At the Interactive Structures lab, we work at the intersection of HCI + COMPUTATIONAL GEOMETRY + ENGINEERING + DESIGN. We investigate and develop interactive computational design tools that enable digital fabrication of complex structures for novice users. Interactive structures embed functionality within their geometry such that they can react to simple input with complex behavior. Such structures enable materials that can, e.g., embed robotic movement, can perform computations, or communicate with users. Such materials consist of many cells that open up complex topological spaces and allow for both theoretical contributions as well as real-world impact. For example, we are currently investigating for metamaterial structures for customizable prostheses, and foundations for robotic metamaterials.
We offer an interdisciplinary collaborative environment enabling the postdoc to expand their network within academia and industry. This position is intended to prepare the postdoc for the next stage of their career and elements such as mentoring students, lab setup, contributing to grant proposals, or teaching will be defined together with the postdoc candidate.
The position can begin immediately (Fall 2021) upon availability of the candidate. This is a one-year position with the possibility of renewal based on performance and funding. Compensation includes a competitive salary and benefits plan. Review of applications will begin immediately and will continue until the position is filled.
Applicants are required to have a PhD in computer science, or a related field. We are looking for a postdoctoral fellow who can lead projects on computational (inverse) design for digital fabrication. Particularly interesting approaches include numerical algorithms and machine learning. Background in related areas such as numerical simulation, path-planning in robotics, or geometry processing are a great fit.
Preferred qualifications include experience or skills with:
inverse design algorithms, optimization, numerical algorithms, physics-based simulation, or similar
computer graphics, geometry processing, machine learning, or similar
strong programming skills
good mathematical understanding
experience with digital fabrication
To apply, please send a short cover letter describing your interests and experiences, your CV, and contact information for 3 references. For more information or if you have questions, contact Alexandra Ion at email@example.com. Members of underrepresented minority groups are especially encouraged to apply for this position.
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Internal Number: 89252
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.