A Ph.D. in Chemical Engineering, Electrical Engineering, Materials Science, Chemistry, 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 machine learning, collaborative robotics, and computational fields are highly preferred. Experience in sustainable materials, nanomaterials assembly, stretchable electronics, electrochemical characterizations, and soft robotics would be advantageous. Candidates should have excellent written and verbal communication skills, as well as strong interpersonal skills. Applicants should email a cover letter and curriculum vitae to Prof. Po-Yen Chen (checp@umd.edu). The curriculum vitae should include educational and professional background, a list of publications/posters/conference presentations, and contact information for referees.