Available Positions
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Biological Scientist I – Agricultural and Biological Engineering Department, University of Florida
Background Information:
This individual will manage the Precision Water Management laboratory, in the Agricultural and Biological Engineering Department under the guidance of Dr. Vivek Sharma. Their overall responsibility is to maintain proper function and organization of the laboratory, including, but not limited to, the following duties: Laboratory and Field Administration, Research Support, Technical Writing and Regulatory Compliance, and Training of Lab Personnel.
Minimum Qualifications:
Bachelor’s degree in biology or a closely related life science field.
Preferred Qualifications:
Master's degree in agricultural engineering, soil water engineering, agronomy, soil science, or a closely related field.
Salary:
Commensurate with education and experience.
How to Apply: Interested applicants, please review and submit application materials on the Careers at UF listing:
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Administrative Assistant I
Responsibilities:
Acts as receptionist for the Department. Answers telephone and assists visitors. Serves as first point of contact for all visitors entering department. Must maintain professional demeanor and attitude, as this position is the “face” of the department. Must be knowledgeable about various aspects of department so that calls and visitors can be routed to the appropriate area or person.
Travel - Review, process and handle travel authorization forms, travel reimbursement forms, copying, and forwarding to proper office for payment on travel. Receives and distributes reimbursement when received.
Review, process and handle Purchase Order/Requisition requests and processing within the MYUF Market system. Also serves as the contact for faculty and staff on ordering items in the MYUF Market system.
Responsible for reconciling sponsored programs and residual/overhead accounts, and reporting any discrepancies to Mgr, Admin Svcs.
Maintains scheduling space for employees, students, etc. and ensures this is updated on a semester basis and as needed.
Analyzes office operation needs in terms of equipment, workflow, materials, and makes recommendations. This includes daily inventory of office supplies as well as certain computer supplies and then ordering necessary items. Responsible for maintenance and upkeep for department copier as well as arranging supplies and service for it.
Assists in managing all incoming and outgoing freight shipments. This consists of coordinating drop off and pick up for multiple vendors, including DHL, UPS, and FedEx. Efficiency, accuracy, and reliability are very important, as high volume of time-sensitive shipments are routinely shipped from the department.
Responsible for the upkeep of the main office and common areas, including cleaning welfare areas and mail room, and sorting incoming mail.
Minimum Qualifications:
- High school diploma or equivalent
- One year of relevant experience
OR
- an equivalent combination of education and experience.
Preferred Qualifications:
- Knowledge of computers
- Ability to learn quickly new software and/or programs
- Ability to work independently
- Ability to communicate effectively verbally and in writing
- Ability to establish and maintain effective working relationships with others Knowledge of proper telephone and receptionist procedures
- Demonstrated commitment to contributing to a respectful and caring community for all, including individuals of diverse backgrounds, experiences, races, ethnicities, gender identities, sexual orientation, and perspectives.
How to Apply:
Application must be submitted by 11:55 p.m. (ET) of the posting end date (November 15,2024) using the Careers at UF portal.
In order to be considered, you must upload your cover letter, resume, and at least three professional references.
This position is eligible for veteran’s preference. If you are claiming veteran’s preference, please upload a copy of your DD 214 Member Copy 4 with your application for consideration. See our Veteran's Preference Page for more specific information.
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Postdoctoral Researcher in Advanced Modeling and Simulation in Reusable Transport Packaging and Circular Economy - Agricultural and Biological Engineering Department, University of Florida
Background Information:
The postdoctoral researcher will engage in advanced research focused on evaluating reverse logistics for reusable packaging to meet EU circularity requirements for U.S. specialty crop exports as part of the US Department of Agriculture's (USDA) Technical Assistance for Specialty Crops (TASC) Program. The successful candidate will lead and conduct independent research on mathematical modeling and simulation, perform data analysis, and contribute to the development of decision-support tools and manuscripts for publication. The role involves close collaboration with the Principal Investigator (PI), project partners the International Fresh Produce Association and Reusable Packaging Association, and other research team members at the University of Florida.
This is a full-time, grant-funded, 24-month position with the possibility of extension based on performance and funding availability. The salary is competitive and includes a benefits package.
Minimum Qualifications:
- A Ph.D. in Industrial Engineering, Systems Engineering, Operations Research, Applied Mathematics, or a closely related discipline.
- Strong background in AI, machine learning, network design, and systems modeling.
- Experience with mathematical modeling, simulation, and optimization in supply chain logistics.
- Familiarity with the digital twin technologies
- Demonstrated experience in publishing scientific papers.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a multidisciplinary team.
Preferred Qualifications:
- Proficiency in software tools such as Python, R, MATLAB, or similar for AI and simulation tasks.
