Available Positions
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Graduate Research Assistantship (Ph.D. or M.S. Level) - Urban Water Resources Engineering Lab
Background Information:
Applications are solicited for multiple Graduate Research Assistant (GRA) positions (Ph.D. or M.S. Level) in the Agricultural and Biological Engineering Department at the University of Florida under the supervision of Eban Z. Bean, PhD, PE. We are seeking highly motivated and creative students to join the Urban Water Resources Engineering Lab who are interested in researching the ecohydrology impacts of urban stormwater management. Research focus areas include but are not limited to a) developing adaptive stormwater monitoring strategies, b) modeling interactions between stormwater control measures and aquatic habitat, and c) evaluation of green stormwater infrastructure retrofits.
Required Qualifications:
For M.S. applicants: B.S. or B.E. in the following disciplines. For Ph.D. Applicants, B.S. or B.E. and M.S. or M.E. in any of the following or similar disciplines:
- Biological Engineering
- Ecological Engineering
- Environmental Engineering
- Chemical Engineering
- Civil Engineering
- Environmental Sciences
Applicants whose native or first language is other than English must obtain a TOEFL score of 80 iBT or IELTS score of 6.5 or higher.
Preferred Qualifications: These positions are highly interdisciplinary and require carrying out field and laboratory research at the intersection of stormwater management, urban ecology, and hydrology. Prior laboratory experience in any of these areas is a plus.
How to Apply: Interested applicants are encouraged to contact Dr. Eban Z. Bean (ezbean@ufl.edu) directly with a copy of your CV and research statement. Qualified candidates will be contacted separately for additional details (such as references). More information about applying for a graduate degree in Agricultural and Biological Engineering can be found at https://abe.ufl.edu/graduate/admissions/.
Please do not apply formally or pay any fees without making the inquiry first.
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Administrative Assistant II
Job Description:
Submit purchasing card receipts, travel authorizations, and expense reports and be the primary contact for students/postdoc individual to submit reimbursements and determine correct funding. This individual will work with various faculty members and assist in the duties for submission to UFGO for these items.
Serves as back up to Human Resources and Student Service staff members providing coverage on an as-needed basis. Individual will also be given various intermediate tasks from each of these functions to complete, such as scheduling of classrooms, assisting with Visa processes, following up with students and coordination of events.
Assists faculty in preparation of job descriptions and reclassification requests for faculty, USPS and TEAMS employees on grant projects. Work with the Faculty members to prompt them when positions need to be filled and assist with the various position announcement development and facilitate with posting positions with the Web Design individual and the Human Resources individual to have the job posted on the UF website as well as updated to the ABE Website.
Assist in providing support for project team meetings – large scale grant meetings, proposal meetings, or other meetings that require coordination of an event.
Reporting – This individual will review Grants by pulling reports for all faculty members and provide monthly updates of balances, burn rates, and expenditures. Contacts all faculty supervisors for appropriate funding sources for graduate students' tuition remission.
Miscellaneous – Other duties as assigned
Required Qualifications:
- High school diploma or equivalent and four years of relevant experience.
Preferred Qualifications:
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Bachelor’s degree or equivalent and four years of relevant work experience.
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Fluency in Microsoft Office, with a focus on Excel and Word
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Well-versed in HR rules and regulations
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Administrative experience
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Ability to establish and maintain effective working relationships with others.
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Ability to work independently
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Ability to utilize problem solving techniques.
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Ability to communicate effectively verbally and in writing
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Ability to plan, organize and coordinate work assignments.
How to Apply:
- For more information and to apply online, visit Careers at UF.
** Application deadline 3/8/2024 **
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Engineering Technician III
Job Description:
Assist faculty with teaching labs as needed, particularly those requiring use of equipment in the AOM shop or any other specialized machinery, including pumps, sprayers, and motors. These activities include but are not limited to the preparation, planning, and layout of machinery/equipment. Demonstrate advance knowledge in maintenance and operation of complex tools, precision machinery, and engineering equipment.
