Post Doctoral Scholar

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact [email protected]. If you have questions while submitting an application, please review these frequently asked questions.

Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.

Welcome to The Ohio State University's career site.  We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

• Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.

• Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. 

Job Title:

Department:

The imaging-in-plants Postdoctoral Scholar will serve in the Division of Biostatistics, College of Public Health, at The Ohio State University and is responsible for executing statistical and computational research activities focused on novel methods development for processing, segmentation, and trait extraction from 3D CT images of plant roots under the mentorship and training of the assigned faculty supervisor. This role requires a solid foundation of discipline‑specific knowledge in plant physiology, CT imaging, and deep learning/AI, and the ability to generate innovative ideas and novel lines of inquiry that contribute to the team’s scientific objectives. The postdoctoral scholar will design and execute experiments logically and efficiently, interpret data accurately, and apply appropriate analytical approaches to support research conclusions. The position requires effective use and understanding of plant physiology, high performance computing, maintaining accurate and thorough research records and code documentation, and staying current with new techniques and emerging methodologies. Ongoing engagement with scientific literature is essential to inform experimental design, support project development, and ensure alignment with current best practices in the field. This role will lead and/or contribute to the dissemination of research findings through the preparation of manuscripts and giving presentations of findings at professional conferences in plant phenotyping. The postdoctoral scholar will approach their work collaboratively, valuing constructive mentorship, open exchange of ideas, and active participation in the intellectual life of the unit. This role may include the training and mentorship of early career scientists in the research group, engaging with community partners and external research collaborators, and participating in grant writing, service, and/or teaching-related activities that support the team’s overall scientific objectives and postdoctoral scholar’s professional development

This position will end on or before May 31, 2027, with possibility of renewal based on continued availability of funding and performance.

Additional Information:

Minimum Required Qualifications

• PhD in Statistics, Engineering, or related discipline with experience developing or using image processing and segmentation software and AI models.
• Experience coding in python and using plant root segmentation software
• Experience segmenting 3D CT images in plant sciences
• Experience with high performance computing/high throughput computing resources for research
• Evidence of previous relevant research publications.
• Strong scientific writing skills, experience in manuscript preparation, and the ability to communicate research in scientific posters and presentations are essential.

Preferred Qualifications

• Candidates should have experience working and developing with pyTorch
• Experience with distributed and high-throughput computing and the SLURM scheduler
• Knowledge of plant phenotyping

Pay Range: $62,232-$70,000 annual estimated base salary

Salary will be based off of education, experience, internal equity, and budget allowance.

60%: Research and Computational Work: Lead and support studies of novel AI methods for 3D CT image pre-processing, segmentation, and trait extraction informed by knowledge of root physiology and root system architecture.

20%: Scientific communication: Lead and support the preparation and submission of manuscripts resulting from the research and quantitative work. Lead and support the preparation and presentation of the research and results via scientific posters, oral presentations, and seminars.

15%: Research Operations and Technical Support: Help manage the research project by organizing, storing, and working with images and metadata collected by other researchers. Support the implementation of hardware and software, standard operating procedures, and contribute to the optimization of workflows.

5%: Other special projects and duties to support departmental and team research work as assigned.

Location:

Position Type:

Scheduled Hours:

Shift:

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.

The university is an equal opportunity employer, including veterans and disability.