1

Summer Computer Vision Postdoc Jobs in California

Showing results 41-60

Summer Computer Vision Postdoc information

What is a summer computer vision postdoc?

A Summer Computer Vision Postdoc is a temporary research position, typically lasting a few months over the summer, for individuals who have recently earned a PhD in a relevant field such as computer science or electrical engineering. The role focuses on conducting advanced research in computer vision, which involves enabling computers to interpret and process visual information from the world. Postdocs work alongside faculty and research teams, contributing to projects, publishing papers, and gaining additional experience before pursuing faculty positions or industry roles. These positions often emphasize innovation, collaboration, and the practical application of state-of-the-art computer vision techniques.

What are the typical challenges faced by a summer computer vision postdoc working in a research environment?

As a Summer Computer Vision Postdoc, you may encounter challenges such as adapting quickly to new research topics, handling large and complex datasets, and optimizing algorithms for practical performance. Collaboration with interdisciplinary teams is common, requiring clear communication of technical concepts to colleagues from diverse backgrounds. Additionally, you will likely balance multiple projects within a limited timeframe, making effective time management and prioritization essential for success.

What are the key skills and qualifications needed to thrive as a summer computer vision postdoc, and why are they important?

To thrive as a Summer Computer Vision Postdoc, you need a strong background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), image processing libraries (like OpenCV), and version control systems (e.g., Git) is essential. Excellent problem-solving abilities, research communication skills, and the ability to collaborate with multidisciplinary teams will make you stand out in this role. These skills ensure you can effectively develop novel algorithms, communicate findings, and contribute to advancing the state of computer vision research.

What are the most commonly searched types of Computer Vision Postdoc jobs in California?

The most popular types of Computer Vision Postdoc jobs in California are:

What are popular job titles related to Summer Computer Vision Postdoc jobs in California?

For Summer Computer Vision Postdoc jobs in California, the most frequently searched job titles are:

What job categories do people searching Summer Computer Vision Postdoc jobs in California look for?

The top searched job categories for Summer Computer Vision Postdoc jobs in California are:

What cities in California are hiring for Summer Computer Vision Postdoc jobs?

Cities in California with the most Summer Computer Vision Postdoc job openings:

Full-Time CS Postdoctoral Teaching Fellow

San Francisco Bay University

Fremont, CA • On-site

$95K - $105K/yr

Full-time

Re-posted 24 days ago


Job description

About San Francisco Bay University:
San Francisco Bay University (SFBU), a nonprofit, WASC-accredited university in the heart of Silicon Valley in Fremont, California, seeks an innovative and experienced Full-time CS Postdoctoral Teaching Fellow. SFBU's mission is to offer inclusive, innovative, and inspirational education for lifelong careers, and our vision is to set the standard as a national model of higher education in service of the common good.
At SFBU, students come first. We prioritize students' needs by fostering personal engagement among students, faculty, and staff. We are committed to providing affordable, quality education with a deep commitment to diversity, equity, inclusion, and social justice.
We encourage you to learn more about SFBU by reviewing our strategic plan at https://www.sfbu.edu/strategic-plan.
Position Summary
SFBU invites applications for a Full-time CS Postdoctoral Teaching Fellow with a preferred specialization in AI/ML, Networking, or Cybersecurity. The successful candidate will contribute to our Computer Science programs at both undergraduate and graduate levels, support curricular innovation, and provide mentorship to a diverse student body.
This is a full-time, non-tenure-track position, located in Fremont, CA, intended for individuals with deep subject expertise, a passion for teaching, and a desire to help shape the future of technology education. The appointment begins on Jan 1, 2026, with an initial 12-month contract, renewable based on performance.
At SFBU, faculty are content experts and active participants in our evolving teaching culture. We expect all faculty to consistently reflect on and revise their teaching practices, including content, pedagogy, and assessment, in alignment with the university's learner-centered, inclusive, and experiential teaching values. Ongoing engagement with faculty development activities through the Center for Empowerment and Pedagogical Innovation (CEPI) is a core part of the role.
Responsibilities
  • Teach 7 courses per academic year across fall, spring, and summer terms (2-3 courses per term; classes capped at 20 students).
  • Redesign and develop course materials, pedagogical strategies, and assessments in alignment with SFBU's teaching vision, emphasizing personalized, experiential, relational, and student-centered learning.
  • Actively participate in CEPI-led faculty development workshops, training, and learning communities, and apply insights to enhance teaching effectiveness and classroom impact.
  • Deliver course content in AI/ML, Networking, Cybersecurity, and foundational Computer Science areas.
  • Develop a curriculum aligned with current industry trends, including the integration of emerging technologies such as generative AI.
  • Foster a supportive, engaging, and inclusive classroom environment.
  • Advise and mentor students on academic and career growth.
  • Participate in curriculum review, program assessment, and accreditation efforts.
  • Serve on academic and institutional committees.
  • Remain current with developments in pedagogy and computing through ongoing professional development.
Required Qualifications
  • Ph.D. or D.Eng. in Computer Science, Electrical and Computer Engineering, or a related field (ABD considered).
  • Demonstrated excellence in teaching and curriculum development.
  • Strong communication skills and a commitment to inclusive education.
  • Authorized to work in the U.S.
Preferred Qualifications
  • Professional experience or certifications in AI/ML, networking (e.g., CCNA), or cybersecurity (e.g., CISSP, CompTIA Security+).
  • Experience teaching in diverse, student-centered environments.
  • Evidence of mentoring and student support.

Salary Range: $95,000- $105,000, depending on experience.
Benefits
  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional development and conference participation.
  • Dynamic academic community and small class sizes.
  • Supportive environment for curricular innovation
Application Instructions
Applicants should submit the following materials:
  • Candidates must submit a detailed cover letter that describes their qualifications, teaching philosophy, and interest in the position. The letter should specifically address their teaching approach in inclusive, student-centered, experiential, and relationship-driven ways. Applicants should also reflect on their commitment to continuous improvement as educators, including their willingness to participate in faculty development initiatives that emphasize innovation in pedagogy, course content, and assessment design.
  • Curriculum Vitae (CV)
  • Contact information for three professional references

Applications will be reviewed beginning June 1, 2025, and continue until the position is filled.
This position description is not intended to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change, or new ones may be assigned at any time, with or without notice.
SFBU is an Equal Opportunity / Affirmative Action Employer: SFBU is committed to providing equal employment opportunities for all employees and applicants for employment. SFBU does not discriminate in employment opportunities or practices based on race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other characteristic protected by law.
In accordance with federal and state disability laws, San Francisco Bay University provides reasonable accommodations to applicants with disabilities. If you require assistance during the application or interview process, please contact SFBU Human Resources at hrmgr@sfbu.edu.