Demonstrated programming proficiency in Python or other object-oriented programming language; Solid knowledge of linear algebra and probability theory.

    Preferred Qualifications:  

    Knowledge and experience in the development of robotic and machine learning systems; Familiarity with modern machine learning models and Bayesian estimation methods; Experience with tools and libraries used for the development of robotic systems (e.g., ROS) and machine learning algorithms (e.g., Pytorch, Tensorflow, etc.); Record of previous scientific communications (journal articles or/and conference publications); Experience and willingness to collect data and perform experiments in the field.

    How to Apply: Interested applicants are encouraged to contact Dr. Henry Medeiros (hmedeiros@ufl.edu) directly with a copy of your CV and research statement. In addition, students should apply to the University of Florida Agricultural and Biological Engineering Department. More information can be found at https://abe.ufl.edu/graduate/admissions/.

  • Post Doctoral Research Associate: AI in Land Cover Dynamics

    Background Information:

    The candidate is expected to provide leadership in remote sensing-based land cover dynamics using AI algorithms and high-performance computing in support of a NASA-funded project. Responsibilities include conducting and documenting research activities, writing refereed journal publications and research proposals.

    Qualifications: 

    An earned doctorate in Electrical, Computer, Civil, Environmental, or Agricultural Engineering, or a closely related field. Candidate should be experienced in using remote sensing datasets, developing remote sensing algorithms and AI techniques. Applicants should have a good publication record, effective communication skills, and an ability to work collaboratively with faculty, staff, and students in the Center, the ABE Department and with other units on campus.

    Employment: 

    This is a full-time, non-tenure-track faculty appointment. Initial appointment is for one year, with an opportunity for renewal. Salary will be commensurate with qualifications.

    How To Apply: 

    To apply for this position, submit a letter of application describing your relevant experience, resume, transcripts, and the name and full contact information for three references to Prof. Jasmeet Judge via email jasmeet@ufl.edu 

  • Postdoctoral Research Associate - Indian River Research and Education Center

    Background Information:

    The postdoctoral associate will work in the Smart Irrigation and Hydrology, (SIAH) Agricultural engineering team (https://irrec.ifas.ufl.edu/guzman/) at the Indian River Research and Education Center (https://irrec.ifas.ufl.edu/). The Indian River Research and Education Center is a unit of the Institute of Food and Agricultural Sciences (IFAS) at the University of Florida and is located on a 700-acre site west of Fort Pierce, St. Lucie County. Fort Pierce is located on the east coast of Florida, 50 miles north of West Palm Beach. The internationally recognized research center is located in a major agricultural region in which nurseries, citrus, beef cattle, and vegetables are major industries. The IRREC is an interdisciplinary unit of the Florida Agricultural Experiment Station, the Florida Extension Service, and the College of Agriculture and Life Sciences, all of which are administered by IFAS to serve the land-grant mission.

    Required Experience: experience with sensor-based irrigation management, data analysis, decision support systems, soil-plant-water sampling protocols, and time series analysis

    Preferred Experience: experience with participatory modeling, extension activities, project management, water quality sampling and analysis, machine learning and statistical analysis. Ability to efficiently plan, organize, and coordinate work assignments. Ability to communicate effectively verbally and in writing. Ability to establish and maintain effective working relationships. Ability to publish manuscripts in peer-reviewed journals

    Special Knowledge/skills: experience with hydrological and crop modeling. Programming experience with Phyton (R, or MATLAB equivalent) databases, ArcMap, and data analysis tools   

  • Graduate Research Assistantship (Ph.D. Level) - Precision Irrigation Management

    Background Information:

    Applications are solicited for a Graduate Research Assistant (GRA) position (Ph.D.level) in the Agricultural and Biological Engineering Department at the University of Florida under the supervision of Dr. Vivek Sharma, starting Fall, 2023. The candidate should be interested in working in the field of precision irrigationmanagement. Potential research focus includes but is not limited to irrigation and nutrient management, irrigation system management, water quality, groundwater leaching, and crop and hydrological modeling. The successful candidate should be self-motivated, creative, and has a desire to collaborate ina multidisciplinary environment. The candidate will be expected to publish in peer-reviewed journals and conference publications. The GRA will cover stipends, tuition, and fee. A reviewof applications will begin in Spring 2023.

    Required Qualifications: 

    M.S. degree in Agricultural and Biological Engineering, Soil and Water Science, Agronomy, or any other related field with a GPA of 3.0 or higher; English writing and communication skills; Non-English credentials must obtain a TOEFL score of 79 iBT or IELTS score of 6.5 or higher (GRE may be waived).

    Preferred Qualifications: Knowledge and experience in soil water conservation technologies; experience and willingness to work in various field conditions; programming skills (Python, R, etc.); record of previous scientific communications (journal articles or/and conference publications).

    How to Apply: Interested applicants are encouraged to contact Dr. Vivek Sharma (vsharma1@ufl.edu) directly with a copy of your CV and research statement.

  • Graduate Research Assistantship (Ph.D. Level) - AI and Sensors in Agricultural Facilities

    Background Information:

    Applications are solicited for a Graduate Research Assistant (GRA) position (Ph.D. Level) in the Agricultural and Biological Engineering Department at University of Florida under the supervision of Dr. Daniel Hofstetter. The candidate should be interested in the application of information technology, sensors, and control systems to plant, animal, and facility systems. Potential research focus includes, but is not limited to: monitoring and data collection for precision animal agriculture using sensor arrays and audio/video surveillance systems with artificial intelligence (AI) to detect and characterize animal behavior for automated control over HVAC systems to improve animal comfort, productivity, and resource efficiency towards sustainable food production; using computational fluid dynamics (CFD) simulations to predict air flow patterns, thermal comfort parameters, and airborne contaminant levels to improve indoor air quality in agricultural facilities. The successful candidate should be self-motivated, creative, and have a desire to collaborate in a multidisciplinary environment. The candidate will be expected to publish in peer-reviewed journals and conference publications. Funding is conditional upon satisfactory performance in coursework and research duties. The GRA will cover stipends, tuition, and health insurance (a standard UF waiver). A review of applications will begin immediately until the position is filled.

    Required Qualifications: 

    B.S. and M.S. degree in Agricultural and Biological Engineering or a related engineering discipline with a GPA of 3.0 or higher; Excellent English writing and communication skills; Non-English credentials must obtain a TOEFL score of 80 iBT or IELTS score of 6.5 or higher (GRE may be waived)

    Preferred Qualifications: 

    Knowledge and experience with AI, computer vision, microprocessors, sensors, and control systems, Experience and willingness to work in various field conditions, Programming skills (Arduino IDE, Python, R, etc.), Record of previous scientific communications (journal articles or/and conference publications).

    How to Apply: Interested applicants are encouraged to contact Dr. Daniel Hofstetter (d.hofstetter@ufl.edu) directly with a copy of your CV and research statement.