OPS Research Assistant

Classification Title:

OPS Research Assistant

Job Description:

• Two part-time or full-time research assistant position working on medical artificial intelligence (LLM, generative AI, precision medicine, equitable AI) in medical images/text analysis is available to work/train under the supervision of Dr. Ruogu Fang (https://www.bme.ufl.edu/labs/fang/ruogu/index.html) at the University of Florida. 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.

  Responsibilities will include (1) to build and develop a foundation artificial intelligence (AI) system for medical images, and (2) build text-image generative models for medical data. The successful candidates are expected to start on 11/1/2024. The candidate will be trained and will work under the direct supervision of the Principal Investigators (PI) and postdocs. The ideal candidate should be interested in AI/deep learning and medical data analysis.

Expected Salary:

$15-$18 per hour

Minimum Requirements:

B.S. or B.E. (or close to graduation) in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, or related fields. Candidates should have proficiency with Python.

Preferred Qualifications:

 

• Experience with Pytorch or Tensorflow
• Experience with MATLAB preferred but not required
• Experience with AI and deep learning
• Experience with image processing preferred, but not required

Special Instructions to Applicants:

Applicants should send a CV, transcript (of all institutions in the past), a brief statement of interest, and contact information for two references to Dr. Ruogu Fang at Ruogu.Fang@bme.ufl.edu and Chintan Acharya at chintan.acharya@ufl.edu. Review of applications will start immediately and continue until the position is filled. The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training.

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

Health Assessment Required: No