Serve as a subject matter expert and assist faculty and graduate students with designing and constructing items for research programs and student competitions. Present ideas, concepts, and instructions to develop new techniques or procedures necessary to achieve the desired outcomes while serving as a project or team leader.
Assist faculty and graduate students with the selection and purchasing of materials and equipment based on operational and performance specifications necessary for class. This will include the use of My UF Marketplace and UF PCards.
Provide backup facility support for Frazier Rogers and other ABE buildings. Responsible for the safe maintenance and operation of equipment or machines necessary to properly modify or fabricate parts, equipment, or structures as required by specifications for the wood shop. Serve as the manager and responsible for properly fallowing all UF EH&S standards and policies for the teaching facility at the shop. Operation of state vehicle between various work locations.
Interpret engineering sketches, specifications or drawings and provide support for students outside of class when working on projects that require the teaching facility shop.
Other duties as need by the Department Chair or the Facility Manager.
Occasional contact with Cooperators, contractors and vendors associated with field work and equipment used in laboratories.
Must be able to tolerate high heat and humidity sometimes encountered in field work and testing.
Must be able to lift 50 pounds, bend, squat, work in confined areas and work on and around machinery.
Required Qualifications:
- High School diploma or equivalent and three years of relevant experience. Appropriate college coursework or vocational/tech training may substitute at an equivalent rate for the required experience. Working knowledge of Microsoft -Word, Excel, Outlook
Preferred Qualifications:
- Ability to safely operate and troubleshoot the operation of wood shop machinery and equipment.
- Ability and knowledge of basic electrical systems.
- Experience working with and/or mentoring students.
- Ability to design and prepare drawings for projects.
- Experience working with agricultural systems including general-purpose farm pumps, sprayers, and other equipment.
How to Apply:
- For more information and to apply online, visit Careers at UF.
** Application deadline 3/3/2024 **
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Engineer I
Job Description:
Assist in installation, repair, and management of data collection equipment, both remote and wired. Diagnose and repair electronic instruments used to monitor and record a variety of environmental conditions. Test new electronic equipment/instruments for application in a variety of field locations. Evaluate experiment protocol, select, and calibrate sensors as needed. Make recommendations for alternation, upgrades, and replacement of hardware components.
Instruct others, including graduate students, in the procedures to operate, maintain, and program automated data acquisition equipment. Plan and coordinate the purchase of data acquisition, computer upgrades including hardware and software upgrades, and related equipment.
Assist with mechanical design and selection of components for implementing field and controlled environment experiments related to sensors, data collection, and related programming/software including programming dataloggers, and robotic/automation applications. These duties include computer and data transfer, storage, and backup needs for design of such systems.
Provide backup to other core department needs, including the backup of field experiments data for future use.
Required Qualifications:
- A high school diploma or equivalent and four years of relevant experience; or Bachelor’s degree in engineering science or an appropriate area.
Preferred Qualifications:
- Knowledge of concepts, terminology, principles, and analytical techniques of engineering.
- Skills in programming with computer software.
- Skills in using engineering tools, equipment and /or instruments related to data collection and electronics.
- Ability to establish and maintain effective working relationships with others.
- Ability to analyze and interpret engineering data and trouble shoot problems.
- Ability to plan, organize, and coordinate work assignments.
- Ability to communicate engineering information effectively, verbally and in writing.
- Ability to work outdoors during all times of year; be able to lift 50 lbs.
- Ability to maintain confidentiality on any intellectual property, data, software, or hardware designs that are considered proprietary by researchers who may apply for patents or copyrights.
How to Apply:
- For more information and to apply online, visit Careers at UF.
** Application deadline 2/23/2024 **
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Graduate Research Assistantship (Ph.D. Level) - Precision Water Management Lab
Background Information:
Applications are solicited for a Graduate Research Assistant (GRA) position (Ph.D. level) in the Precision Water Management lab in the Agricultural and Biological Engineering Department at the University of Florida Starting in Summer/Fall 2024 under the supervision of Dr. Vivek Sharma. The candidate will work on the NRCS CIG on-farm funded project on Accelerating the Variable Rate Irrigation Technology. The project will include integrating VRI technology with in-field data, remote sensing and Artificial Intelligence and Machine Learning (AI/ML) algorithms to interlink water quantity and quality dynamics and crop productivity relationships and their impact on economic and risk management aspects on local to regional scales. The successful candidate should have relevant experience in precision water management, machine/deep learning. In addition, candidate possess strong programming skills. The successful candidate will be self-motivated, creative, and has a desire to collaborate in a multidisciplinary environment. The candidate will be expected to publish in peer-reviewed journals and conference publications. The GRA will cover stipends, tuition, and fee.
