Description

The Department of Computer Science at Old Dominion University is seeking two full-time tenure track faculty members with expertise in the areas of cybersecurity, AI, machine learning, and related areas. We are especially interested in those who are interdisciplinary, applying their expertise to several other domains. The appointments will be at the Assistant Professor rank with an anticipated start date of July 2024.

The selected candidates are expected to collaborate in teaching and research with Old Dominion University’s School of Cybersecurity and/or the School of Data Science. The Department of Computer Science currently has 20 tenured and tenure-track faculty, 11 teaching faculty, and several adjunct faculty. The CS faculty has research grant support from agencies such as NSF, NIH, NASA, NEH, the Mellon Foundation, DoD, and DoE. ODU Computer Science ranks in the top 25% in terms of R&D expenditures among Computer Science departments.

Current research areas span a wide range, with established strengths in high performance scientific computing, data science, bioinformatics, parallel mesh generation, real-time medical image computing, web science, mobile computing, cyber-physical systems, and large-scale video analytics (see http://cs.odu.edu/ for more information). A vibrant graduate program enrolls 260 graduate students (75 Ph.D. and 185 M.S.) and the undergraduate program has more than 800 majors. Excellent collaborative research opportunities are available at ODU’s School of Cybersecurity, School of Data Science, and at nearby NASA Langley Research Center, DoE’s Thomas Jefferson National Accelerator Facility, National Institute of Aerospace, Eastern Virginia Medical School and Sentara Hospital with state-of-the-art operating room suite for image guided surgery, and the Virginia Modeling Analysis and Simulation Center.

ODU and the College of Sciences are committed to inclusive excellence, recognizing that diversity enhances and enriches our educational mission, employment experience, and community engagement. We seek candidates whose research, teaching, and/or service experiences have prepared them to fulfill our commitment to inclusion.

Minimum Qualifications:

1. A Ph.D. or equivalent in Computer Science or related discipline by the time of appointment.
2. The potential for success in teaching, research, and obtaining external research grants.
3. Ability to obtain external research funding.
4. Expertise in the areas of data science or cybersecurity.

Preferred Qualifications:

Special consideration will be given to candidates demonstrating a potential for collaboration with the current Computer Science faculty or for inter-disciplinary collaboration with other researchers at ODU. 

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.

How to Apply:

Interested candidates should visit https://jobs.odu.edu/postings/19722 to submit:

1. A letter of application;
2. A curriculum vitae;
3. A statement of research activities and future research plans;
4. A statement of teaching philosophy;
5. Unofficial graduate transcripts; and
6. Contact information for four references.

For additional information regarding the position, please contact Search Committee Chair Dr. Desh Ranjan. The review of applications will begin December 1, 2023, and the position will remain open until filled.

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.