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Department

Electrical and Computer Engineering

Position

Data Analytics/Cloud Computing

Rank

Assistant Professor

Discovery Themes Focus Areas

Translational Data Analytics

Description

The Department of Electrical and Computer Engineering in the College of Engineering The Ohio State University invites applications for a tenure track position at the Assistant Professor level, commencing autumn semester 2015. We seek a scholar with interests in cloud computing, machine learning, and data analytics. This position is partially funded by Ohio State's Discovery Themes Initiative, a significant faculty hiring investment in key thematic areas in which the university can build on its culture of academic collaboration to make a global impact. 

Successful candidates will be expected to develop a vigorous externally-funded research program, show excellence and leadership in academic and scholarly activities, and demonstrate outstanding teaching at the undergraduate and graduate levels. 

Qualifications

Qualified candidates will have a doctoral degree in Electrical & Computer Engineering or a closely related field, as well as outstanding academic credentials.

 

Application Instructions

Applicants should submit a letter of application, curriculum vitae, a statement of research plans in the context of prior research accomplishments, a brief statement of teaching philosophy, and the names of four references (name, address, and e-mail address) to Professor Roberto Rojas as search@ece.osu.edu

 

Commitment to Diversity and Inclusion

The Ohio State University is committed to establishing a culturally and intellectually diverse environment, encouraging all members of our learning community to reach their full potential. We are responsive to dual-career families and strongly promote work-life balance to support our community members through a suite of institutionalized policies. We are an NSF ADVANCE Institution and a member of the Ohio/Western Pennsylvania/West Virginia Higher Education Recruitment Consortium (HERC).

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, or protected veteran status.