Agricultural and Biological Engineering
Agricultural and Biological Engineering
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Assistant/Associate Professor in Artificial Intelligence (AI) for Agricultural Robotics and Smart Agriculture
This is a 9-month, tenure track position (70% research and 30% teaching) in the Agricultural Biological Engineering Department (ABE), Institute of Food and Sciences (IFAS). The candidate in this position will work closely with others in IFAS, Herbert Wertheim College of Engineering (HWCOE), and other UF disciplines on Artificial Intelligence (AI) related to research and teaching activities.
The successful candidate is expected to build a research program in applications of AI in agriculture, with a focus on Agricultural Robotics and Smart Agriculture. There is an exponentially increasing potential for AI to impact the efficacy and economics of Smart Agriculture and Agricultural Robotics in autonomous applications, including but not limited to automated harvesting, automated planting and pruning, rapid phenotyping, precision management, yield mapping, soil and water management, remote sensing-based disease and pest scouting, livestock monitoring and prediction, and other aspects of production in plant and animal systems. These applications lie at the intersection of computational sciences and engineering (agricultural/mechanical/electrical) that are becoming increasingly more big data oriented. The candidate for this position is expected to collaborate with other ABE, IFAS and HWCOE faculty in multi-disciplinary research.
Assistant/Associate Professor in Biosensors and Artificial Intelligence
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 Artificial Intelligence thriving community.
The successful candidate is expected to establish an applied research program focused on the development, integration and use of biosensors and AI tools in agricultural and environmental (biological) applications to improve decisions and policies at the local, regional, and international level. The appointee is expected to develop biosensors to complement or replace existing analytical methodologies to measure biological, physical and chemical parameters in biological systems. Biosensor development is anticipated to consider big data and AI-based optimization of noisy/interacting readings, price, size, safety, and biodegradable qualities for different applications. Biosensor application examples in biological systems include precision agriculture, harmful algal blooms, water and soil pollutants, biological indicators, climate change, and food safety. Integration of biosensor networks and AI in rapid early warning systems related to these applications are also desired.
The teaching portion of this position will include development of a successful undergraduate and graduate education program which will introduce students to cutting-edge biosensor technology and techniques in the context agricultural and biological engineering and will include AI components. The 40% FTE commitment will typically be fulfilled by teaching one undergraduate and one graduate course per year as assigned by the department chair. In addition, the candidate will be expected to participate in co-teaching courses related to senior design and cross-cutting topics. Potential topics in the ABE curriculum might be an undergraduate-level course in Biosensors and a graduate-level course in Biosensors with AI, while other topics based upon candidate’s expertise and interests are welcome.
Academic Advisor III
Job Number: 516276
Work Type: Staff Full-Time
Location: Main Campus (Gainesville, Florida)
Undergraduate Advising Responsibilities
- Developmental advisement of undergraduate (UG) students in Biological Engineering and Agricultural Operations Management and
- UF Preview advisement for incoming freshmen & transfer students.
- Management of UG academic programs and communications.
- Conduct degree audit review and adjustment; change of major; scheduling special topics and individual work courses; drop/add; grade/title changes; undergraduate honors thesis; scholarship applications; transient student credit; review of all degree audits for certification of graduation; complete UF petition forms.
- Review transfer and certificate applicants in admissions system and process applicants.
- Responsible for assisting in curriculum development including updates to programs, curriculum and UG catalog as changes are approved.
- Attend monthly meetings of HWCOE and CALS Undergraduate Staff Advising Councils (and Executive Boards as appropriate.)
- Learn and adhere to UF and college-specific policies and procedures for the College of Agricultural and Life Sciences (CALS) and the Herbert Wertheim College of Engineering (HWCOE).
- Respond to web/mail/phone inquiries related to ABE undergraduate programs.
Graduate Advising Responsibilities
- Responsible for reviewing all applications and materials for prospective graduate students for ABE Department.
- Coordinate activities, paperwork, data entry, for review and admission of graduate students.
- Serve on ABE graduate committee and prepare agenda and minutes. Prepare summary of applicants for presentation at meetings.
