Applicants should submit one PDF (500kb size limit) or a link containing the following:

• Curriculum vitae
• Statement of interest (maximum two pages) indicating the topic(s) below, outlining the key achievements of research, vision, and research approach for this position
• Peer-reviewed publications. If the publication is under review, provide the article reference number (for the journal) or reference number (for the conferences)
• References (one page): Names and affiliations of at least three current references with contact information.
• Optional: Portfolio of design, research, or scholarly work (maximum 20 pages, letter-sized/or A4 size)

Candidates with expertise/experience in the following fields are highly encouraged to apply. Candidates should identify one (or an intersection of) the following topics below in their statement of interest:

• Generative AI for design in robotic construction or 3D printing  
• Robotic Additive Manufacturing in Construction
• Sensor integration, data collection, analysis, and modeling
• Concrete Material Science for 3D printing

Formal evaluation of applications will begin on March 25, 2025, and applications will be reviewed every two weeks until the position is filled. Candidates are encouraged to apply as soon as possible. Applicants selected for an interview will be contacted via email. The interview process will consist of an initial 30-45 minute screening interview and one or two additional interviews for select candidates. Additionally, samples of relevant work may be requested.

Questions about the position can be emailed to dartlaboratory@umich.edu; Email subject line: 'Postdoctoral Research Associate in Architecture Application'.

The Digital Architecture Research and Technologies (DART) laboratory at Taubman College of Architecture and Urban Planning and Barton Research Group at the Robotics Department at the University of Michigan are looking for a term-limited postdoctoral research associate in artificial intelligence, robotics, and 3D printing in architecture and construction to join our team for one year with the possibility of an extension. You will have a shared appointment with both the Department of Architecture and the College of Engineering?s Robotics Department. Reporting to Dr. Mania Aghaei Meibodi, you will work together with Dr. Kira Barton to advance research in artificial intelligent robotic 3D manufacturing in architecture and construction. The DART laboratory and Barton?s Research Group are collaborating as leading research laboratories in the areas of intelligent robotic 3d printing, aiming to redefine the next-generation design and building processes. Taubman College is a leading national and international research institution in robotic innovations, construction and computational design, 3D printing, and XR technologies tailored for design and construction.  

Postdoctoral Research Associate will be working in one or an intersection of the following topics. Candidates should identify one (or an intersection of) the following topics below in their statement of interest:

• Generative AI for design in robotic construction or 3D printing  
• Robotic Additive Manufacturing in Construction
• Sensor integration, data collection, analysis, and modeling
• Concrete Material Science for 3D printing

This job is situated in Ann Arbor, and on-campus work is required five days per week.

• Conduct research on generative AI designing for 3D printing or robotic construction, robotic additive manufacturing in construction
• Theoretical formulation and modeling 
• Conduct experimental studies
• Publish research findings
• Collaborate on grant proposals
• Mentor Ph.D. researchers 
• Participate in stakeholder and area topic workshops related to the research.
• Contribute to the ongoing development of the Center of Intelligent/Smart Robotic Additive Manufacturing in Construction.

The responsibilities listed above are representative of some of the duties required for this position and are not an exhaustive list. The responsibilities may evolve and/or change over time to meet the needs of the research team.

• Ph.D. or equivalent in relevant fields such as architecture, computer science, data science, robotics, and engineering.

This position is term-limited for one year, with the possibility of extension, subject to organizational needs, performance evaluations, and secured funding. The salary range for this position is $60,000 - $75,000. Factors used to determine salary include experience, knowledge, and skills for the position. You are encouraged to discuss salary questions to honor transparency throughout the recruiting process. 

In addition to a career filled with purpose and opportunity, U-M offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include a retirement plan with two-for-one matching contributions after the first year; many choices for comprehensive health insurance, life insurance, and long-term disability coverage; and flexible spending accounts for healthcare and dependent care expenses. Learn more about U-M benefits.

Please note:

• Relocation assistance is not provided for this position.

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We aim to create a community of mutual respect and trust where everyone's backgrounds, identities, and views are represented without any threat of bias, harassment, intimidation, or discrimination. Learn more about the shared values we have for our community. 

The University of Michigan is an equal employment opportunity employer.

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

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