Old Dominion University (
ODU) invites applicants for an Assistant/Associate Professor in the area of AI & Network and Communications Security to begin in
Fall 2026. The position is in the Department of Electrical and Computer Engineering (
ECE) with a joint appointment with the School of Cybersecurity. This is a tenure-track appointment that is part of a multiple-position hiring initiative for Trustworthy AI. This cluster hire is part of ODU's Centennial Cluster Initiative which supports the expansion of transdisciplinary research efforts by prioritizing the hiring of multiple faculty positions targeting specific research areas. The Trustworthy AI cluster hire involves interdisciplinary collaboration among School of Cybersecurity, Department of Electrical and Computer Engineering, Department of Computer Science, and Department of Sociology & Criminal Justice, and builds on existing interdisciplinary strengths at
ODU.
We are seeking applicants with expertise at the intersection of advanced trustworthy AI techniques and their integration into networks and communications systems. Areas of interest include, but are not limited to, AI and computer network security, AI-driven security analysis on networked systems, AI-based threat intelligence, security issues in networked AI-as-a-service systems, security of AI-enabled cyber-physical systems, security of next generation networks such as satellite communication, space systems, and quantum communication, emergent security issues in networked cyber-physical systems, cyber operations.
Requirements for this position are the potential for success in teaching, research, and obtaining external research grants. The position carries a teaching load of 4 courses/year with a reduced course load during the first two years. The Assistant/Associate Professor will also actively pursue external research grants, supervise Ph.D. students, and participate in interdisciplinary research collaborations with other researchers at
ODU. Undergraduate research supervision is highly recommended.
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Minimum Qualifications
- Ph.D. or equivalent in electrical engineering, computer engineering, electrical and computer engineering, computer science or related discipline.
Candidates for the Associate Professor position must have:
- A successful record in research and externally funded grants.
- Demonstrated ability to interact and communicate clearly with internal and external constituencies.
Candidates for the Assistant or Associate Professor position must have:
- Ability to teach at the undergraduate and graduate levels.
- Ability to work in multidisciplinary settings.
- A strong research record at the intersection of AI and Network and Communications Cybersecurity, demonstrated by peer-reviewed publications in reputed conferences and journals.
Preferred Qualifications
- Experience in grant proposal writing.
- Experience in applying AI and machine learning techniques in cybersecurity and AI/ ML security and evidence of interdisciplinary work.
How to Apply
Interested applicants must apply at
https://jobs.odu.edu/postings/24842
and attach the following with their online application:
- A letter of application.
- A curriculum vitae.
- Statement of Research Interests.
- Teaching Philosophy.
- Samples of scholarly work.
- Unofficial graduate transcripts.
- The names and contact information for three professional references.
Review of applicants will begin
January 12, 2025, and the position will remain open until it is filled. For more information about this position, please contact: Dr. Daniel Takabi at
takabi@odu.edu.
About ODU
Old Dominion University, located in Norfolk, is Virginia's forward-focused public doctoral research university with more than 23,000 students, a top R1 research ranking, rigorous academics, an energetic residential community and initiatives that contribute $2.6 billion annually to Virginia's economy.
It is the policy of Old Dominion University to provide equal employment, educational and social opportunities for all persons, without regard to race (or traits historically associated with race including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, sex or gender (including pregnancy, childbirth, or related medical conditions), national origin, gender identity or expression, age, veteran status, disability, political affiliation, sexual orientation or genetic information. Individuals from minoritized communities, women, veterans and individuals with disabilities are encouraged to apply.
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