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Phd Vision Science Jobs in Oklahoma (NOW HIRING)

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Phd Vision Science information

What is a PhD in Vision Science?

A PhD in Vision Science is an advanced research degree focused on the study of visual systems, including how vision works and how visual disorders are diagnosed and treated. Students in these programs explore topics such as ocular anatomy, visual perception, neuroscience, and eye diseases. Graduates often pursue careers in academia, clinical research, optometry, or the development of new vision technologies. The program typically involves both coursework and original research leading to a dissertation.

What are the key skills and qualifications needed to thrive as a PhD in Vision Science?

To thrive as a PhD in Vision Science, you need advanced knowledge of ocular anatomy, physiology, optics, research methodology, and often experience in clinical or laboratory settings. Proficiency with data analysis tools (such as MATLAB or Python), imaging systems, and scientific publishing platforms is typically required. Strong critical thinking, problem-solving, and effective communication skills distinguish successful professionals in this field. These skills are essential for conducting high-quality research, driving innovation, and effectively sharing findings with both scientific and clinical communities.

What are some typical research collaborations for someone in a PhD Vision Science role?

PhD Vision Science professionals often work closely with interdisciplinary teams that include optometrists, ophthalmologists, neuroscientists, and engineers. Collaborations frequently involve designing and conducting experiments, sharing data, and co-authoring publications to advance understanding of visual processes and eye diseases. These partnerships can extend to industry settings—such as developing vision correction technologies or diagnostic tools—offering diverse opportunities to broaden your research impact and professional network.

What is the difference between Phd Vision Science vs Optometrist?

AspectPhd Vision ScienceOptometrist
Required CredentialsPhD in Vision Science or related fieldDoctor of Optometry (OD) license
Work EnvironmentResearch labs, academia, industryClinical settings, private practices, clinics
Industry UsageResearch, product development, academiaPatient eye care, vision testing, prescriptions

While both roles focus on vision, a Phd Vision Science primarily involves research and development in vision-related fields, whereas an Optometrist provides clinical eye care and prescriptions. The PhD is research-oriented, often in labs or academia, while optometrists work directly with patients in clinical settings.

What can I do with a Phd vision science degree?

A PhD in vision science prepares individuals for research, academia, and advanced roles in vision-related industries such as ophthalmology, optometry, and biomedical device development. Graduates often work as university professors, research scientists, or in industry roles involving vision technology, requiring skills in data analysis, experimental design, and scientific communication.

What are popular job titles related to Phd Vision Science jobs in Oklahoma?

For Phd Vision Science jobs in Oklahoma, the most frequently searched job titles are:

What cities in Oklahoma are hiring for Phd Vision Science jobs?

Cities in Oklahoma with the most Phd Vision Science job openings:

Senior Associate, Computer Vision AI

L3HHCM20

Tulsa, OK • On-site

Full-time

Posted 5 days ago


Job description

Job Title:  Senior Associate, Computer Vision AI

Job Code:  40041

Job Location:  Tulsa, OK

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off   

Job Description:  

Primary job duty is to work as an AI intern for computer vision tasks as part of an integrated team developing machine learning (ML) models and enabling ML Operations (MLOps) features for a diverse set of computer vision problems from material inspection to ISR tactical systems working on the edge.

Essential Functions: 

  • Development of AI models for computer vision applications
  • Development of applied AI for edge systems on a team in an academic setting
  • Proficient in Python and able to learn and apply new technologies quickly
  • Understands ontologies and the value they provide.

Qualifications: 

  •  To be eligiable, applicants must be pursuing a masters in Computer Science, Data Science, or a related technical field or have completed their PhD in the last 12 months, regardless of age. 

Preferred Additional Skills: 

  • Academic experience and projects applying Python for general programming tasks and excuting AI model training experiments and evaluation
  • Familiarity with AI tools such as PyTorch, TensorFlow, TensorRT, ONNX, and MLFlow     
  • Experience completing software development tasks in an Agile work management framework in an industry or academic setting
  • Experience with deploying AI to SOC Devices such as NVIDIA Xavier, Orin
  • Experience with real-time, image processing applications
  • Experience with AI model development for infrared imagery