Required Qualifications:
(i) Appropriate M.S. degree in Agricultural and Biological Engineering, Precision Water Management, Soil and Water Science, Agronomy, Remote Sensing, Hydrology, or any other related field with a GPA of 3.0 or higher; (ii) English writing and communication skills; (iii) Non-English credentials: TOEFL score of 79 iBT or IELTS score of 6.5 or higher.
Preferred Qualifications: (i) Knowledge and experience in applied agricultural water management research and outreach; (ii) knowledge in watershed hydrology, soil science, GIS, and hydrological and/or chemical/nutrient fate and transport modeling; (iii) Experience and willingness to work in various field conditions; (iv) Excellent Data science expertise/ Programming skills – Python, R, or similar language; (v) 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, research statement, unofficial transcript, list of publications, and contact information of three references. More information about applying for a graduate degree in Agricultural and Biological Engineering can be found at https://abe.ufl.edu/graduate/admissions/.
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Postdoctoral Research Associate - Precision Water Management Lab
Background Information:
The Precision Water Lab in the Agricultural and Biological Engineering Department have TWO open Post-Doctoral Research Associate Positions starting in Summer 2024. The candidate will work in a team environment comprising researchers, graduate students, extension agents, and growers to accelerate the adoption of precision irrigation and nutrient management technologies. The project will include integrating VRI technology with in-field data, remote sensing and Artificial Intelligence and Machine Learning (AI/ML) algorithms to interlink water quantity and quality dynamics and crop productivity relationships and their impact on economic and risk management aspects on local to regional scales. The successful candidate should have relevant experience in precision water management, machine/deep learning. The successful candidate should be self-motivated, creative, and has the desire to collaborate in a multidisciplinary environment. The candidate will be expected to publish in peer-reviewed journals and conference publications. A review of applications will begin immediately until the position is filled.
Qualifications:
(i) Appropriate Degree (Ph.D.) degree in Agricultural and Biological Engineering, Precision Water Management, Soil and Water Science, Agronomy, Remote Sensing, Hydrology, or any other related field with a GPA of 3.0 or higher; (ii) Knowledge and experience in applied agricultural water management research and outreach; (iii) knowledge in watershed hydrology, soil science, GIS, and hydrological and/or chemical/nutrient fate and transport modeling; (iv) Experience and willingness to work in various field conditions; (v) Excellent Data science expertise/ Programming skills – Python, R, or similar language; (vi) Record of previous scientific communications (journal articles or/and conference publications).
The positions are open for immediate hiring if qualified candidate found and will remain open till candidate hired.
How to Apply: Interested applicants are encouraged to contact Dr. Vivek Sharma (vsharma1@ufl.edu) directly with a copy of your CV, research statement, unofficial transcript, list of publications, and contact information of three references. More information about applying for a graduate degree in Agricultural and Biological Engineering can be found at https://abe.ufl.edu/graduate/admissions/.
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Graduate Research Assistant - Multi-Species Biofilm Dynamics
Background Information:
Applications are solicited for a Graduate Research Assistant (GRA) position (Ph.D. or M.S. Level) in the Agricultural and Biological Engineering Department at the University of Florida under the supervision of Drs. Reyes and Martin. We are looking for a highly motivated and creative student interested in working on empirical laboratory research and mathematical modeling of the growth of multi-species biofilms. Research focus includes but is not limited to the development of flow systems, micro-hyperspectral and electrochemical impedance analyses, metabolomics, metatranscriptomics, and conventional microbial analyses.
