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Electrical Engineer Research Assistant Jobs in Florida

Tait

Electrical Engineer

Orlando, FL · On-site

... schematics, assist in troubleshooting electrical issues, and conduct tests to ensure the ... This includes the research and specification of components from industry manufacturers for ...

Luxus

Electrical Engineer

Sanford, FL · On-site

$70K - $145K/yr

... * Assist with or lead shop drawing reviews, RFI responses, and quality checks on electrical design ... Research materials, equipment, systems, and emerging technologies to support project requirements

Luxus

Electrical Engineer

Sanford, FL · Hybrid

$97K - $144K/yr

... * Assist with or lead shop drawing reviews, RFI responses, and quality checks on electrical design ... Research materials, equipment, systems, and emerging technologies to support project requirements

Luxus

Electrical Engineer

Sanford, FL · Hybrid

$97K - $144K/yr

... * Assist with or lead shop drawing reviews, RFI responses, and quality checks on electrical design ... Research materials, equipment, systems, and emerging technologies to support project requirements

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Electrical Engineer Research Assistant information

What does an electrical engineer research assistant do?

An Electrical Engineer Research Assistant supports research projects in the field of electrical engineering by assisting with experiments, collecting and analyzing data, and maintaining laboratory equipment. They often help design prototypes, prepare technical reports, and collaborate with senior engineers and researchers. Their work is crucial for advancing new technologies and contributing to scientific discoveries in areas such as electronics, power systems, and communications.

What are the key skills and qualifications needed to thrive as an electrical engineer research assistant?

To thrive as an Electrical Engineer Research Assistant, you need a solid background in electrical engineering fundamentals, laboratory techniques, and data analysis, usually supported by a relevant degree or coursework. Familiarity with simulation tools (like MATLAB or SPICE), programming languages, and laboratory equipment is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you stand out in this role. These competencies ensure accurate research outcomes, efficient project execution, and productive collaboration within research teams.

What are some common challenges faced by electrical engineer research assistants during project development?

Electrical Engineer Research Assistants often encounter challenges such as troubleshooting complex circuit designs, adapting to rapidly changing project requirements, and balancing multiple tasks under tight deadlines. They may also need to quickly learn new software or laboratory equipment and ensure accurate data collection for experimental results. Collaborating effectively with senior engineers, researchers, and interdisciplinary teams is essential to overcoming these challenges and ensuring project success.

What is the difference between Electrical Engineer Research Assistant vs Electrical Engineer?

AspectElectrical Engineer Research AssistantElectrical Engineer
Required CredentialsBachelor's degree in electrical engineering or related field; some roles may prefer or require a master's degreeBachelor's degree in electrical engineering; professional licensure (PE) may be required for certain roles
Work EnvironmentResearch labs, academic institutions, or corporate R&D departmentsDesign, develop, test electrical systems; manufacturing or field sites
Employer & Industry UsageUniversities, research institutions, tech companiesManufacturers, utility companies, consulting firms

The main difference is that Electrical Engineer Research Assistants focus on supporting research projects, often in academic or R&D settings, while Electrical Engineers are involved in designing and implementing electrical systems in various industries. Research assistants typically work under supervision, whereas electrical engineers take on more independent responsibilities in project development and execution.

What are popular job titles related to Electrical Engineer Research Assistant jobs in Florida?

For Electrical Engineer Research Assistant jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Electrical Engineer Research Assistant jobs in Florida look for?

The top searched job categories for Electrical Engineer Research Assistant jobs in Florida are:

What cities in Florida are hiring for Electrical Engineer Research Assistant jobs?

Cities in Florida with the most Electrical Engineer Research Assistant job openings:

Electrical Engineer Research Assistant jobs near you
Infographic showing various Electrical Engineer Research Assistant job openings in Florida as of August 2026, with employment types broken down into 76% Full Time, 17% Part Time, and 7% Contract. Highlights an 100% In-person job distribution.

Research Assistant Scientist

University of Florida

Gainesville, FL • On-site

Full-time

Re-posted 24 days ago

University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

390th of 628 rated colleges and universities

Job description

Research Assistant Scientist
Job no: 540847
Work type: Non-Tenure-Track Faculty
Location: Main Campus (Gainesville, FL)
Categories: Medicine/Physicians
Department:29080100 - MD-PATHOLOGY-GENERAL
Classification Title:Research Assistant Scientist
Classification Minimum Requirements:
  • Ph.D. in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, Electrical Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field.
  • Demonstrated experience developing AI and machine learning models for biomedical applications.

