Assistant Professor - Big Data/AI ApplicationsDepartment:
Electrical & Computer Engineering-1063Requisition Number:
F_210156Posting Open Date:
10/14/2021Application Review Date: (To ensure consideration, please submit all application materials before review date):
12/01/2021Open Until Filled:
YesDescription of Work:
The Department of Electrical & Computer Engineering (ECE) is looking for someone with expertise in big data analysis or AI applications in ECE. A faculty member in Big Data analytics is expected to contribute in the areas of artificial intelligence and machine learning approaches to high-dimensional data, computational inference, parallel computing, network analysis, and data visualization. Such an expertise will help elevate our already internationally known experimental programs in laser assisted manufacturing, optics, photonics, and energy systems. It will also strengthen the department’s current presence in telecommunications, signal and image processing, and bioengineering, as well as a newly planned area of adaptive systems. A faculty member in AI applications technologies will expand the ECE department’s interdisciplinary research portfolio and strengthen collaboration. A faculty member in either technical area supports the existing research pillars in the ECE department and contributes to planned expansion of these areas with future hiring.Minimum Required Qualifications:
As part of this initiative, the Department of Electrical & Computer Engineering (http://ece.unl.edu) invites applications for a tenure-track faculty position at the Assistant Professor level in the areas of Big Data and/or AI Applications in ECE . Successful candidates are expected to develop an externally funded research program in these emerging areas, and complement existing expertise in the extensive experimental and computational communities at UNL. The successful candidates will contribute to the undergraduate and graduate academic programs within the department and demonstrate a commitment to excellence in both teaching and research. This hire will also be able to work collaboratively and directly with the UNL School of Computing, the Information Science &Technology College (Omaha), and the University of Nebraska Medical Center faculty, and support efforts of the US Strategic Command (STRATCOM) at Offutt AFB in Bellevue, Nebraska, through the Nebraska Strategic Research Institute (NSRI). This position fits the strategic objectives of the department, college and university for expansion of data analytics and AI applications areas.
The Department of Electrical & Computer Engineering consists of approximately 35 tenure/tenure-track faculty, 400 undergraduate students, and 120 graduate students co-located in two cities, Lincoln and Omaha, Nebraska. An outstanding infrastructure exists for conducting research, including central facilities housing state-of-the-art instrumentation within the Nebraska Center for Materials and Nanoscience (ncmn.unl.edu), the Nebraska Nanoengineering Research Facility (engineering.unl.edu/nercf/), and the Holland Computing Center (hcc.unl.edu). Opportunities for collaborations across the University of Nebraska include the University of Nebraska Medical Center; the Nebraska Center for Energy Sciences Research; the Nebraska Center for Materials and Nanoscience; the Center for Brain, Biology, and Behavior; the Nebraska Athletic Performance Laboratory; the Midwest Roadside Safety Facility; Innovation Campus; and other state- and federally-funded research centers and programs. In particular, it is expected that the new faculty member will integrate into UNL’s National Science Foundation-supported Materials Research Science and Engineering Center (unl.mrsec.edu). Applicants are encouraged to visit the aforementioned websites to learn of the facilities available and on-going research in materials science at the University of Nebraska-Lincoln.
As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See http://www.unl.edu/equity/notice-nondiscrimination.
Criminal History Background Check Required:
- Ph.D. or equivalent in electrical engineering or a closely related field.
- A record of strong scholarly achievement.
- A demonstrated commitment to excellence in undergraduate and graduate education.
- The potential to establish a strong externally funded research program.
- A demonstrated commitment to contributing to a culture that supports diversity and inclusion.
NoHow to Apply:
Click “Apply to this job” and complete the information form. Attach the following documents:
- A cover letter.
- Research, teaching and diversity statements.
- List of three references.
Note, please combine teaching, research and diversity statements into a single pdf document and attach as “Other Document.”
Applicants are strongly encouraged to review the rubrics used by our search committees to evaluate candidate statements: https://engineering.unl.edu/candidate-statements
. After review of applications begins, those with any missing required statements may not be given full consideration.For questions or accommodations related to this position contact:
Nancy Re, Human Resources Specialist Job Category (old):
Faculty Tenure/Tenure LeadingJob Type:
9 Month Position funded by grant or other form of temporary funding?: