Postdoctoral Associate in AI-Empowered Brain Health

Thursday 5th October 2023

Contact Email for the Job Posting [email protected]
Organization University of Florida
Location Gainesville, FL. USA
Title Postdoctoral Associate in AI-Empowered Brain Health
URL https://explore.jobs.ufl.edu/en-us/job/519971/postdoctoral-associate
Closing date Oct 31, 2024

Description
Postdoctoral Associate
University of Florida, Gainesville, FL. United States
THE SMART MEDICAL INFORMATICS LEARNING AND EVALUATION (SMILE) LAB IS LOOKING FOR A POSDOC POSITION FOR AN INITIAL ONE-YEAR APPOINTMENT AND HAS THE POTENTIAL TO BE RENEWED FOR AN ADDITIONAL 1-2 YEARS.

Job Description
We are seeking a highly self-motivated and qualified machine learning and medical image analysis researcher to join the Smart Medical Informatics Learning and Evaluation (SMILE) Lab led by Dr. Ruogu Fang (https://www.bme.ufl.edu/labs/fang/ruogu/index.html) at the University of Florida as a postdoctoral associate. Our group focuses on artificial intelligence (AI)-empowered brain health and neuroscience-inspired AI, by developing innovative and precision diagnosis and intervention tools using advanced machine learning techniques.

Your role will be to lead, develop, and publish impactful research applying machine learning methods for multimodal medical data analysis to improve the brain health. Medical data will come from a variety of resources including multimodal neuroimaging, retinal images, electronic health records, genomics. Our research spans a wide range of domains and clinical applications, including prevention, diagnosis, intervention, and prediction of neurodegenerative diseases, and more. The successful candidate will make effective contributions towards ongoing research projects, and will lead, design, and implement new brain health relevant projects.
University of Florida and J. Crayton Pruitt Family Department of Biomedical Engineering

University of Florida (UF)’s High Performance Computing and Big Data Analytics: This work will benefit from the enhanced research computing GPU infrastructure at UF afforded by the recent NVIDIA investment. UF’s High Performance Computer, HiPerGator, was ranked the 22nd most powerful and 2nd most energy efficient in the world in 2021. UF’s AI initiative is providing a substantial investment in the development and application of novel methods to challenging problems, https://ai.ufl.edu/.
The J. Crayton Pruitt Family Department of Biomedical Engineering is housed in a state-of-the art building that is located in the medical school and steps from engineering. The University of Florida is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus. UF is a highly collaborative environment that provides researchers with many opportunities for learning (e.g., top seminar programs, excellent core research facilities) and research collaborations. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality.

The J. Crayton Pruitt Family Department of Biomedical Engineering is one of only a few departments in the nation to be co-localized with a top-ranked medical school, veterinary school and dental school. The department is housed in a new state-of-the-art building (completed in 2010) that is co-located with the medical school and steps from engineering. Biomedical Engineering at UF partners with many local research centers and institutes including the McKnight Brain Institute, the Clinical and Translational Science Institute, the National High Magnetic Field Laboratory and the Malcom Randall VA Medical Center.

Job Qualifications
Mandatory Qualifications:
• Ph.D. degree in computer science, electrical and computer engineering, biomedical engineering, applied mathematics, statistics, neuroscience, or related fields
• Significant experience in machine learning, deep learning, image processing, computer vision, and/or data science
• Proficient in Python
• Track record of innovative research and successful publications
• Excellent written and verbal communication skills
• Ability to work both independently and in a team
Preferred Qualifications:
• Experience with medical image is a plus
• Experience with PyTorch, TensorFlow, or Keras is a plus
• Experience working with neuroimaging, neuroimage analysis, FSL/FreeSurfer/SPM/MONAI is a plus
• Experience with medical imaging data, e.g., MRI, CT, X-ray, fundus, OCT is a plus.
• Experience in radiomics, medical image segmentation, detection, classification, prediction are strongly encouraged to apply.
Instructions
Apply Online: https://explore.jobs.ufl.edu/en-us/job/519971/postdoctoral-associate
Special Instructions to applicants: In addition to applying online to Careers at UF, Applicants should send a cover letter of interest highlighting research and long-term career goals, curriculum vitae, and the names and email addresses of three or more references to Dr. Ruogu Fang at [email protected]. Review of applications will start immediately and continue until the position is filled.
Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.
The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.
The University of Florida is An Equal Employment Opportunity Institution. If an accommodation due to a disability is needed to apply for this position, please call 352/392-2477 or the Florida Relay System at 800/955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law.
If you have any questions regarding this position, you may e-mail Dr. Ruogu Fang at [email protected].
EXPECTED SALARY:
Salary is negotiable, commensurate with education and experience.
 
