The Institute for Plant Sciences looks for an inspired, energetic Post-doc to join the phenotyping facilities at Purdue University.

Location: AgAlumni Seed Phenotyping Facility (AAPF), West Lafayette, IN

Specific responsibilities of the position:

• Coordinate the development of optimal operation procedures that enable efficient, consistent, and safe operation of the Xray-CT imaging system at AAPF
• Implement/fine-tune segmentation algorithms for root systems of multiple species in various potting media; create critical and novel phenotypic root traits in plants of various species to facilitate and enable assessment of plant root growth and performance under different environmental conditions
• Collaborate with the managers of AAPF to coordinate data collection events using the Xray CT system; coordinate with team members in managing and processing the acquired data
• Work as one of the focal-point persons in delivering data (raw and processed data) to customers of the facility
• Work individually or as a team member in projects with academic and industry partners. Conduct applied scientific research with the projects

Required qualifications:

• Ph. D. degree in computer science, electronic engineering, information technology, computational biology, agricultural and biosystem engineering and other relevant background with proven hands-on experience in image analysis, machine vision, and/or machine learning
• Excellent communication and collaboration skills to work with plant biologists, IT support team, engineers and algorithm developers

Preferred qualifications:

• Strong experience in image analysis and machine vision techniques
• Knowledge modern machine learning techniques, such as deep learning and reinforcement learning methods
• Knowledge and experiences in multiple programming languages and platforms (e.g. Matlab, ImageJ, Python, C/C++, etc.)

Salary and Benefits: Salary commensurate with experience.  Fringe benefits also provided.

Application Procedure: Qualified persons are requested to send a letter of application including a 1-page (maximum) statement of research goals, curriculum vitae, 1 representative example of their scholarly work, and the names and contact information for three references electronically to Dr. Yang Yang, Director of Digital Phenomics, via:

internal applicant link - https://performancemanager8.successfactors.com/sf/jobreq?jobId=21075&company=purdueuniv or 

external applicant link - https://careers.purdue.edu/job-invite/21075/

Purdue Institute for Plant Sciences information is available at:  

 https://ag.purdue.edu/plantsciences/

Purdue University is an EOE/AA employer.  All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.