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Summer Computer Vision Postdoc Jobs in Detroit, MI

Cover letters that engage with the lab?s published work and articulate a research vision will ... Job Summary Postdoctoral Fellow in Statistical Genetics and Regulatory Genomics The Parker Lab at ...

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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 popular job titles related to Summer Computer Vision Postdoc jobs in Detroit, MI?

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

What job categories do people searching Summer Computer Vision Postdoc jobs in Detroit, MI look for?

The top searched job categories for Summer Computer Vision Postdoc jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Summer Computer Vision Postdoc jobs?

Cities near Detroit, MI with the most Summer Computer Vision Postdoc job openings:

Infographic showing various Summer Computer Vision Postdoc job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.

Postdoctoral Research Fellow - VLM

Ann Arbor, MI • On-site

$47K - $65K/yr

Other

Posted 13 days ago


Job description

# Postdoctoral Research Fellow - VLMUniversity of MichiganAnn Arbor, MIFull-TimeAug 15, 2026Education## Job Description## How to ApplyTo apply for this position, please email a cover letter, CV, and the names of two references to Professor Chenhui Shao at [email protected], with "[VLM Postdoc]" at the start of the subject line, and include in your cover letter how your expertise relates to this posting.Contact: Chenhui ShaoAssociate ProfessorDepartment of Mechanical EngineeringUniversity of Michigan## Who We AreAt Michigan Engineering, we develop the talent and technologies that move society forward and serve our state and national interests. Through discovery and innovation, we create the foundational knowledge and practical technologies to solve not only today's most pressing challenges, but also power industries and change lives. Our programs and community are designed to promote personal well-being and achievement - enabling everyone to unlock their potential and contribute with confidence.## Job SummaryRobotic manipulation in manufacturing environments, particularly pick-and-place operations, remains challenging when parts and environmental conditions vary. Conventional robotic systems rely on fixed object categories and require extensive manual reprogramming each time a new part or variant is introduced, which limits scalability and slows deployment in real-world production settings.The Connected and Intelligent Manufacturing Systems (CIMS) Lab at the University of Michigan, in partnership with General Motors, is developing a Vision-Language Model (VLM)-based adaptive perception framework for robotic manipulation. By enabling robots to interpret semantic task instructions and generalize to new or variant parts with minimal reprogramming, this framework aims to substantially reduce the time and cost of deploying perception models for newly introduced components, while improving robustness to real-world variability such as lighting changes and occlusions.This project spans model benchmarking, perception algorithm development, and integration and validation on physical robotic hardware. We are looking for a postdoctoral researcher to lead the technical execution of this project, with work performed on-site at the sponsor's facility.## Responsibilities\*- Evaluate and benchmark vision-language models for adaptive robotic perception in industrial applications- Develop robust perception methods for object segmentation and pose estimation under real-world conditions such as occlusion, lighting variation, and diverse part geometries- Integrate perception components into a real-time pipeline and validate on robotic manipulation hardware- Prepare technical reports, manuscripts, and presentations documenting research outcomes- Advise student research assistants supporting the project## Required Qualifications\*- PhD in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, or a related field- Strong background in computer vision and/or machine learning, with hands-on experience in deep learning frameworks- Strong demonstrated communication skills## Modes of WorkPositions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.## Additional InformationAbout CIMS LabOur research group is an interdisciplinary team dedicated to advancing the intelligence, quality, and efficiency of manufacturing. Our alumni have gone on to successful careers in academia, including at City University of Hong Kong, and have received full-time job offers from leading companies such as Meta, OpenAI, Google, KLA, Intel, Apple, 3M, C3 AI, Solventum, Milwaukee Tool, Lucid, Seagate, and MathWorks. Additional information about the group is available at: https://shaolab.engin.umich.edu/.## Background ScreeningThe University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.## Application DeadlineJob openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.## U-M EEO StatementThe University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities. #J-18808-Ljbffr