- Experience in sustainable packaging, reverse logistics, or developing digital decision-support tools.
- Experience in sustainability assessments, e.g., life-cycle assessment (LCA), techno-economic analysis (TEA)
- Previous experience in mentoring
- Familiarity with the European Union’s Circular Economy Action Plan and packaging regulations.
How to Apply: The review of applications will begin in September 2024 and continue until the position is filled. Please apply via https://go.ufl.edu/jobboz
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Graduate Research Assistantship - Nutrient Removal - Agricultural and Biological Engineering Department, University of Florida
Background Information:
Applications are solicited for a Graduate Research Assistant (GRA) position (M.S. Level) in the Department of Agricultural and Biological Engineering (ABE) at the University of Florida (UF) under the supervision of Dr. Dengjun Wang starting from Spring 2025. We are looking for a highly motivated and creative student interested in working on nutrient (nitrogen and phosphorus) removal strategies in water. The GRA will work on a project funded by the U.S. Environmental Protection Agency (EPA) to evaluate bioretention strategy for nitrogen and phosphorus removal in water.
Minimum Qualifications:
- B.S. or B.E. in the following disciplines: Environmental Sciences; Environmental Engineering; Water and Soil Sciences; Analytical Chemistry; Ecological Engineering; and Agricultural 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:
- Knowledge in water quality and experience in water quality analysis
- Analytical skills in nutrient analysis including sample digestion and concentration qualification by UV/vis spectrophotometer, etc.
- Statistical skills for data analysis
- Experience and willingness to work in various labs, involving field works
How to Apply: Interested applicants are encouraged to contact Dr. Dengjun Wang (dengjun.wang@ufl.edu) directly with a copy of your CV, research statement, and name of three references (in one PDF file). 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/. Application packages will be reviewed immediately. -
Instructional Assistant Professor – Agricultural and Biological Engineering Department, University of Florida
Background Information:
This is a 9-month non-tenure-accruing position with the working title Instructional Assistant Professor (Classification title: Lecturer) that will be 100% teaching (College of Agricultural and Life Sciences, available in the Agricultural and Biological Engineering Department, Institute of Food and Agricultural Sciences, at the University of Florida. This assignment may change in accordance with the needs of the unit.
Minimum Qualifications:
A doctorate (foreign equivalent acceptable) in Agricultural and Biological Engineering, Mechanical Engineering, or a closely related engineering discipline is required. Experience in undergraduate instruction is required. Candidates should have demonstrated skills in verbal and written communication, interpersonal communication, teamwork, and leadership. Candidates must be supportive of the mission of the Land-Grant system. Candidates must also have a commitment to UF core values.
Preferred Qualifications:
Record of scholarship in teaching and learning, including funding and support of teaching or academic programs. Curriculum development, including designing and implementing online, hybrid, and lab-based courses to enhance student learning and engagement. Involvement in professional societies or other entities related to the discipline. Mentorship experience with undergraduate or graduate students. Experience working with interdisciplinary teams within the college and university, fostering collaboration and integrating multifaceted perspectives to improve educational outcomes.
Salary:
Commensurate with education and experience
For full consideration, candidates should apply and submit materials by September 30, 2024. The position will remain open until a viable applicant pool is determined.
How to Apply: Interested applicants, please review and submit application materials on the Careers at UF listing:
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Post-doctoral Associate Position – Hydrologic and Nutrient Transport Modeling, Agricultural and Biological Engineering Department, University of Florida
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, 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. Responsibilities include analyzing irrigation, soil, plant, hydrologic, topographic, and weather data, developing hydrologic model(s), integrating model predictions with field data, preparing reports, manuscripts, and proposals, and presenting at conferences and stakeholder meetings.
Minimum Qualifications:
- Ph.D. in agricultural/biological/civil/environmental engineering or related physical sciences
- Strong background in hydrologic modeling and nutrient transport processes
Preferred Qualifications:
- Prior experience with subsurface hydrologic models (e.g. HYDRUS)
- Background in irrigation management and machine learning models is a plus
Salary:
$50,000 - $65,000/yr, commensurate with education and experience
The position is available immediately with initial appointment for one year and is likely to be renewable depending on funding and performance. Screening of candidates will begin August 15, 2024.
How to Apply: Interested applicants, please send a resume and the names of three references to Dr Sanjay Shukla, Professor, Water Resources, Agricultural and Biological Engineering (sshukla@ufl.edu).
