We are seeking a well-trained researcher with excellent work ethic to work on modelling projects of 2D optoelectronic devices. The applicant is expected to work independently as well as in collaboration with other group members to complete projects in a timely manner.
We are particularly looking for candidates who can operate effectively in a diverse community of students and faculty, and share our vision of helping all constituents reach their full potential.
The Department of Electrical Engineering recently moved to a new green building with state-of-the-art laboratory facilities and academic spaces designed to support collaboration among faculty and student groups within the department, across the university, and with other institutions. The Department of Electrical Engineering has vibrant research programs in electronics, optics and photonics, communications, networking, signal processing and energy systems. Particular areas of excellence include 2D materials and devices, nanoelectronic and nanophotonic materials and devices, metamaterials and structured light, Terahertz electronics and communications, wireless communications in extreme environments (underwater, underground, intra-body), cognitive radio and dynamic spectrum access, Internet of Things, big data and machine learning, smart grids and power electronics. Interdisciplinary work is strongly supported and encouraged. More information about the Department can be found at: http://engineering.buffalo.edu/electrical.html
The University at Buffalo is a premier research-intensive public university, a flagship institution in the State University of New York system and its largest and most comprehensive campus. UB’s more than 28,000 students pursue their academic interests through more than 300 undergraduate, graduate and professional degree programs. Founded in 1846, the University at Buffalo is a member of the Association of American Universities. One of the most recent investments of the University is the establishment of RENEW, a multidisciplinary institute for Research and Education in eNergy, Environment and Water.
The candidate should have a Ph.D. in Applied Physics or related field. Computational experience in modelling optical properties of semiconducting devices is required.
Familiarity with high performance computing, computer languages C++, Python, Fortran and data analysis is highly desirable.