The UF/IFAS ABE Department is ranked among the top 5 programs in the nation and provides unique opportunities for in-depth research and field experience with award-winning department faculty and access to HiPerGator, one of the most powerful supercomputers available on a university campus.
Minimum Qualifications: For M.S. applicants: B.S. or B.E. in the following disciplines. For Ph.D. Applicants, B.S. or B.E. and M.S. or M.E. in any of the following or similar disciplines: Biological Engineering; Chemical Engineering; Food Engineering; Biomedical Engineering; Microbiology; Biotechnology.
Applicants whose native or first language is not English must obtain a TOEFL score of 80 iBT or IELTS score of 6.5 or higher
Preferred Qualifications: This position is highly interdisciplinary and requires carrying out laboratory research at the interface of microbiology, chemical and biological engineering, analytical chemistry, electrochemistry, image analysis, and “omics”. Prior laboratory experience in any of these areas is a plus.
Instructions to Applicants: Interested applicants are encouraged to contact Dr. Jose Reyes (jireyes@ufl.edu) directly with a copy of your CV and research statement. Qualified candidates will be contacted separately for additional details (such as references). More information about applying for a graduate degree in Agricultural and Biological Engineering can be found at https://abe.ufl.edu/graduate/admissions/. Please do not apply formally or pay any fees without making the inquiry first.
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Pathfinder Doctoral Fellowship - AI-Driven Stabilization of Analytical Enzymes
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 Drs. Reyes (Enzyme Catalysis) and Medeiros (Artificial Intelligence) groups. We are looking for a highly motivated and creative student interested in working on empirical laboratory research and mathematical modeling of enzyme structure in a highly interdisciplinary environment. Research focus includes characterization of enzyme stability and activity at high hydrostatic pressure, mathematical modeling of enzyme structure, in-silico design of stable enzyme variants creating computer programs that integrate AlphaFold capabilities, and/or in-vitro production of enzyme variants with increased stability.
The UF/IFAS ABE Department is ranked among the top 5 programs in the nation and provides unique opportunities for in-depth research and field experience with award-winning department faculty and access to HiPerGator, one of the most powerful supercomputers available on a university campus.
Minimum Qualifications: B.S. or B.E. and M.S. or M.E. in any of the following disciplines: Biological Engineering; Chemical Engineering; Biochemistry; Biomedical Engineering; Computer Science; Computer Engineering.
Applicants whose native or first language is not English must obtain a TOEFL score of 80 iBT or IELTS score of 6.5 or higher
Preferred Qualifications: This position requires carrying out laboratory research, including enzyme kinetics, enzyme stability, and enzyme structure experiments as well as doing computer modeling and using tools such as AlphaFold. Prior experience in any of these areas is a plus. Proficiency with Python and experience with software libraries to design machine learning models are also highly desirable. Courses and/or previous research in physical biochemistry are a plus.
Instructions to Applicants: Interested applicants are encouraged to contact Dr. Jose Reyes (jireyes@ufl.edu) directly with a copy of your CV and research statement. Qualified candidates will be contacted separately for additional details (such as references). More information about applying for a graduate degree in Agricultural and Biological Engineering can be found at https://abe.ufl.edu/graduate/admissions/. Please do not apply formally or pay any fees without making the inquiry first.
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Pathfinder Doctoral Fellowship - Integrated Bio and Geo-Tracking of Animal Behavior
Background Information:
Applications are solicited for a Graduate Research Assistant (GRA) position (Ph.D. Level) in the Agricultural and Biological Engineering (ABE) Department at the University of Florida under the supervision of Dr. Daniel Hofstetter and Dr. Jose Reyes-De-Corcuera. The candidate should be interested in the development of wearable multi-chemical/physical sensors to assess animal behavior. Potential research focus includes, but is not limited to: monitoring and data collection for precision animal agriculture using sensor arrays with artificial intelligence (AI), development of biosensors for animal stress biomarkers, detection and characterization of animal behavior and correlation to stress indicators for farm-raised animals, integration of multiple types of sensors including position and motion tracking for the study of ecologically important wildlife and animals raised outdoors. The successful candidate should be self-motivated, creative, and have a desire to collaborate in a fast-paced multidisciplinary environment. The candidate will be expected to publish in peer-reviewed journals and to present research results at international conferences. Funding is conditional upon satisfactory performance in coursework and research duties. The GRA will cover stipend, tuition, and health insurance (a standard UF waiver).