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Post-doctoral Research Associate - Precision Water Management, Agricultural and Biological Engineering Department, University of Florida
Background Information:
We are seeking TWO highly motivated individuals to assist with ongoing research in the Precision Water Management Lab in the Agricultural and Biological Engineering Department. The candidates will work on the integrating irrigation and nutrient management BMPs with remote sensing, decision support tools, 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 candidates should have relevant experience in precision water management and agro-hydrological modeling. The candidates will also supervise technical support staff, graduate students, and/or student workers, as assigned; prepare and write supplementary proposals to funding agencies; maintain financial records related to research projects. The successful candidates should be self-motivated, creative, and has the desire to collaborate in a multidisciplinary environment. The candidates will be expected to publish in peer-reviewed journals and conference publications. Both positions will be funded for three years and will be renewed annually with an extension contingent on performance.
Qualifications:
- Appropriate Degree (Ph.D.) degree in Agricultural and Biological Engineering, Precision Water Management, Soil and Water Science, Remote Sensing, Hydrology, or any other related,
- Knowledge and experience in applied agricultural water management research and outreach,
- Knowledge in watershed hydrology, soil science, GIS, and hydrological and/or chemical/nutrient fate and transport modeling,
- Experience and willingness to work in various field conditions,
- Excellent Data science expertise/ Programming skills – Python, R, or similar language,
- 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.
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Ph.D. Level Graduate Research Assistantship - FDACS/OAWP, Agricultural and Biological Engineering Department, University of Florida
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. Vivek Sharma and Rafael Muñoz-Carpena. The candidate will work on the Florida Department of Agricultural and Consumer Services (FDACS) Office of Agricultural Water Policy (OAWP) funded project on measurement and modeling of leaching rain events under different soil and climate settings. The project will collect data and develop an approach to quality leaching rain considering rainfall scenarios (duration, amount, and intensity) using rainfall simulator. The project will analyze the broader impacts of leaching rain on water quality, irrigation, and drainage. The further requires mechanistically identify leaching rain events for site-specific conditions compared to empirical coarser generalizations. The candidates will work on different modeling approaches to predict soil infiltration and water content for major soil types found in Florida. The successful candidate should have relevant experience in soil physics and hydrological modeling. 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.
Appointment period: The GRA will cover stipends, tuition, and fee for the Ph.D. program, starting Fall 2024 until December 2027 (3.5 years).
Minimum Qualifications:
- M.S. degree in Agricultural and Biological Engineering, Hydrology, Soil and Water Science, 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 physics, hydrological modeling.
- Experience and willingness to work in various lab and field conditions.
- Programming skills (Fortran, Mathematica, Python, R, C++, MATLAB, 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, research statement, and name of three references.
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Lab Manager - UF/IFAS Smart Agriculture Lab at the Gulf Coast Research and Education Center
Background Information:
We are seeking a motivated and skilled Postdoctoral Research Associate to join the Smart Agriculture Lab at the University of Florida. The selected candidate will work on a cutting-edge project: developing an autonomous runner cutter for strawberry production and enhancing digital twin technology for agricultural robotics training. More information on this project can be found here.
Preferred Qualifications:
- PhD in Robotics, Computer Science, Agricultural Engineering, or a related field.
- Strong programming skills in Python and C++.
- Experience with robotic systems, machine vision, and/or artificial intelligence.
- Knowledge of digital twin technology and simulation software such as NVIDIA Omniverse.
- Proven track record of published research in peer-reviewed journals.
- Excellent communication and organizational skills.
How to Apply: Interested applicants are encouraged to visit the UF Smart Agriculture Lab - Job Opportunities page for more information and a link to application.
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Lab Manager - UF/IFAS Smart Agriculture Lab at the Gulf Coast Research and Education Center
Background Information:
The Smart Agriculture Lab at the University of Florida invites applications for a Lab Operations Manager specialized in robotics prototype development. This key role involves overseeing and executing electrical work, troubleshooting, and maintaining lab inventory, along with managing basic machine shop operations crucial for developing and refining robotics prototypes. Additional responsibilities include training students, organizing field experiments, and handling logistics to support innovative agricultural technology projects.
Preferred Qualifications:
- Trade school diploma or equivalent practical experience in electrical engineering, mechanical engineering, or related technical fields.
- Strong hands-on skills with electrical systems, advanced electronics, and troubleshooting complex equipment.
- Proficiency in operating machine shop tools essential for creating and modifying robotics prototypes.
- Demonstrated ability to train and supervise students and effectively organize field experiments.
- Excellent organizational, communication, and leadership skills.
- Prior experience in a laboratory setting, particularly in robotics or agricultural technology, is highly desirable.
How to Apply: Interested applicants are encouraged to visit the UF Smart Agriculture Lab - Job Opportunities page for more information and a link to application.
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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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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 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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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