A Ph.D. in Materials Science, Electrical Engineering,  Computing, or related fields is preferred. The ability to work independently and adapt to new areas is required as the project evolves. Candidates with backgrounds in nanomaterials, machine learning, and computational fields are highly preferred. Experience in nanomaterials assembly, soft/stretchable electronics, soft electromagnetic devices, and soft robotics would be advantageous. Applicants should email a cover letter and curriculum vitae to Prof. Haitao Yang ([email protected]). 

 Scholarships in IFE are available. If you are interested in joining our group, please submit a cover letter and curriculum vitae to Prof. Haitao Yang ([email protected]). 

 We are always interested in having exchange faculty members, postdocs, or Ph.D. level students for short-term attachments to work with us on exciting projects and co-publish our collaborative works. Please email Prof. Haitao Yang ([email protected]) for a detailed discussion.