- Review graduate and certificate applicants in admissions system and process applications.
- Post graduate applicants on GradApps SharePoint site for review by ABE faculty.
- Write letters of admission/denial for prospective graduate students.
- Prepare and send DocuSign exam forms for MS & PhD students.
- Input and update all GIMS information related to supervisory committees, degree programs, exams, and deficiency issues.
- Input and update all Campus Solution information related to student milestones and degree programs.
- Advise graduate students on departmental and UF policies.
- Review approved plans of study to certify graduation requirements have been met.
- Write and submit all curriculum, financial, and admission petitions related to graduate students.
- Process transfer of credits from prior MS programs for admitted/enrolled students.
- Enter contact information into prospective student database and update current graduate student database each semester.
- Co-organize and conduct departmental graduate orientation.
- Update graduate catalog information annually.
- Participate in HWCOE and CALS graduate advising council meetings
- Help resolve issues and provide information related to holds, fees, waivers, graduation, residency, and other issues specific to graduate students.
- Answer all web/mail/phone inquiries related to graduate admission and program.
- Assist on Graduate Student Organization committees, meetings and professional development events.
For the complete position description and more information, visit Careers at UF.
Graduate Research Assistantship - Agricultural Safety and Health and Artificial Intelligence
Graduate Research Assistantship
A research assistantship is available for a Ph.D. student to work on agricultural safety and health-related project. The student will be working with Dr. Serap Gorucu and will be working on an artificial intelligence-related project for agricultural safety and health. The University of Florida is a lead institution of the Southeastern Coastal Center for Agricultural Safety and Health (SCCAHS). SCCAHS explores and addresses the occupational safety and health needs of people working in agriculture, fishing, and forestry in Alabama, Florida, Georgia, Mississippi, North Carolina, South Carolina, the U.S. Virgin Islands, and Puerto Rico. This student also will gain practical and research experience working with SCCAHS faculty.
Possible research topics may include developing risk assessment tools to improve workers' safety, using engineering controls for agricultural hazards, Artificial Intelligence/Machine Learning applications for agricultural safety and health. In addition to research/thesis expectations, opportunities exist for outreach activities with industry and stakeholders.
This research assistantship will provide funding covering a competitive stipend, tuition, and health insurance.
Deadline: Applications will be accepted until the position is filled.
Required Qualifications: Ideal candidate is expected to have a BS degree in Agricultural Engineering, Biological Engineering, Mechanical Engineering, or closely related fields.
TOEFL: TOEFL is required for non-native English speakers.
How to Apply: If interested, please contact Dr. Serap Gorucu (email@example.com) 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 abe.ufl.edu/graduate/admissions.
Ph.D. Assistantship - Big Data Analytics
A Ph.D. assistantship is available in the Agriculture & Biological Engineering Department at the University of Florida to investigate and apply strategies for enhancing the intelligence in managing various agricultural and natural resource systems using big data analytics. The tentative directions for this position will be the modeling of the spatiotemporal variance of environment monitoring information from sources including satellite and IoT networks., etc. This is an opportunity to be at the forefront of applying sophisticated data management platform and data-driven decision making in agricultural and natural resource systems.
Ideal candidates should be highly self-motivated with a strong engineering or science background and hands-on experiences of handling real-world data. Applicants need to be comfortable with math since there will be intensive training on quantitative skills, such as programming, statistics, data science, deep learning, etc. Existing experiences in IT, AI, data science/engineering, Quality Assurance and Quality Control (QAQC) for IoT networks, and satellite data analysis are desired but not required.
Ph.D. Research Assistantship - Quantitative Mitigation of Pesticides with Vegetative Filter Strips
Expression of Interest for a Doctoral Fellowship candidate, Spring or Fall 2021
Fate of Vegetative Filter Strips Pesticide Residue Between Runoff Events for Quantitative Pesticide Mitigation in Regulatory Environmental Assessments with VFSMOD
We are interested on recruiting a suitable candidate for an exciting cutting-edge research opportunity at UF Agricultural and Biological Engineering. We are seeking a candidate with excellent quantitative and experimental skills at the laboratory mesoscale, or interest and ability to developing these.