The UF/IFAS ABE Department is ranked among the top 5 programs in the nation and provides unique opportunities for in-depth research and field experience with award-winning department faculty and access to HiPerGator, one of the most powerful supercomputers available on a university campus.Minimum Qualifications: B.S. and M.S. degree with a strong background in Chemical or Biological Engineering and a GPA of 3.0 or higher; Excellent English writing and communication skills; Applicants whose native or first language is not English must obtain a TOEFL score of 80 iBT or IELTS score of 6.5 or higher (GRE may be waived).
Preferred Qualifications: Laboratory experience working with enzymes and/or aptamers to identify biomarkers; Experience working with GC-MS, electrochemical and metal oxide sensors, and electronic noses; Knowledge and experience with AI, computer vision, microprocessors, and sensors; 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).
Instructions to Applicants: Interested applicants are encouraged to contact Dr. Daniel Hofstetter (d.hofstetter@ufl.edu) directly with a copy of your CV and research statement. Qualified candidates will be contacted separately for additional details (such as references). More information about applying for a graduate degree in Agricultural and Biological Engineering can be found at https://abe.ufl.edu/graduate/admissions/. Please do not apply formally or pay any fees without making the inquiry first.
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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: Ph.D. in agricultural, civil, electrical/electronics, environmental engineering, soil water resources or related fields. Experience installing maintaining and analyzing data from in-ground sensors (soil water and nutrients), data analysis focused on time series analysis, Internet of Things and machine learning, development of decision support systems, soil-plant-water sampling protocols, and stakeholder engagement.
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 Python (R, or MATLAB equivalent) databases, ArcMap, and data analysis tools
Special Instructions to Applicants: Applicants must submit an application package including cover letter highlighting specific experience related to this position, Curriculum Vitae, list of publications, unofficial transcripts, and contact information of two references. For questions, contact Dr. Guzmán at sandra.guzmangut@ufl.edu. Send the application package to this email address.
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Post Doctoral Researcher: Agricultural Robotics and Mechatronics Group
Background Information:
The University of Florida Agricultural and Biological Engineering Department is looking for a motivated individual to join the Agricultural Robotics and Mechatronics Group as a Post-doctoral Researcher under the supervision of Dr. Tom Burks at the University of Florida (Department of Agricultural and Biological Engineering) in Gainesville, FL. The selected candidate will work primarily in the area of Artificial Intelligence (AI) for Machine Vision Applications, embedded and edge computing, machine vision using visible, hyper-spectral, multi-spectral, and thermal imaging platforms applied towards automation, robotics (including UAVs), mechatronics, and precision farming technologies. Primary responsibilities include developing integrated hardware and software for embedded and edge AI systems for agricultural production and food safety applications.
Daily responsibilities will include designing and implementing embedded and edge AI to solve challenging vision-based applications in food production and/or food processing, collecting and analyzing data, and publishing research results in two or more referred publications per year. The postdoc may also participate in some teaching responsibilities that may include guest lecturing, developing topic modules for instruction, implementing AI-based programming assignments and validating results.
Qualifications:
Hardware and software integration experience in machine vision, AI/ML and embedded devices mandatory. The applicant should have a Ph.D. in either Agricultural, Mechanical, Electrical, or Computer Engineering, or closely related field (AI, ML, robotics, machine vision) with previous research experience, academic background, and publications in various areas such as artificial intelligence, embedded systems, machine vision, hyper-spectral imaging, robotics, autonomous systems, remote sensing, IoT, and precision farming technologies is preferred. Applicants should have strong English verbal and written communication skills as well as demonstrated referred journal articles in relevant topics.
Employment:
The position is open for immediate hiring if qualified candidate found and will remain open till candidate hired. The position should be filled between January 1, 2024 and May 31, 2024. Applications will be accepted until a hiring decision is made.
