Post-Doctoral Associate-Ad-Nankar

About the role

The Post-Doctoral Associate will lead multi-location snapbean variety trials to characterize horticultural traits and identify promising breeding lines for potential release across the Southeast United States. They will also lead trichome characterization in pepper and tomato, assist with whitefly and other insect screening, and perform post-harvest fruit quality analysis. Responsibilities include preparing peer-reviewed publications, participating in grant proposal preparation, supervising research activities in the lab, greenhouse, and field, and completing assigned tasks.

Responsibilities

• Field – Lead multi-location snapbean variety trial to characterize horticultural traits to identify promising breeding lines that can be evaluated across Southeast US for potential release.
• Greenhouse – Lead trichome characterization in pepper and tomato in relation to host resistance. Assist the internal collaborators with whitefly and other insect screening.
• Laboratory – Assist in post-harvest fruit quality analysis and collaborate with internal and external collaborators.
• Prepare peer-reviewed publications, participate in grant proposal preparation, supervise graduate and undergraduate students, and seasonal workers research activities in lab, greenhouse, and field set up.
• Assigned tasks as necessary.

Requirements

• PhD in Plant Breeding or equivalent topic
• Prior experience in pre- and post-harvest biochemistry and physiology, electron microscopy, pre-breeding, genomic selection, disease resistance screening, and wet lab research
• Proficiency in script writing using Python or R
• Experience with generation and bioinformatic analysis of metabolomics, transcriptomics, and sequencing data

Qualifications

• Strong knowledge of breeding methods used in vegetable breeding
• Handle and operate analytical biochemistry, molecular biology, and high-throughput phenotyping equipment and tools
• Understand statistical principles and applications to be applied in breeding research
• Excellent oral and written communication skills
• Interest in collaborative research and ability to work in multicultural teams
• Obtain driving license and operate the vehicle

Skills

• Proficiency in script writing using Python or R
• Experience with generation and bioinformatic analysis of metabolomics, transcriptomics, and sequencing data

Benefits

Not specified

Pay

Not specified

Schedule

Not specified