The aim of the research project is to experimentally and numerically verify the assumptions and accuracy of a new comprehensive pesticide residue component within VFSMOD in the context of continuous, long-term pesticide regulatory exposure assessments. Regulatory exposure assessments (EA) are a cornerstone in the registration of new or existing agrochemicals in the USA and many other countries to preserve ecosystem health and water quality. VFSMOD (Muñoz-Carpena et al., 1999; 2004) is a numerical, storm-based design model that quantifies the performance of vegetative filter strips- VFS (grass buffers) to mitigate pesticide runoff into surface waters. During the rainfall-runoff event it calculates the hydrological and transport processes (sediment, pesticides, reactive solutes) occurring in the VFS based on initial conditions (soil water, vegetation) and boundary conditions (rainfall, inflow runoff from the field). The model has been coupled into current USA and EU long-term (20 to 30 yr), higher-tier regulatory pesticide EAs to estimate potential pesticide load reductions before entering the aquatic environment. Long-term simulations require realistic initial conditions at the beginning of each runoff event in the time series (initial soil water, pesticide residue and vegetation status).
A new comprehensive modeling component has been added to VFSMOD to quantify the fate VFS pesticides residue between events in the context of long-term simulations. To test the new component, it is necessary to obtain detailed experimental data that tracks the VFS residues in the surface of the soil, water and vegetation compartments during consecutive runoff events. In this proposal, a combination of controlled laboratory experiments at the mesoscale is presented to obtain a comprehensive dataset to test and refine the conceptual assumptions of the new residue component. The results of the experiments will be used to test VFSMOD using state-of-the-art, parametrization and model evaluation techniques, and to further document and support the model for use in long-term EAs. The project will offer unique opportunities to interact with government and industry partners.
We strongly encourage qualified applicants from diverse backgrounds to apply. Please send your Expression of Interest with the materials described above by email to Dr. Rafael Muñoz-Carpena, Professor in Hydrology and Water Quality, UF Agricultural and Biological Engineering, email: firstname.lastname@example.org
Ph.D. Research Assistantship - Hydrology, Saltwater Intrusion, and Soil Health
Salinity due to saltwater intrusion (SWI) will impact soil health and agricultural production. As such the significant threats of salinity necessitate more work to better understand its impacts on soil health indicator parameters and associated functional ecosystem processes. This is even of greater importance in areas, such as South Florida, where the surface and groundwater resources are hydrologically connected due to the shallow and highly permeable limestone soils. This research will employ multi-pronged approaches to investigate the multifaceted impacts of SWI on soil hydrology and bio-physicochemical properties, greenhouse gas emission & nutrient leaching from agricultural soils. The project will also test potentials of different soil management strategies to mitigate the negative effects of SWI. This is a collaborative project that brings together a diverse team of multi-disciplinary scientists.
Anticipated start date: Spring 2021
Deadline: Applications will be accepted until the position is filled.
Postdoctoral - Agricultural Engineering (Automation and Robotics)
Postdoctoral of Agricultural Engineering (Automation and Robotics)
The Southwest Florida Research and Education Center (SWFREC) is looking for a motivated individual to join the precision ag. engineering team (https://twitter.com/PrecAgSWFREC) as post- doctoral under the supervision of Dr. Yiannis Ampatzidis at University of Florida (Department of Agricultural and Biological Engineering). The postdoc will support engineering activities such as design, test, verification, modification, fabrication and assembly of prototype mechatronic systems. The selected candidate will work in the area of artificial intelligence (AI), mechatronics, machine vision (e.g. disease detection, yield estimation), robotics (including UAVs) and precision farming technologies. Primary responsibilities include developing automated and robotic systems for agricultural applications, designing and implementing research studies, collecting and analyzing data, and assisting the engineering team in preparing research results for publication. Applicants should have excellent verbal and written communication skills and be available for an interview (for questions contact Dr. Ampatzidis at email@example.com).