Closing Date: Open until the position is filled
JOB DESCRIPTION:
We are seeking a highly self-motivated and qualified machine learning and medical image analysis researcher to join the Smart Medical Informatics Learning and Evaluation (SMILE) Lab led by Dr. Ruogu Fang (https://www.bme.ufl.edu/labs/fang/ruogu/index.html) at the University of Florida as a postdoctoral associate. Our group focuses on artificial intelligence (AI)-empowered brain health and neuroscience-inspired AI, by developing innovative and precision diagnosis and intervention tools using advanced machine learning techniques.
Your role will be to lead, develop, and publish impactful research applying machine learning methods for multimodal medical data analysis to improve brain health. Medical data will come from a variety of resources including multimodal neuroimaging, retinal images, electronic health records, and genomics. Our research spans a wide range of domains and clinical applications, including prevention, diagnosis, intervention, and prediction of neurodegenerative diseases, and more. The successful candidate will make effective contributions toward ongoing research projects, and will lead, design, and implement new brain health relevant projects.
EXPECTED SALARY:
Salary is negotiable, commensurate with education and experience.
INSTITUTION:
University of Florida and J. Crayton Pruitt Family Department of Biomedical Engineering
University of Florida (UF)’s High Performance Computing and Big Data Analytics: This work will benefit from the enhanced research computing GPU infrastructure at UF afforded by the recent NVIDIA investment. UF’s High Performance Computer, HiPerGator, was ranked the 22nd most powerful and 2nd most energy efficient in the world in 2021. UF’s AI initiative is providing a substantial investment in the development and application of novel methods to challenging problems, https://ai.ufl.edu/.
The J. Crayton Pruitt Family Department of Biomedical Engineering is housed in a state-of-the art building that is located in the medical school and steps from engineering. The University of Florida is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus. UF is a highly collaborative environment that provides researchers with many opportunities for learning (e.g., top seminar programs, excellent core research facilities) and research collaborations. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality.
The J. Crayton Pruitt Family Department of Biomedical Engineering is one of only a few departments in the nation to be co-localized with a top-ranked medical school, veterinary school and dental school. The department is housed in a new state-of-the-art building (completed in 2010) that is co-located with the medical school and steps from engineering. Biomedical Engineering at UF partners with many local research centers and institutes including the McKnight Brain Institute, the Clinical and Translational Science Institute, the National High Magnetic Field Laboratory and the Malcom Randall VA Medical Center.
JOB QUALITIFICATIONS:
Mandatory Qualifications:
• Ph.D. degree in computer science, electrical and computer engineering, biomedical engineering, applied mathematics, statistics, neuroscience, or related fields
• Significant experience in machine learning, deep learning, image processing, computer vision, and/or data science
• Proficient in Python
• Track record of innovative research and successful publications
• Excellent written and verbal communication skills
• Ability to work both independently and in a team
Preferred Qualifications:
• Experience with the medical image is a plus
• Experience with PyTorch, TensorFlow, or Keras is a plus
• Experience working with neuroimaging, neuroimage analysis, FSL/FreeSurfer/SPM/MONAI is a plus
• Experience with medical imaging data, e.g., MRI, CT, X-ray, fundus, and OCT is a plus.
• Experience in radiomics, medical image segmentation, detection, classification, prediction are strongly encouraged to apply.
Instructions
Apply: https://explore.jobs.ufl.edu/en-us/job/519971/postdoctoral-associate
Special Instructions to Applicants: In addition to applying online to Careers at UF, Applicants should send a cover letter of interest highlighting research and long-term career goals, curriculum vitae, and the names and email addresses of three or more references to Dr. Ruogu Fang at [email protected]. Review of applications will start immediately and continue until the position is filled.
Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.
The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.
The University of Florida is An Equal Employment Opportunity Institution. If accommodation due to a disability is needed to apply for this position, please call 352/392-2477 or the Florida Relay System at 800/955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law.
If you have any questions regarding this position, you may e-mail Dr. Ruogu Fang at [email protected].