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Summer Computer Vision Postdoc Jobs in Arizona (NOW HIRING)

Moderna

$20 - $60/hr

The Role This is a summer internship opportunity in Norwood, MA from June 7, 2027 - August 20, 2026 ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

Moderna

$20 - $60/hr

The Role This is a summer internship opportunity in Norwood, MA from June 7, 2027 - August 20, 2026 ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

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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 Arizona?

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

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

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

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

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

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

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

Summer Computer Vision Postdoc jobs near you

Postdoctoral Research Associate, Electrical and Computer Engineering

Tucson, AZ • On-site

University of Arizona
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Arizonaexternal

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted yesterday

University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

Job description

Postdoctoral Research Associate, Electrical and Computer Engineering
Posting Number
req24051
Department
Elec Comp & Sftwr Engr Sch of
Department Website Link
https://ece.engineering.arizona.edu/
Location
Tucson Campus
Address
1230 E. Speedway Blvd., Tucson, AZ 85721 USA
Position Highlights
The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to work with Dr. Ehsan Azimi.
We invite qualified candidates to join our group and participate in cutting-edge research. The chosen candidate will advance research at the intersection of robotics, control & prototyping, and AI/ML. The Postdoc will design, implement, and evaluate robotic systems - including real-time control stacks - and develop learning-enabled perception, planning, and vision-language model (VLM) pipelines. The role includes disseminating results via publications, patents, demos, and grants, in addition to mentoring students and contributing to course modules/workshops in robotics and related topics.
Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Lead, design, build and test cycles for robotic platforms and experimental rigs; develop real-time control (e.g., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking.
  • Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS 2, RT frameworks, Unity/Unreal integration as needed); implement data pipelines, simulation, and CI/testing; maintain reproductible artifacts and documentation.
  • Mentor undergraduate and graduate students; develop short course modules and/or run workshops in Robotics/AI/Control; support inclusive team culture and lab best practices.
  • Lead and co-author journal/conferencepapers; prepare manuscripts for publication in peer-reviewed journals; createcompelling presentations/demos and contribute to IP (invention disclosures andpatents); present research at national and international conferences.
  • Contribute to proposaldevelopment and grant writing (including preliminary data, methods, budgetstext); prepare progress reports, and coordination with internal/externalcollaborators; interface with sponsors where applicable.
  • Foster collaborationswithin the Department, with other units across the University, and with teammembers at other institutes.
  • Participate andcontribute to meetings with industry, academia and sponsors.
  • Additional duties as assigned.

Knowledge, Skills, and Abilities
  • Strong analysisskills, research, and technical writing skills.
  • Ability to communicateprofessionally in a clear, concise manner orally and in writing.
  • Knowledge of prototyping, specifically control (PID, MPC, optimal/robust, learning-augmented); perception &planning; sensor fusion; calibration; system identification.
  • Programming skills, including C++,Python, C#; ROS/ROS 2; Git; Linux; build systems (CMake);real-time/latency-aware coding; simulation (Gazebo/Isaac/Unity/Unreal asapplicable).
  • Knowledge of experimental design, statistics, ablation studies, replicable pipelines,technical writing.
  • Ability to create clear presentations and use strong interpersonal skills with a collaborativemindset; effective mentoring.

Minimum Qualifications
  • PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field.
  • Must have PhD conferred upon hire.

Preferred Qualifications
  • Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control.
  • Experience in computer vision, multimodal perception, or foundation models (VLMs/LLMs) applied to robotics.
  • Track record of patent contributions and/or technology transfer.
  • Experience preparing grants (NSF/NIH/DoD/industry) and coordinating collaborative deliverables.
  • Prior experience mentoring/teaching, curriculum or workshop development.
  • Experience with safety standards for robotics labs and human-robot interaction studies.
  • Experience with CUDA/accelerators; optimization; SLAM; tactile/force control; AR/XR interfaces; Unity/C# for robotics visualization; DevOps/containers.
  • Experience with AI/ML: Deep learning for vision/perception; VLMs and LLM tooling; dataset curation; evaluation/benchmarks; basic MLOps.

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.00
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines-Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Ehsan Azimi
eazimi@arizona.edu
Open Date
10/6/2025
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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