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Job Description

The School of Cybersecurity at Old Dominion University (ODU) seeks candidates for a Research Assistant/Associate Professor position whose research will complement ODU’s areas of strategic emphasis, including safety, security, and privacy of AI systems.

Position Type

FullTime

Type of Recruitment

General Public

Minimum required education and/or special licenses, registrations, trainings, or certifications

A Ph.D. in Computer Science, Computer Engineering, or any field closely related to Cybersecurity is required.

Minimum required level and type of experience, knowledge, skills, and abilities

A strong research record at the intersection of AI and cybersecurity demonstrated by peer-reviewed publications in reputed conferences and journals.

Preferred Qualifications

Experience in AI/ ML security and evidence of interdisciplinary work. Experience in grant proposal writing.

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RSS Feed Source: Academic Keys

The Department of Electrical and Computer Engineering at Dalhousie University invites applications for an Instructor position in the Computer Engineering stream with an expected start date of January 1, 2026.

This position is a key part of our efforts to strengthen and grow our newly established Computer Engineering program, which is undergoing rapid development. The successful candidate will play an integral role in delivering high-quality undergraduate education and contributing to academic service, including curriculum development and accreditation.

Responsibilities:

The successful candidate will teach six undergraduate courses per year in the Computer Engineering curriculum. Courses may include:
    1.    Computer Architecture
    2.    Computer Engineering Fundamentals
    3.    Algorithms for Computer Engineers
    4.    Microprocessors
    5.    Operating Systems
    6.    Real-Time Systems
    7.    Computer Security
    8.    Electrical and Computer Engineering Design
    9.

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RSS Feed Source: Academic Keys

Imagine concrete that not only survives wildfires and extreme weather, but heals itself and absorbs carbon from the air. Scientists at USC have created an AI model called Allegro-FM that simulates billions of atoms at once, helping design futuristic materials like carbon-neutral concrete. This tech could transform cities by reducing emissions, extending building lifespans, and mimicking the ancient durability of Roman concrete—all thanks to a massive leap in AI-driven atomic modeling.

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