Postdoctoral Associate

The University of Florida invites applications for a Postdoctoral Scholar to join the BioVision Lab, led by Dr. Arthur Porto. This position focuses on developing and applying cutting-edge AI models to enhance biodiversity research, with an emphasis on biological collections and trait analysis. The successful candidate will contribute to advancing our understanding of biodiversity through innovative AI approaches.

Key Responsibilities:

• Develop and implement AI-based techniques for trait extraction and classification of biodiversity data.
• Contribute to the development of tools and methodologies for analyzing large-scale biological datasets.
• Conduct independent research, prepare manuscripts, and present findings at conferences and workshops.
• Collaborate with team members on various aspects of AI applications in biodiversity research.

Desired Start Date:  February 1st, 2025; depending on availability.

Duration: This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may be renewed for up to one additional year.

Why Join Us:

The University of Florida offers a vibrant research environment with access to cutting-edge facilities and a collaborative community of scholars. As a Postdoctoral Scholar in the BioVision Lab, you will have the opportunity to work on pioneering research at the intersection of AI and biodiversity, contributing to meaningful scientific advancements and societal impact.

About the Lab:

BioVision Lab: Led by Dr. Arthur Porto, the BioVision Lab specializes in leveraging AI and computer vision to address key questions in biology and biodiversity. The lab is dedicated to pushing the boundaries of what AI can achieve in understanding the natural world. See more at www.biovisionlab.com

$60,000 – $62,000; commensurate with education and experience

Ph.D. in Computer Science, Biology, or a related field

• Proficiency in programming languages such as Python and R.
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a highly collaborative team.
• Excellent written and verbal communication skills.
• Experience with biodiversity databases and datasets.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Familiarity with phylogenetics and its applications in biodiversity research.
• Knowledge of computer vision techniques applied to biological collections.

Interested candidates should upload the following documents:

1. A cover letter describing research experience and interest in the position.
2. A current curriculum vitae (CV).
3. Contact information for three professional references.
4. A representative publication or preprint.

For further information, contact Dr. Arthur Porto at arthur.porto@ufl.edu.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.