Boston College is looking to solve core AI challenges in representation learning, generative modeling, and agentic intelligence by developing next-generation multimodal foundation models and agentic AI systems that can reason across visual, textual, and biomedical data modalities.
Requirements
- Ph.D. in Computer Science, Computer Engineering, or a related field.
- Strong research background in multimodal foundation models, generative modeling, or agentic AI systems, with demonstrated ability to translate theory into practical methods.
- Demonstrated research excellence through publications in top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or related conferences.
Responsibilities
- Develop and implement novel AI models and learning algorithms for multimodal and generative modeling.
- Collaborate with neuroscientists, clinicians, and AI researchers on interdisciplinary problems involving multimodal biomedical and neuroscience data.
- Publish high-quality research in top AI/ML conferences and high-impact scientific journals.
- Mentor graduate and undergraduate students, and contribute to a collaborative research environment.
- Participate in proposal development, grant writing, and research management.
Other
- Excellent teamwork, communication, and mentoring skills, with a collaborative mindset and the ability to work effectively across disciplines.
- This is a full-time, one-year appointment with a competitive salary and benefits package, renewable for additional years based on performance and funding availability.
- The start date is flexible, depending on the candidate’s availability.
- Applicants should submit: A cover letter describing research interests and fit for the position.
- A curriculum vitae (CV).
