drjobs KG Tan Endowed Chair Professor of Artificial Intelligence - Full Professor

KG Tan Endowed Chair Professor of Artificial Intelligence - Full Professor

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Syracuse, NY - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Description
Syracuse Universitys Department of Electrical Engineering and Computer Science in the College of Engineering and Computer Science seeks a top scholar in the field of Artificial Intelligence (AI) to serve as the inaugural K.G. Tan Endowed Chair Professor. Kwang G. Tan is a pioneer in computing having started by building functional units for IBM in the early 1960s. Tan received his doctorate from Syracuse University in 1973 supported by the IBM residence program. Recognized for his contributions he was selected for important leadership positions at IBM and later at HP. The K.G. Tan chair should reflect Dr. Tans pioneering spirit applied to the field of AI.

Responsibilities
Potential areas of expertise for the K.G. Tan Endowed Chair Professor include machine learning algorithms natural language processing computer vision generative AI with an emphasis on explainable AI addressing aspects of security privacy ethics and fairness. Collaboratively designed AI approaches spanning the hardware and software stack and at different levels of complexity from TinyML to Large Language Models particularly in the context of multiagent decentralized learning and lifelong learning concepts. Neuromorphic systems systems that emulate neural processes and other biologically inspired systems to create efficient and adaptable AI systems. AI applications of interest include but are not limited to humanrobot collaboration manufacturing and supply chain (i.e. Industry 4.0 medical imaging and diagnostics autonomous driving and unmanned autonomous vehicles addressing societal challenges including climate change and public health.

Qualifications
An earned Ph.D. in electrical engineering computer engineering computer science or relevant fields and outstanding academic credentials commensurate with appointment at the level of Full Professor with tenure. Early career candidates who are commensurate with an appointment at the level of Associate Professor with tenure but show exceptional potential may also apply.

Employment Type

Full Time

Company Industry

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.