The Department of Computer Science at the University of Houston is seeking to enhance its research capabilities in Multimodal Artificial Intelligence (AI) and Natural Language Processing (NLP) by hiring a tenure-track faculty member.
Requirements
- Expertise in developing and applying AI techniques that integrate and reason over multiple modalities—including text, speech, vision, and sensor data.
- Expertise in ways that advance natural language understanding, generation, and human-AI interaction.
- Experience with Large Language Models (LLMs) and multimodal foundation models.
- Experience with Cross-modal representation learning and alignment.
- Experience with Multimodal dialogue systems and conversational agents.
- Experience with Multimodal reasoning, summarization, and question answering.
- Experience with Low-resource, fair, and explainable multimodal NLP.
Responsibilities
- Conduct innovative and impactful research in Multimodal Artificial Intelligence (AI) and Natural Language Processing (NLP).
- Develop and apply AI techniques that integrate and reason over multiple modalities—including text, speech, vision, and sensor data.
- Advance natural language understanding, generation, and human-AI interaction.
- Establish a vigorous, externally funded research program.
- Collaborate with existing research strengths in AI, computer vision, human-computer interaction, and data science.
- Contribute to curriculum development in AI, NLP, and multimodal computing.
- Teach courses in the department of Computer Science.
Other
- Ph.D. in Computer Science, Computer Engineering, or a closely related field by the start date of September 1, 2026.
- Exceptional record of publications.
- Strong potential for securing competitive research funding.
- Mentor graduate and undergraduate students.
- All positions at the University of Houston-System are security sensitive and will require a criminal history check.
