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Research Cognitive Ai Jobs (NOW HIRING)

Virtusa

AI Solution Lead

Jersey City, NJ · Hybrid

You'll work alongside Virtusa's data, product, and cloud experts to bring cutting-edge AI research ... mobile; cognitive/AI; full stack engineering, microservices, IoT; and cloud services. For more ...

Virtusa Corporation

AI Solution Lead

Pittsburgh, PA · On-site

You'll work alongside Virtusa's data, product, and cloud experts to bring cutting-edge AI research ... mobile; cognitive/AI; full stack engineering, microservices, IoT; and cloud services. For more ...

Gallo

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

... Research, Cognitive Science, or Applied/Quantitative Psychology to be obtained between December ... AI tools to accelerate data analysis. * Coursework or projects in statistics, experimentation, or ...

E. & J. Gallo

IT Data Analyst Internship 2027

Modesto, CA · On-site

$26.50 - $28.50/hr

... Research, Cognitive Science, or Applied/Quantitative Psychology to be obtained between December ... AI tools to accelerate data analysis. * Coursework or projects in statistics, experimentation, or ...

Gallo

IT Data Analyst Internship 2027

Modesto, CA · On-site +1

$26.50 - $28.50/hr

... Research, Cognitive Science, or Applied/Quantitative Psychology to be obtained between December ... AI tools to accelerate data analysis. * Coursework or projects in statistics, experimentation, or ...

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Research Cognitive Ai information

What is a Research Cognitive AI professional?

A Research Cognitive AI professional is someone who studies and develops artificial intelligence systems that mimic human cognitive processes, such as learning, reasoning, perception, and decision-making. These experts work on advancing AI algorithms and models to enable machines to understand and interact with the world in more human-like ways. Their work often involves interdisciplinary knowledge from computer science, neuroscience, psychology, and linguistics. Research Cognitive AI professionals may work in academic, corporate, or research lab settings, contributing to breakthroughs in areas such as natural language processing, machine learning, and robotics.

What are the key skills and qualifications needed to thrive as a Research Cognitive AI specialist?

To thrive as a Research Cognitive AI specialist, you need a strong background in computer science, machine learning, and cognitive science, often supported by an advanced degree such as a PhD. Familiarity with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with large-scale data analysis tools are essential. Strong analytical thinking, creativity, and effective communication skills help you stand out when designing novel AI models and collaborating with interdisciplinary teams. These competencies are vital for advancing AI research, solving complex problems, and translating findings into impactful solutions.

What are some common challenges faced by professionals in a Research Cognitive AI role, and how can they be addressed?

Professionals in Research Cognitive AI often encounter challenges such as managing large, complex datasets, staying updated with rapidly evolving AI technologies, and translating theoretical models into practical applications. Collaborating closely with interdisciplinary teams—such as data scientists, software engineers, and domain experts—can help address these issues by combining diverse expertise. Additionally, regularly attending conferences, participating in research communities, and engaging in continuous learning are essential strategies for overcoming these challenges and maintaining a competitive edge in the field.

What is the difference between Research Cognitive Ai vs Data Scientist?

AspectResearch Cognitive AiData Scientist
Required CredentialsMaster's or PhD in AI, Cognitive Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or Computer Science
Work EnvironmentResearch labs, academic institutions, R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageDeveloping AI models, cognitive computing, research projectsAnalyzing data, building predictive models, data visualization
Search & Comparison IntentUnderstanding research roles in AI developmentApplying data analysis skills in industry

Research Cognitive Ai professionals focus on developing and advancing AI models with a cognitive approach, often working in research settings. Data Scientists analyze and interpret data to inform business decisions, typically working in industry. While both roles require strong analytical skills, Research Cognitive Ai emphasizes research and innovation in AI, whereas Data Scientists focus on practical data application.

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Research Cognitive Ai jobs near you
Infographic showing various Research Cognitive Ai job openings in the United States as of August 2026, with employment types broken down into 7% Internship, 53% Full Time, 7% Part Time, and 33% Contract. Highlights an 100% In-person job distribution.

Associate or Full Professor of Technology & Operations (Cognitive Manufacturing)

University of Michigan

Ann Arbor, MI • On-site

Full-time

Re-posted 20 days ago

University Of Michigan rating

8.0

Company rating: 8.0 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

189th of 627 rated colleges and universities

Job description

Description
The Stephen M. Ross School of Business at the University of Michigan invites applications for a tenured faculty position (Associate or Full Professor) in the Technology and Operations area, with a research focus at the intersection of AI, advanced manufacturing, and supply chain resilience. This appointment is part of a major interdisciplinary faculty cluster - Cognitive Manufacturing - that spans the Ross School of Business and the College of Engineering (Mechanical Engineering and Computer Science and Engineering).
Qualifications
The ideal candidate would have research expertise at the intersection of AI and operations, including cognitive AI for manufacturing/supply chain management, resiliency, and integrated AI-human decision making in operations settings. We are especially interested in individuals with a track record of interdisciplinary collaboration with mechanical engineering, computer science, and/or behavioral science colleagues; experience translating research through industry partnerships, pilot deployments, or policy engagement; a history of external research funding from federal agencies and/or industry; and experience mentoring a diverse community of students and junior researchers. Minimum requirements include a doctorate in Business Administration, Industrial Engineering or related field such as Economics, Statistics, or Computer Science, and a record of excellence in business research, teaching, and leadership commensurate with appointment rank.
Application Instructions
For full consideration, applicants must have completed their applications (curriculum vitae, up to three research papers, research statement, teaching statement, and teaching evaluations) by October 15, 2026 . Preferential consideration will be given to candidates applying by this deadline; however, the review of applications may continue until the position is filled. For questions related to the application process, please contact Shandra Bremer at slbremer@umich.edu

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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