How To Apply:
The application package should include:
- an application letter detailing candidate's qualifications and experience relative to the position description,
- curriculum vitae,
- list of publications with role played,
- PDF of two relevant publications in English where candidate played the major role, and unofficial transcripts,
- Two letters of recommendations from professionals including PhD committee chairman and one other.
For questions, contact Dr. Burks at tburks@ufl.edu. Send the application package by email to this address with the subject line, “Applicant for Post Doctorate Position”. The candidate should be available for a Zoom interview to be scheduled as soon as possible after receipt of application package.
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Post Doctoral Research Associate: Hydrologic and Nutrient Transport Modeling in Vadose Zone (SWFREC)
Background Information:
Agricultural and Biological Engineering (ABE) Department and Southwest Florida Research and Education Center, University of Florida (UF), seeks a post-doctoral associate for hydrologic and nutrient transport modeling in vadose zone. The post-doc will develop and use hydrologic model(s) and contribute to developing a decision support system (DSS) for multi-disciplinary projects on developing and evaluating water and nutrient best management practices (BMPs) under different groundwater environments.
The post-doc will help collect and use the soil, water, and plant data from multiple sites to develop models for predicting subsurface water and nutrient transport in well-drained and poorly-drained soils in agricultural fields. The project takes a systems approach and involves conducting experiments on high-value fresh market crops under different nutrient inputs, irrigation and drainage, hydrologic, and weather conditions.
The post-doc will work with a team of post-docs, graduate students, and faculty to integrate water and nutrient loss predictions with plant, soil, water, and economic data to develop a DSS for nutrient and water management. The project team includes faculty drawn from engineering, hydrology, statistics, economics, plant, soil, and ecosystem sciences.
Qualifications:
Applicants must have Ph.D. in agricultural/biological/civil/environmental engineering, soil and water sciences, or related physical sciences. Applicants are expected to have strong background in vadose zone models (e.g. HYDRUS) and nutrient transport processes. Background in irrigation management for agricultural systems and machine learning models is a plus.
Employment:
The position is available immediately with initial appointment for one year and is likely to be renewable depending on funding and performance. Salary will be commensurate with education and experience and is likely to range from $50,000- $62,000/year.
How To Apply:
Send a resume and the names of three references to Dr Sanjay Shukla, Professor, Water Resources, Agricultural and Biological Engineering ( sshukla@ufl.edu ) and Ms Becky Decker ( rdecker54@ufl.edu ). The screening of candidates will begin July 24th, 2023.
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Post Doctoral Research Associate: Foundation for Food and Agricultural Research (FFAR)
Background Information:
The Department of Agricultural and Biological Engineering at the University of Florida invites applications for a Postdoctoral Research Associate position as part of the Foundation for Food and Agriculture Research (FFAR) project titled “Integrated Food Waste Measurement and Predictions Supported by Agent-Based Models (IFWASTE)”
The successful candidate will be at the forefront of applying advanced modeling and simulation tools, with a particular focus on agent-based modeling, to the assessment of food loss and waste at the household level. This project is aimed at building and refining advanced simulations to assess the multifaceted complexities of food loss and waste systems. The hired postdoctoral researcher will work in an interdisciplinary team of engineers, social scientists, implementation partners such as City of Gainesville, Alachua County, and Sarasota Extension office and help coordinate the project efforts.
Qualifications:
PhD in Systems Science, Computer Science, Agricultural and Biological Engineering, Environmental Science and Engineering, Economics, or a closely related field; Expertise in agent-based modeling and advanced simulation tools; Experience in analyzing complex systems, with a preference for research related to food loss and waste; Proficiency in programming languages such as Python, Java, or R; Interest and expertise in Artificial Intelligence and Data Science is a plus; Excellent written and verbal communication skills, with a demonstrated ability to publish research findings; Ability to work in a collaborative research environment and coordinate the project teams and ensure the milestones are met
Employment:
This is a full-time, grant-funded, 18-month position with the possibility of extension based on performance and funding availability. Salary is competitive and includes a benefits package.
