Description
Doctoral research positions are being offered by the newly established Photon Intelligence Lab (Φ Lab) in the Department of Computer Science at Stony Brook University. One to two PhD students are sought to join this emerging research group beginning in the Fall 2026 semester. The Photon Intelligence Lab (Φ Lab) represents a new research initiative within the Computer Science department at Stony Brook University. The laboratory is led by Professor Akshat Dave and is positioned to advance cutting-edge research at the intersection of photonics and computational intelligence. As a newly formed research group, joining scholars will have the unique opportunity to contribute to establishing foundational research directions and shaping the laboratory's academic trajectory from its early stages. The research group is directed by Prof. Akshat Dave, whose expertise encompasses computational systems and photon-based technologies. Graduate students will work directly with Prof. Dave in developing innovative research programs within the lab's focus areas.
Responsibilities
Research Focus
The Photon Intelligence Lab (Φ Lab) at Stony Brook University is dedicated to conducting pioneering research at the intersection of computer science, artificial intelligence, and photonics. The lab seeks to develop innovative approaches for designing intelligent systems that combine theoretical rigor with practical applications in emerging computing technologies. Students in the program will be exposed to advanced concepts in computational intelligence, data-driven systems, and photonics-based computation:
- Research efforts will focus on creating and applying novel algorithms, computational frameworks, and methodologies that enable efficient and intelligent processing of large-scale and complex data. Emphasis is placed on photonics-enabled computing, exploring how optical technologies can enhance AI and machine learning applications.
- Ph.D. students will have the opportunity to work on high-impact projects that bridge the gap between theory and practice, including AI system design, optimization, and intelligent data analytics. The lab fosters a collaborative environment, encouraging interdisciplinary engagement across computer science, physics, and engineering.
- The research culture at Φ Lab emphasizes rigorous scientific inquiry, innovation, and creativity, ensuring that students develop strong problem-solving and analytical skills. Students are expected to actively contribute to publications, presentations, and research dissemination, demonstrating the applicability and impact of their work.
By combining theoretical foundations with practical experimentation, the lab prepares Ph.D. students to address complex computational challenges in both academic and industrial settings. The lab also promotes mentorship, collaboration, and knowledge sharing, enabling students to grow as independent researchers and thought leaders in their fields.
Qualification
Candidate Profile
Ideal candidates for the Ph.D. positions at the Photon Intelligence Lab are expected to possess a strong academic background in one or more of the following disciplines: computer science, applied mathematics, physics, or other closely related fields. A solid foundation in quantitative methods, computational theory, and problem-solving techniques is highly desirable. Applicants should demonstrate a keen interest in artificial intelligence, computational intelligence, or photonics-based research, with a motivation to explore emerging technologies and interdisciplinary challenges:
- Candidates who exhibit curiosity and a strong desire to learn will thrive in the lab’s innovative research environment. A high level of independence in conducting research, combined with the ability to work collaboratively with faculty and peers, is expected. Engagement in interdisciplinary projects, where ideas from computer science, AI, and photonics converge, will be central to the Ph.D. experience.
- Prior research experience, technical projects, or publications in related areas will be considered valuable assets, reflecting the applicant’s capability to contribute to ongoing investigations. However, these are not strictly required, as the lab also values potential, motivation, and the ability to adapt to new research challenges.
- Successful candidates are expected to participate actively in the lab’s research community, contributing to publications, presentations, and collaborative initiatives. They should possess strong analytical and problem-solving skills, and a commitment to maintaining academic rigor in all research endeavors.
- Applicants who are self-motivated, creative, and proactive in exploring new research directions are particularly encouraged. The position offers a unique opportunity to develop expertise at the forefront of AI and photonics research, while contributing to a vibrant, interdisciplinary research environment designed to foster innovation and collaboration.
Application Requirements
Application Procedure
Interested candidates are required to:
- Submit a formal application through the Stony Brook University Computer Science Graduate Admissions portal
- Mention Prof. Akshat Dave's name explicitly in the Statement of Purpose to indicate research group preference
- Complete all standard graduate admission requirements as specified by the CS department
Application Deadline: January 15, 2026
Applications must be submitted by the deadline to receive full consideration for Fall 2026 admission.
Application Portal: Official graduate admission applications are processed through the university's centralized system:
Direct Inquiry Contact
Prospective applicants with specific questions about the research group or available positions may contact:
Professor Akshat Dave
Email: dave@cs.stonybrook.edu
Subject Line Suggestion: PhD Application Inquiry – Fall 2026
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