Assistant/Associate Professor of Computer Science & Machine Learning (AI)
Job posting number: #7065539
Posted: March 25, 2020
Application Deadline: Open Until Filled
Job DescriptionAbout Norwich University:
Founded in 1819, Norwich University is the oldest private military college in the country and the birthplace of the Reserve Officers' Training Corps (ROTC). Today we are a diversified academic institution that offers undergraduate and graduate degrees and professional certificates to adult learners online and to Corps and civilian lifestyle students on campus.
We are located in the beautiful Green Mountains of Vermont, only 20 minutes from the state capital, Montpelier, and three hours from Boston or Montreal.
Our excellent benefit package includes medical, dental, vision, group life, and disability insurances, flexible-spending accounts for health and dependent care, a 403(b) retirement plan with employer match, an employee assistance program, paid time off, use of the University pool and fitness center, and tuition scholarships for eligible employees and their family members. Some employees may qualify for the Public Service Loan Forgiveness Program on their Federal Student Aid Direct Loan balance.
The School of Cybersecurity, Data Science, & Computing, (CDSC) at Norwich University invites applications for a full-time appointment at the rank of Assistant or Associate Professor of computer science with specialization in machine learning and artificial intelligence. While this is a tenure-track position, previously tenured academics will be considered eligible for hire with tenure.
Within CDSC, the Computer Science program and Data Science are closely associated with Computer Security and Information Assurance, one of the few programs recognized nationally as both a Center of Academic Excellence in Cyber Defense Education (by the National Security Agency), and a Center of Digital Forensics Academic Excellence (by the U.S. Department of Defense Cyber Crime Center). In February of 2014 the Ponemon Institute rated the program #2 in the nation for cybersecurity education with regard to academic excellence, practical relevance, experience and expertise of the program faculty, experience and background of the students and alumni, and professional reputation in the cyber security community.
The University seeks a doctorally-prepared, entrepreneurial, and innovative scholar/practitioner to join this strong and growing program in its next evolutionary step.
Duties include teaching required undergraduate data-science and computer-science courses, course development, student advising, academic service, and research with a focus on the machine learning and AI applications of data science. Start-up funds and other resources are available to support participation in scholarly endeavors.
The Computer Science program employs innovative teaching models to involve undergraduate students in research and professional practice early in their education. Preference will be given to those with experience in these or other innovative and practical teaching methods, and in maintaining or furthering such methods.
Beyond expertise in machine learning, preference will be given to those with teaching experience, a record of recent and ongoing academic research and publication, or real-world experience in one or more of the following: virtual systems, operating systems, assembly language, programming languages (esp. C++, Python, Java, Objective-C, or Swift), cloud computing, reverse engineering, computer networks, information security, digital forensics, risk analysis & mitigation, or policy development. Salary will be competitive and commensurate with experience and qualifications. Applicants must be eligible to work without restriction in the United States.
Norwich University is an Equal Opportunity Employer and is committed to providing a positive education and work environment that recognizes and respects the dignity of all students, faculty, and staff. Norwich University takes positive action to ensure that all applicants for employment are considered, and employees are treated in compliance with applicable laws and regulations governing non-discrimination on the basis of gender, gender identity, race, ethnicity, national origin, color, religion, disability, sexual orientation, age, genetic information or veteran's status. Reasonable accommodations will be made for the known disability of an otherwise qualified applicant. Please contact the Office of Human Resources at email@example.com for assistance.
All candidates must be a US Citizen/Permanent Resident or otherwise legally eligible to work in the US without sponsorship now or in the future. A post offer, pre-employment background check will be required of the successful candidate.