Job Description

Responsibilities

Develop a nationally visible, externally-funded research program in AI, with synergistic ties to ECE strengths, collaborations across UD, and external partners, including regional partners.
Teach undergraduate and graduate courses in ECE (especially courses in the AI Engineering curriculum).
Engage in scholarly service to the department, college, university, and profession.
Foster a collaborative research and learning environment.
Minimum Qualifications

Ph.D. in Electrical and Computer Engineering, Computer Science, or a closely related field by the start date.
Evidence of research excellence and potential for leadership in AI (e.g., top-tier publications, impactful software/data, recognition/awards)
Commitment to teaching excellence.
Preferred Areas (one or more)

Large-scale machine learning: foundation models (including large language models, LLMS) for images, signals, time-series, and multimodal data
Generative modeling, causal and statistical modeling at scale
Reinforcement learning, autonomous and semi-autonomous systems, and human-centered AI in physical environments
Other impactful applications of AI (machine learning for health, including medical imaging, remote sensing, security, etc.).
Application Materials

Cover letter (identify primary research areas and interest in ECE collaborations)
Curriculum vitae
Research statement (vision, major contributions, funding strategy, collaboration plans)
Teaching & mentoring statement
Three representative publications (file size limit of 10 MB; use reduced file size if necessary)
Contact information for three to four references (letters requested at a later stage)