Are you ready to shape the future of Machine Learning and Artificial Intelligence (ML/AI)? The Department of Electrical and Computer Engineering at Texas A&M University invites exceptional scholars to apply for a tenured/tenure-track faculty position (open rank: Assistant, Associate, or Full Professor). This is a 9-month academic appointment, with the potential for a summer appointment based on availability and need, starting in Fall 2025.
Who We’re Looking For:
We are seeking innovative thinkers and passionate educators with a proven track record or strong potential in Machine Learning and Artificial Intelligence. Your expertise will help drive advances in:
- Foundational ML/AI research: algorithms, optimization, and statistics.
- Applied ML/AI fields: computer vision, image/video processing, natural language processing, signal processing for communications, and control systems.
We value scholars who are not only advancing the boundaries of ML/AI but are also committed to mentoring the next generation of engineers, researchers, and industry leaders.
Your Role:
As a faculty member at Texas A&M University, you will:
- Inspire and educate: Teach undergraduate and graduate courses that challenge and prepare students for a dynamic future.
- Push the boundaries of knowledge: Conduct world-class research in ML/AI, publish impactful findings, and secure funding for groundbreaking projects.
- Mentor and guide: Advise undergraduate and graduate students, fostering their academic and professional growth.
- Engage and lead: Participate in internal and external service activities, contribute to departmental initiatives, and advance the ML/AI profession through thought leadership.
Why Texas A&M?
The Department of Electrical and Computer Engineering is a hub of innovation and excellence:
- Home to 1,500 undergraduates, 300 Ph.D. students, and 450 master's students, our department thrives on discovery, invention, and education.
- We are driven by a mission to create knowledge, prepare leaders, and serve society through impactful research, outreach, and education.
- Our vibrant academic and research programs empower faculty and students alike. Learn more at engineering.tamu.edu/electrical.
What You Bring:
- Educational background: A Ph.D. in Electrical and Computer Engineering or a related field.
- Expertise: A demonstrated record (or strong potential) of excellence in ML/AI research, teaching, and service.
- Collaboration mindset: A commitment to fostering a collaborative and inclusive academic environment.
- Visionary ambition: The ability to lead transformative research and educational initiatives that shape the future of ML/AI.
Join Us in Aggieland:
At Texas A&M University, you’ll find a supportive and dynamic community that encourages innovation and excellence. Aggieland offers a high quality of life, rich cultural opportunities, and access to a vibrant research ecosystem.
Application Details:
Submit your application through [insert application portal link], including:
- A cover letter.
- Curriculum vitae.
- Statements on research, teaching, and diversity (one page each).
- Contact information for three references.
