Research Associate

Research Associate The University of Tulsa - 4.1 Tulsa, OK Job Details Part-time 1 day ago Qualifications Writing skills Doctor of Philosophy Productivity software Full Job Description Job Summary The Research Associates performs research duties for the Army Corps of Engineer's ERDC "Operational Technology (OT) and Internet of Things (IoT) Asset Identification and Management" project in the Department of Electrical & Computer Engineering and College of Engineering & Computer Science. This project is in collaboration with the Tandy School of Computer Science and the School of Cyber Studies in the College of Engineering & Computer Science and appointment may be in either of these programs in addition to Electrical & Computer Engineering based on mutual consent of all parties. Essential Functions (Responsibilities) Supports investigators' research needs as they arise with respect to software, hardware, and technology experimentation, integration, and interoperability concerns on the project. Produces written reports. Make presentations. Contributes to scholarly works and mentor/supervise students and employees. Performs related responsibilities as required or assigned.

Required Qualifications Knowledge, Skills, and Abilities:

Excellent oral, written, organizational and interpersonal skills. Ability to work under limited supervision. Ability to handle multiple tasks while meeting deadlines. Demonstrated effectiveness in working with a variety of administrative levels and diverse groups of people located both internally and externally to the institution. Extremely proficient in Microsoft Suite. Ability to function on a team. High quality teamwork skills.

Equivalent Education and Experience:

PhD in Computer Science, Computer Engineering, Cyber Studies, Electrical Engineering or a related field. Preferred Qualifications Previous experience as a researcher or investigator in an academic setting. Familiarity and/or proficiency with network security, Internet of Things (IoT) technologies and networks, network infrastructure, sensor technologies, security economics, artificial intelligence (AI), and/or machine learning (ML).