Tenure-Track Assistant Professor - AI Algorithmic Foundations and Methodologies/ Agentic AI Foundations and Methodologies

Tenure-Track Assistant Professor - AI Algorithmic Foundations and Methodologies/ Agentic AI Foundations and Methodologies

The Ohio State University

Columbus, OH

Position Overview

The Department of Electrical and Computer Engineering (ECE) (https://ece.osu.edu/) at The Ohio State University invites applications for two tenure-track faculty positions at the rank of Assistant Professor, with one position in each of the following two areas: 1) AI algorithmic foundations and methodologies and 2) Agentic AI foundations and methodologies. Candidates with expertise in the associated topics within these areas are welcome to apply. All applicants are strongly encouraged to indicate their preferred area of consideration in their cover letter, even if the applicants whose expertise span both areas.

• AI Algorithmic Foundations and Methodologies: Advancing the foundations, algorithms, and methodologies of next-generation AI systems, with an emphasis on analyzing and designing novel models and learning paradigms to address emerging challenges across AI applications, as well as rigorous theoretical frameworks for understanding, analyzing, and guiding their behavior, performance, and reliability. Areas of interest include, but are not limited to, theoretical and algorithmic foundations for i) deep learning, ii) foundation and world models, iii) generative AI, iv) model and inference efficiency, v) reinforcement learning, vi) optimization for AI, and vii) statistical learning.
• Agentic AI Foundations and Methodologies: Developing the foundations, architectures, and methodologies for autonomous AI agents capable of reasoning, learning, planning, and acting effectively in complex, dynamic, and interactive environments. Areas of interest include, but are not limited to, planning, reasoning, decision-making, and adaptation in agentic environments, world-model-based agentic AI, cognitive science–inspired agentic architectures, coordination, collaboration, and mechanism design in multi-agent systems.

Candidates are encouraged to leverage their expertise in Artificial Intelligence to complement and expand the core research areas of the ECE department, including computer networks and communication, control and signal processing, circuits, power and energy, solid-state electronics, photonics, and electromagnetics (https://ece.osu.edu/graduate-research-areas). Successful candidates will be aligned with The Ohio State University AI(X) Hub (https://aihub.osu.edu/) and be dedicated to making AI systems and applications more generalizable, efficient, and interpretable by pioneering foundational AI research. Candidates for position in the AI algorithmic foundations and methodologies will hold a 100% appointment in the ECE department. Those for position in the Agentic AI Foundations and Methodologies will hold a primary appointment in the ECE department, with a joint appointment in the Department of Computer Science and Engineering (CSE).

Performance Objectives

• High-quality high-impact research in the domains of AI algorithmic foundations and/or agentic AI foundations
• Teach undergraduate and graduate courses within ECE (and CSE, as applicable)
• Advise undergraduate and graduate students in ECE (and CSE, as applicable) towards successful completion of their degree programs
• An attitude conducive of good citizenship, including a commitment to interact with others in a professional, ethical, and constructive fashion

Education and Experience Requirements

• A Ph.D. in electrical engineering, computer engineering, computer science, or a related field.
• Evidence of demonstrated efforts in research, as well as potential teaching, and/or outreach and engagement that reflect Ohio State’s Shared Values.
• Evidence of research publications in top journals and/or conferences within the field of interest.
• Potential to teach, attract, and mentor graduate students
• Potential to teach and supervise undergraduate students from all backgrounds.
• Demonstrated ability to be a conscientious member of the university and/or research community
• Excellent leadership, interpersonal and communication skills with desire and ability to work independently, constructively, decisively, and collegially with external and internal colleagues in multi-disciplinary settings.
• Open to sharing ideas, continuously learning, and displaying innovative thinking.
• Ideal candidates will demonstrate significant expertise in AI as a core component of their scholarship and will make transformative contributions to AI algorithmic foundations and/or agentic AI foundations that advance fundamental theories, algorithms, and understanding of AI.

To apply, please visit https://apply.interfolio.com/194543

The university is an equal opportunity employer, including veterans and disability.