This job has expired

Postdoctoral Fellow, Department of Electrical Engineering & Computer Science

You need to sign in or create an account to save a job.
Current UC employees must apply internally via SuccessFactors > http://bit.ly/UCEMPL

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 47,000 students, 10,500 faculty and staff and 330,000 alumni, UC combines a Top 35 research university with a physical setting The New York Times calls “the most ambitious campus design program in the country.”

With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, eight straight years of record enrollment, worldwide leadership in cooperative education, a dynamic academic health center and entry into the Big 12 athletic conference, UC’s momentum has never been stronger. UC’s annual budget tops $1.6 billion and its endowment totals $1.9 billion.

Job Overview

The University of Cincinnati (UC) Department of Electrical Engineering & Computer Science (EECS; https://ceas.uc.edu/academics/departments/electrical-engineering-computer-science.html) in the College of Engineering and Applied Science (CEAS) invites applications for a postdoctoral fellow in electrical engineering and computer science. We seek candidates in the area of information theory, communications, machine learning, reinforcement learning, and/or artificial intelligence.

The incumbent will assist the principal investigator conduct research and/or analyze research data and ensure that all experiments are appropriately conducted following the policies and procedures of the University of Cincinnati. Positions are temporary appointments as a research trainee.

EECS is dedicated to educational excellence and developing and sustaining premier research programs with national and international recognition. The chosen candidate will be expected to contribute (at both the graduate and undergraduate level) to the department’s educational and mentoring mission of preparing students to become high-performing professionals in the workplace. The chosen candidate will also be expected to contribute to the advancement of research missions within the department and college.

Essential Functions
  • Conduct research experiments in the area of information theory, machine learning, reinforcement learning and artificial intelligence.
  • Gather and analyze data and develop new ideas that promote current research.
  • Prepare data summaries, reports, manuscripts and presentations of research results.
  • Participate/assist in manuscript writing for publication in scientific journals and/or presentation.
  • Assist in writing proposals in the above or allied areas.
  • Keep informed of developments in field to maintain and enhance professional expertise.
  • Lab maintenance, including equipment maintenance and ordering of supplies, as needed.
  • Lead a research team of one or more graduate students.
  • Engage in appropriate training and professional development opportunities.
  • Play an active role in seeking career and research advice, both from the faculty supervisor and from other faculty members as well.
Required Education

Prior to the appointment, the successful candidate must have earned a Ph.D. in Electrical Engineering or Computer Science.

Required Experience

Must have established research experience/focus in information theory, communications, machine learning, reinforcement learning and/or artificial intelligence.

Additional Qualifications Considered
  • Demonstrated research experience in allied areas.
  • Demonstrated verbal and written communication skills
  • Ability to work collaboratively as part of a team
  • Ability to write grants and proposals broadly in the area of information theory and communications.
Application process

Candidates should provide the following in their application package:

  • CV including 2-3 reference name and contact details.
  • Academic transcript.
  • Samples of peer-reviewed manuscripts.

Compensation and Benefits

UC offers a wide array of complementary and affordable benefit options, to meet the financial, educational, health, and wellness needs of you and your family. Eligibility varies by position and FTE.

  • Competitive salary range dependent on the candidate's experience.
  • Comprehensive insurance plans including medical, dental, vision, and prescription coverage.
  • Flexible spending accounts and an award-winning employee wellness program, plus an employee assistance program.
  • Financial security via our life and long-term disability insurance, accident and illness insurance, and retirement savings plans.
  • Generous paid time off work options including vacation, sick leave, annual holidays, and winter season days in addition to paid parental leave.
  • Tuition remission is available for employees and their eligible dependents.
  • Enjoy discounts for on and off-campus activities and services.

The University of Cincinnati, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a Contribution to Diversity and Inclusion statement.

As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).

The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / Minority / Female / Disability / Veteran.

REQ: 84561

SF:OMJ SF:RM SF:HEJ, SF:INS SF:HERC SF:DIV SF:LJN

You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert