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Summer Computer Vision Postdoc Jobs in Illinois (NOW HIRING)

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Senior Technical Project Manager

Chicago, IL

$113K - $156K/yr

Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical ... Two "well-being" days per year plus the day off for your birthday. * "Summer Fridays" - early ...

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Summer Computer Vision Postdoc information

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 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 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 Illinois? The most popular types of Computer Vision Postdoc jobs in Illinois are:
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Summer Computer Vision Postdoc jobs near you

Postdoctoral Appointee - AI for Synchrotron Imaging

Argonne National Laboratory

Lemont, IL • On-site

$49K - $67K/yr

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Argonne National Laboratory is a leading research institution focused on advanced scientific discovery, and they are seeking a Postdoctoral Appointee to join their Computational Science and Artificial Intelligence Group. This role involves developing learning-enabled imaging methods for synchrotron datasets, collaborating with experts across various scientific domains to enhance understanding of microbial communities within soil.
Responsibilities:
• Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets.
• Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality.
• Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales.
Qualifications:
Required:
• Ph.D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field.
• Strong expertise in machine learning, computational imaging, computer vision, or signal processing.
• Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms.
• Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions.
• Excellent communication skills and a strong interest in interdisciplinary collaboration.
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
• Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.
Preferred:
• Experience with synchrotron or tomographic imaging datasets.
• Background in inverse problems or physics-informed machine learning.
• Exposure to scientific imaging applications (for example, biological, environmental, or materials science).
Company:
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management. Founded in 1946, the company is headquartered in Lemont, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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