Image Scientist - Advanced Vision & Imaging R&D

Applied Research Laboratory at the Penn State University; State College (Centre County); On-site; USD 116,000 - 202,000; Full time

Benefits offered by this job

Healthcare coverage

Retirement plans

Paid time off

Tuition discount

Job summary

Applied Research Laboratory at the Penn State University seeks an Image Scientist to join the Image Science and Computer Vision team in State College, PA. You will design, build, test, and integrate imaging solutions for defense, security, and geospatial applications.

The role emphasizes leadership in research projects, strong communication, and collaboration with a diverse engineering team. On-site with hybrid options based on project needs.

Qualifications

• Bachelor's Degree - Engineering or Science; 14+ years of relevant experience if Senior Professional.
• Bachelor's Degree - Engineering or Science; 5+ years of relevant experience if Advanced Professional.
• Must meet required certifications and background checks.

Responsibilities

• Lead programs and work with a collaborative team.
• Support scientific research projects by summarizing current research materials.
• Model the imaging chain for EO/SAR modalities across applications.
• Apply scientific methods to engineering and geospatial problems.
• Capture information from geospatial data to understand world events.
• Develop, mentor, and guide small-to-medium research efforts.

Skills

Imaging systems modeling

Research leadership

Communication skills

Experiment design

Multidisciplinary collaboration

Education

Bachelor's Degree - Engineering or Science

Master’s degree or higher (preferred)

Tools

Python

R

MATLAB

Job description

Applied Research Laboratory at the Penn State University seeks an Image Scientist to join the Image Science and Computer Vision team in State College, PA. You will design, build, test, and integrate imaging solutions for defense, security, and geospatial applications.

The role emphasizes leadership in research projects, strong communication, and collaboration with a diverse engineering team. On-site with hybrid options based on project needs.