Job Description:
The University of Florida Diabetes Institute (UFDI) invites applications for a full-time, non-tenure-track Assistant Scientist to join an interdisciplinary research environment focused on advancing the prevention, prediction, and treatment of diabetes through artificial intelligence, computational biology, and precision medicine. The successful candidate will contribute to the development and application of innovative AI and machine learning approaches that accelerate discovery across basic, translational, and clinical diabetes research
Research efforts may support initiatives such as:
  • AI-enabled discovery of novel diabetes therapies
  • Precision medicine for Type 1 and Type 2 diabetes
  • Human pancreas imaging and spatial biology
  • Digital pathology and computational tissue analysis
  • Clinical decision support using EHR data
  • Translational validation using human biospecimens and experimental model system
  • Artificial intelligence and machine learning for diabetes research, including Type 1 and Type 2 diabetes
  • Computational pathology and digital pathology using whole slide imaging (WSI)
  • Spatial biology, spatial transcriptomics, and multi-omics data integration
  • Large language models (LLMs) and foundation models for biomedical research
  • Electronic Health Record (EHR) analytics and clinical data integration
  • Biomedical image analysis and quantitative microscopy
  • High-performance computing (HPC) and scalable AI pipelines
  • Development of reproducible software tools and computational workflows for biomedical research

Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes.
Design and implement computational tools for integrating imaging, genomic, transcriptomic, proteomic, metabolomic, and clinical datasets.
Develop scalable software applications and maintain research code using modern software engineering practices.
Apply AI methods to whole slide images, microscopy datasets, spatial transcriptomics, and EHR-derived clinical data.
Collaborate with multidisciplinary teams of clinicians, computational scientists, engineers, statisticians, and laboratory investigators.
Lead and participate in collaborative research projects spanning basic science, translational research, and clinical applications.
Prepare scientific manuscripts, conference presentations, and competitive grant applications.
Mentor graduate students, postdoctoral fellows, research staff, and trainees.
Expected Salary:
Commensurate with education and experience
Required Qualifications:
  • Ph.D. in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, Electrical Engineering, Bioinformatics, Statistics, Applied Mathematics, Physics, or a closely related STEM field.
  • Demonstrated experience developing AI and machine learning models for biomedical applications.
  • Strong programming experience in Python and/or R.
  • Experience with Git/GitHub and collaborative software development.
  • Experience working in Linux and high-performance computing environments.
  • Evidence of scholarly productivity through peer-reviewed publications.

Preferred:
  • Experience applying AI or machine learning to diabetes, metabolic disease, immunology, or other complex biomedical diseases.
  • Experience with digital pathology, computational pathology, whole slide image analysis, or quantitative microscopy.
  • Experience integrating multi-modal datasets, including genomics, transcriptomics, spatial transcriptomics, proteomics, metabolomics, imaging, and EHR data.
  • Experience with modern deep learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and SciPy.
  • Familiarity with convolutional neural networks (CNNs), graph neural networks (GNNs), transformer architectures, foundation models, and large language models (LLMs).
  • Experience developing reproducible biomedical software and AI workflows.
  • Demonstrated success contributing to grant proposals or securing research funding.
  • Experience mentoring students and junior investigators.

Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume.
Applicants should apply online and include a curriculum vitae, a letter outlining interests, and three letters of reference. The letters may also be sent directly to Dr. Todd Brusko (tbrusko@ufl.edu), Search Committee Chair, and copy Stacey Oliver (oliversl@ufl.edu).
The successful candidate will be required to provide an 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 educational institutions outside of the United States must
be evaluated by a professional credentialing service provider approved by the National Association
of Credential Evaluation Services (NACES), which can be found at
http://www.naces.org/.
The Search Committee will accept applications until the position is filled. Applications will be reviewed on an ongoing basis by the committee.
Health Assessment Required:No
Advertised: 07 Aug 2026 Eastern Daylight Time
Applications close:
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It 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 to facilitate interdisciplinary collaboration. 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. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

1853

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