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Uasys

Post Doctoral Fellow Researcher - Robotics, Advanced Manufacturing and Materials Innovation- 12 MONTH

Fayetteville, AR

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
14 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions.

Students at all University of Arkansas institutions will view open positions and apply within Workday by searching for “Find Jobs for Students.”

University of Arkansas, Fayetteville students will view open positions and apply within Workday by searching for “Find Student Jobs at UAF.”

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).

If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.

Closing Date:

12/31/2026

Type of Position:

  • Researchers
  • Workstudy Position:

No

Job Type:

Regular

Work Shift:

Sponsorship Available:

No

Institution Name:

University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations.

The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.

As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.

Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.

If you have a disability and need assistance with the hiring process, please submit a request via the Disability Accommodations | OEOC | University of Arkansas (uark.edu) : Request an Accommodation. Appli­cants are required to submit a request for each position of which they have applied.

For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351.

Department:

  • Architecture Hourly C
  • Department's Website:

https://fayjones.uark.edu/

Summary of Job Duties:

  • The Postdoctoral Fellow Research in Robotics, Advanced Manufacturing and Materials Innovation will join an interdisciplinary research group working at the intersection of robotics, artificial intelligence, advanced manufacturing, and materials innovation.
  • The researcher will work closely with Dr. Kaicong Wu, Arkansas Research Alliance Innovation Scholar and Assistant Professor of Architecture in Design Studio and Advanced Digital Technologies in Department of Architecture at the Fay Jones School of Architecture and Design.
  • The position is supported by the Arkansas Research Alliance and is intended to advance high-impact research addressing state and national priorities in sustainable material systems, advanced manufacturing, automation in construction, and workforce development.
  • The successful candidate will contribute to the research team addressing regenerative design and construction through the integration of:
  •  Reversible timber construction;
  •  Wood by-product composites;
  •  Adaptive robotic fabrication and advanced manufacturing;
  •  Human–robot collaboration in construction; and
  •  Multimodal foundation models and AI-enabled agentic systems.
  • The successful candidate will:
  •  Conduct interdisciplinary research in robotics, artificial intelligence, advanced manufacturing, and materials innovation;
  •  Have substantial agency to propose and develop research projects aligned with their individual research trajectory and the broader mission of the group;
  •  Develop and implement foundation-model-enabled robotic fabrication, assembly, disassembly, perception, and human–robot collaboration workflows;
  •  Contribute to experimental research involving timber construction systems, wood by-product composites, additive manufacturing, and reversible/circular construction;
  •  Work closely with Dr. Wu and collaborating faculty, students, research groups, and external partners;
  •  Take a leading role in producing high-quality scholarship, including peer-reviewed journal articles and competitive conference papers;
  •  Document research methods, prototypes, experimental results, datasets, and workflows;
  •  Contribute to the preparation of external research proposals and collaborative grant applications;
  •  Support the translation of research into demonstrators, intellectual property, commercialization opportunities, and job-creating innovation.
  •  Depending on the appointee’s interests and professional goals, opportunities may also include participation in exhibitions, installations, design-build projects, and supportive teaching activities related to robotic fabrication, advanced digital technologies, and design-build education.

The postdoctoral researcher will join the Department of Architecture to contribute to establishing its research culture, technical infrastructure, external partnerships, and scholarly profile.

This is an in-person position, not a remote position. Extensive in-person engagement in both supervisory activities and formal and informal interactions with colleagues contributes to successful leadership, coordination, and collaboration and is essential to the expectations for the position.

Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.

Qualifications:

Minimum Qualifications:

Ph.D. in robotics, computer science, mechanical engineering, or a closely related field from an accredited institution of higher education, conferred by the start of employment

Demonstrated research experience in one or more of the following areas: robotics and autonomous systems; advanced manufacturing or robotic fabrication; automation in construction; human–robot collaboration; computer vision, sensing, or perception; artificial intelligence, deep learning, or foundation models; additive manufacturing; material innovation or computational materials research; strong programming, computational, experimental, or robotic systems-development skills; evidence of the ability to conduct independent and collaborative research

A demonstrated capacity or strong potential to publish peer-reviewed scholarly work

Preferred Qualifications:

Experience in architecture, industrial design, computational design, or another design discipline

Experience with robotics applications in architecture, engineering, and construction

Experience with timber construction, reversible building systems, or design for disassembly

Experience with wood-based composites, bio-based materials, or circular material systems

Experience with industrial robotic arms, linear tracks, end-effectors, extrusion systems, or robotic additive manufacturing (3D printing)

Experience with robot operating systems (ROS), motion planning, computer vision, multimodal AI, or foundation-model-enabled agentic systems

Experience with physical proto

Original posting on Uasys's site ↗

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