How To Apply:
Interested applicants should submit a cover letter detailing their research interests and experience, a CV, and contact information for three references to ziynetboz@ufl.edu
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Post Doctoral Research Associate: Smart Agriculture Laboratory
Background Information:
We are in search of a talented and passionate individual to join us as a Postdoctoral Research Associate. As part of our team, you will play a pivotal role in developing the cutting-edge robotics system for specialty crops that will shape the future of farming.
Under the guidance of Dr. Dana Choi, you will immerse yourself in advancements in artificial intelligence (AI), robotics, and digital twin technologies. Your primary focus will be on the development of robotic mushroom harvester and strawberry runner cutter. You will have the opportunity to contribute to other exciting projects, write grant proposals with Dr. Dana Choi, and mentor Ph.D. students in the lab.
Qualifications:
Ph.D. degree in Agricultural and Biological/Mechanical/Computer/Electrical Engineering or a closely related discipline; Fluency in the Robot Operating System (ROS) and Python programming; Experience in CAD modeling and machine/electrical circuit fabrication; Excellent verbal and written communication skills to share your visionary ideas and groundbreaking discoveries with the world.
How To Apply:
To apply, please send the following documents to Dana Choi at dana.choi@ufl.edu :
- Curriculum Vitae (CV) capturing your extraordinary journey so far.
- Unofficial academic transcripts reflecting your dedication to academic excellence.
- Any representative publications showcasing the brilliance of your work in the field, highlighting your contributions.
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Assistant Professor of Agricultural Water Management - Everglades Research and Education Center
This is a 9-month tenure-accruing position that will be 70% research (Florida Agricultural Experiment Station) and 30% extension (Florida Cooperative Extension Service), available at the Everglades Research and Education Center (EREC) within the Institute of Food and Agricultural Sciences, University of Florida. Tenure will accrue either in the Department of Soil, Water, and Ecosystem Sciences OR the Department of Agricultural and Biological Engineering.
The incumbent is expected to develop a program with a major focus on water resources and water quality in the Everglades Agricultural Area (EAA) and adjacent areas in south Florida. The EAA and adjacent areas have organic, sand, and transitional soils and comprise one of the nation’s largest suppliers of winter vegetables, while also boasting the largest sugarcane and sweet corn production in the country and significant rice acreage. The incumbent will develop a nationally recognized extramurally funded research and extension program focused on efficient irrigation and drainage systems balancing water resources, water quality and agricultural production with local and global applications in the context of complex hydrological systems and climate change. The candidate is expected to provide research and outreach leadership to 1) further hydrologic knowledge of agricultural systems such as irrigation, subsurface drainage and water table management using the latest technologies, innovations, AI machine learning modeling and data science applications; 2) develop, test and evaluate soil and water management practices that provide erosion and sediment control, and 3) reduce and mitigate the impact of agricultural water management decisions and other production practices on phosphorus nutrient transport as part of an established comprehensive Best Management Practices (BMP) program in the EAA.
- For more information and to apply online, visit Careers at UF.
- Download Position Description (.docx)
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Graduate Research Assistantship (Ph.D. Level) - Agricultural Robotics and AI
Background Information:
The Bio-Sensing Automation and Intelligence Laboratory (B-SAIL) (www.uflbsail.net) in the Department of Agricultural and Biological Engineering at the University of Florida is seeking highly motivated graduate students for Ph.D.-level research assistantships (RA) in agricultural sensing, automation, and AI. We are currently accepting applications for these positions, which will be reviewed on an ongoing basis.
Qualifications:
Successful candidates should have relevant experiences and interests in one or more of the following areas: computer vision, mechatronics, robotics, electronics, sensing, and machine learning/deep learning. Additionally, candidates should possess strong programming skills in one or more of the following languages: Python, MATLAB, LabVIEW, C/C++, Java, and IDL. A proven ability to publish research in peer-reviewed journals and a willingness to learn new technologies is also desirable.
How to Apply: Interested applicants should send their curriculum vitae, a list of three references, and transcripts to Dr. Changying “Charlie” Li at cli2@ufl.edu.
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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