Research Engineer BS4979

Campus

OSU-Stillwater

Contact Name & Email

Ning Wang

Work Schedule

Monday through Friday 8:00am-5:00pm with occasional evenings and weekends.

Appointment Length

Regular Continuous/Until Further Notice

Hiring Range

$57000 - $77000Salary

Priority Application Date

While applications will be accepted until a successful candidate has been hired interested parties are encouraged to submit their materials byto ensure full consideration.

Special Instructions to Applicants

For full consideration please include a resume (up to 5 pages) cover letter and contact information for three professional references.

About this Position

We are seeking a highly motivated Research Engineer to support cutting-edge research in agricultural robotics and automation for precision planting fertilization and other field production operations. The successful candidate will contribute to the design development testing and deployment of robotic systems and intelligent sensing and control technologies for agricultural production. This position offers an exceptional opportunity to work closely with faculty graduate and undergraduate students industry partners and funding agencies while pursuing advanced research leading to publications technology transfer and professional development

Essential Job responsibilities include research and development and research support and lab management. The successful applicant will be expected to perform and execute the following in support of funded research project(s):
Research and Development (80%)
1. Design develop integrate and operate robotic and automated systems for precision agricultural applications.
2. Design instrument and maintain laboratory and field research equipment including 3D printers embedded systems microcontrollers microcomputers GPS/GNSS receivers machine vision systems sensors wireless communication networks and data acquisition systems.
3. Plan organize and conduct laboratory and field experiments related to agricultural robotics automation sensing and controls and precision crop production.
4. Develop software and hardware solutions for robotic control sensing data collection and autonomous operation.
5. Analyze experimental data using statistical machine learning and artificial intelligence methods to evaluate system performance and generate actionable insights.
6. Prepare technical reports project deliverables journal manuscripts conference papers and presentations.
7. Present research findings at professional conferences stakeholder meetings and technical workshops.
8. Develop training materials and conduct demonstrations for project sponsors and industry stakeholders.
9. Assist faculty investigators in the preparation of competitive grant proposals and research project development.

Research Support and Laboratory Management (20%)
1. Support research activities under the supervision of faculty investigators including literature reviews technology evaluations and implementation of engineering designs.
2. Maintain and troubleshoot laboratory equipment computing resources software systems and research infrastructure.
3. Monitor laboratory and field research facilities to ensure efficient operation and data quality.
4. Supervise and mentor undergraduate and graduate students participating in research projects.
5. Ensure compliance with university policies research protocols safety requirements and quality assurance standards.
6. Coordinate laboratory and field activities to support timely completion of project objectives.
7. Maintain accurate research records documentation and project files

Biosystems and Agricultural Engineering is a unique department shared between two colleges Ferguson College of Agriculture and the College of Engineering Architecture and Technology. We take pride in being an inclusive department in which students from any background can feel comfortable supported and successful. For more information visit: Qualifications

• Bachelors in Biosystems and Agricultural Engineering Electrical Engineering Mechanical Engineering Computer Engineering or related field
  (degree must be conferred on or before agreed upon start date)

• 1) Minimum of two (2) years of professional research or graduate-level experience in the design development and implementation of smart sensing instrumentation automation or control systems for agricultural biological environmental or related engineering applications 2) a minimum of two (2) years of experience in prototype development and system integration including the use of 3D printing electronic instrumentation embedded systems sensors and machine shop tools and equipment 3) experience in CAD-based mechanical design using SolidWorks or equivalent tools including system-level prototype design 4) experience planning organizing and conducting laboratory and field experiments including data collection system evaluation troubleshooting and documentation of research results and 5) demonstrated experience in data analysis interpretation of experimental results and preparation of technical reports presentations or scholarly publications.

Certifications Registrations and/or Licenses:

Driver license is required.

Skills Proficiencies and/or Knowledge:

1) Demonstrated proficiency in the design development integration and troubleshooting of microcontroller-based sensing instrumentation automation and control systems 2) proficiency in rapid prototyping and fabrication including 3D printing CAD design and operation of machine shop tools and equipment 3) strong analytical and quantitative skills including experience applying statistical methods multivariate analysis and machine learning techniques to research data 4) proficiency in programming using Python and MATLAB for data analysis automation modeling and system development 5) knowledge of machine vision robotics autonomous systems GPS/GNSS technologies and precision agriculture applications is highly desirable 6) ability to design conduct and document laboratory and field experiments 7) ability to load/unload heavy equipment and haul a trailer to a long distance 8) ability to operate machines to fabricate mechanical parts and prototyping materials 9) ability to troubleshoot mechanical/electrical problems in field 10) strong written and verbal communication skills with the ability to prepare technical reports scientific publications presentations and training materials and 11) ability to work effectively both independently and collaboratively in multidisciplinary research teams.

Preferred Qualifications

• Masters in Biosystems and Agricultural Engineering Electrical Engineering Mechanical Engineering Computer Engineering or related field

• 1) Experience on designing and integrating robotic autonomous or mechatronic systems for agricultural applications
  2) experience on developing software for embedded systems robotics machine vision data acquisition or autonomous control using Python C/C MATLAB ROS/ROS2 or similar platforms 3) experience on applying machine learning artificial intelligence computer vision or sensor fusion techniques to agricultural applications 4) experience on managing or contributing to externally funded research projects including project planning progress reporting and coordination of research activities 5)experience on publishing peer-reviewed journal articles conference proceedings and technical reports 6) experience on presenting technical information to diverse audiences 7) experience mentoring supervising or training undergraduate students graduate students or technical personnel in laboratory and field research activities 8) experience conducting agricultural field experiments involving crop production agricultural machinery precision agriculture technologies or automated farming systems and 9) demonstrated ability to work independently and contribute effectively within multidisciplinary research teams.

Certifications Registrations and/or Licenses:

FE or PE

Skills Proficiencies and/or Knowledge:

1) Advanced proficiency in robotics mechatronics or autonomous systems design with applications in agriculture or related field environments 2) strong experience in embedded systems development including sensor integration real-time control and edge computing for smart sensing applications 3) proficiency with robotics and autonomy software frameworks (e.g. ROS/ROS2) and hardware-software co-design for robotic systems 4) experience with computer vision machine learning and AI-based perception systems for field or agricultural applications 5) knowledge of precision agriculture technologies including GNSS/RTK systems variable-rate application and site-specific crop management
6) additional experience in C/C/Java is highly desirable 7) experience on operating agricultural equipment and 8) ability to drive long distance to conduct field and lab experiments