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From Home Computer Vision Postdoc Jobs in Indiana

Develop and maintain computer vision algorithms for quality control, defect detection, and process ... Analyze data from vision systems to provide insights into manufacturing performance, generating ...

$69K/yr

What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

What We Offer * Remote, work-from-home career * Average first-year earnings of $69K through ... Laptop or desktop computer with a working camera * Insurance license required or willingness to ...

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From Home Computer Vision Postdoc information

What are some common challenges faced by remote Computer Vision Postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges such as limited access to lab hardware, potential isolation from peers, and coordinating collaborative research across time zones. To overcome these, postdocs can leverage cloud-based computational resources, schedule regular virtual meetings with their research team, and participate in online seminars or forums to stay connected with the community. Effective communication and proactive networking are key to maintaining productivity and collaboration while working from home.

What are From Home Computer Vision Postdocs?

A From Home Computer Vision Postdoc is a researcher with a doctoral degree who conducts advanced research in computer vision while working remotely, typically from home. These postdoctoral positions focus on developing algorithms and systems that enable computers to interpret and analyze visual information from the world, such as images and videos. Remote postdocs in this field often collaborate with academic institutions, research labs, or companies via digital communication tools. They may publish scientific papers, contribute to open-source projects, or assist in teaching while enjoying the flexibility of a work-from-home arrangement.

What are the key skills and qualifications needed to thrive as a From Home Computer Vision Postdoc, and why are they important?

To thrive as a From Home Computer Vision Postdoc, you need a PhD in computer science or a related field, with deep expertise in computer vision algorithms and research methodologies. Proficiency with programming languages like Python or C++, and experience using deep learning frameworks such as TensorFlow or PyTorch, are typically required. Strong analytical thinking, self-motivation, and effective remote collaboration skills help you excel in this role. These skills are crucial for conducting advanced research, publishing high-quality work, and contributing to collaborative projects in a remote academic or industry environment.
What are the most commonly searched types of Computer Vision Postdoc jobs in Indiana? The most popular types of Computer Vision Postdoc jobs in Indiana are:
Infographic showing various From Home Computer Vision Postdoc job openings in Indiana as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Full-time

Posted 10 days ago


Job description

Company Overview:
STARPLUS ENERGY LLC is an electrifying joint venture between Samsung and Stellantis. With a focus on innovation and excellence, we deliver cutting-edge solutions that empower the automotive industry as we transition towards an electric future. As a member of our team, you will play a vital role in fostering our company's positive, diverse, and collaborative culture by helping us build and maintain a safe and effective One Team, One Mission organization. Join our vision of becoming the world's leading provider of energy solutions for e-mobility.
Position Summary:
We are seeking a highly skilled Vision Engineer to join our dynamic team in the rapidly growing field of electric vehicle (EV) battery manufacturing. The successful candidate will be instrumental in developing and implementing cutting-edge computer vision solutions to enhance the efficiency, quality, and safety of our electric vehicle battery production processes.
Roles & Responsibilities:
  • Develop and maintain computer vision algorithms for quality control, defect detection, and process optimization in electric vehicle battery manufacturing
  • Understand and apply algorithms for inspecting critical battery components, including cells, modules, and packs.
  • Work with manufacturing and automation teams to integrate vision solutions into production lines, ensuring compatibility with existing control systems and industry standards
  • Oversee vision systems for defect identification and classification throughout the manufacturing process, enabling real-time monitoring to enhance product quality
  • Analyze data from vision systems to provide insights into manufacturing performance, generating reports and recommendations for process optimization
  • Develop testing procedures to validate the accuracy of vision systems, ensuring compliance with industry standards and regulatory requirements while collaborating with cross-functional teams and suppliers.
  • Perform other position related duties as assigned.

Qualifications:
Basic:
  • Minimum Age: 18 years old
  • Bachelor's degree in engineering/technology discipline, Computer Science or demonstrated experience in vision systems equipment
  • Experience in developing and implementing computer vision solutions for manufacturing applications, preferably in the electric vehicle battery industry
  • Must be eligible to work in the United States
  • While travel is unlikely, the ideal candidate will be able to travel, with reasonable prior notice as required (domestic and/or international)
  • Ability to work overtime, weekends, or holidays as required
  • Strong troubleshooting skills
  • Basic understanding of industrial vision systems
  • Proficiency in programming languages such as MFC, C++, or others
  • Strong knowledge of computer vision libraries and frameworks (e.g., OpenCV)
  • Familiarity with image processing techniques and machine learning for vision applications
  • Functional understanding of vision systems (such as Keyence or Cognex) and/or X-ray system for inspection
  • Excellent communication skills to effectively convey technical concepts to both technical and non-technical stakeholders
  • Complete proficiency in the Microsoft office tool suite

Preferred:
  • Advanced degree in an engineering/technology discipline
  • 5+ years of experience in a manufacturing environment, preferably in automotive or technology
  • Exposure to production control, supply chain, material handling systems, and procedures
  • Demonstrated technical problem-solving ownership and proficiency
  • Cross-functional and/or team leadership experience
  • Experience in spare parts management and control
  • Proficient in application of statistical knowledge and tools such as Spotfire, Minitab or JMP
  • Knowledge of structured problem-solving methods

Working Conditions:
  • Ability to sit, walk and stand for extended periods of time
  • Ability to work around the potential exposure to dust and chemicals
  • Ability to wear appropriate PPE as deemed essential for the job function
  • Ability to lift up to 30 pounds
  • To safely perform the essential functions of the position you must be able to distinguish colors

STARPLUS ENERGY, LLC promotes an equal employment opportunity workplace which includes reasonable accommodations of other qualified disabled applications and employees. Please see your Human Resources Director should you have any questions about these job duties.