Post Doctoral Fellow - Concurrency Computing, and Quantum Computing

Department

Computer Science

Commensurate with Experience/Education

Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills.

• Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
• Recommends changes in research, testing or experimental procedures.
• May be responsible for a single highly technical and complex piece of research equipment.
• May review and evaluate the effectiveness of personnel.
• May plan for and assign personnel to projects under control.
• Operates with latitude for unreviewed action.
• May receive general supervision conferring with higher levels only in unusual situations.
• Performs other job-related duties as required.

The Department of Computer Science at the University of Houston invites applications for a Postdoctoral Researcher to work with Dr. Damian Dechev. The position sup-ports an active research program at the intersection of concurrent computing, high-performance and scientific computing, and programmable quantum computing. The researcher will help lead technical work, mentor graduate and undergraduate students, and contribute to publications and proposals.

This is a full-time, benefits-eligible appointment. The initial term is one year, renewable based on performance and funding availability.

• Concurrent data structures and algorithms — design and analysis of scalable lock-free and wait-free algorithms, and the correctness and verification of concurrent execution histories.
• High-performance and scientific computing — performance analysis, telemetry, and intra-node performance monitoring for large-scale systems (including work connected to the OVIS/LDMS ecosystem and DOE laboratory collaborations).
• Programmable quantum computing — quantum algorithms and applications on trapped-ion hardware (via cloud quantum access), and the integration of quantum computing with HPC and scientific-computing workflows.
• Scalable AI infrastructure — systems and runtime support for large-scale AI workloads, including scalable training/inference, resource management, and the concurrency and performance challenges of AI on parallel and heterogeneous hardware.

• Conduct original research in the areas above, including design, implementation, and rigorous experimental evaluation.
• Publish results in top-tier peer-reviewed venues and present at conferences and workshops.
• Contribute to the preparation of research proposals and progress reports for federal and industry sponsors.
• Mentor and collaborate with graduate and undergraduate student researchers.
• Help build and maintain shared research infrastructure, software, and documentation.
• Collaborate with academic, national-laboratory, and industry partners.

• Ph.D. in Computer Science, Computer Engineering, or a closely related field (completed by the start date).
• Strong research record demonstrated by peer-reviewed publications.
• Expertise in one or more of: concurrent/parallel programming, high-performance computing, systems software, formal verification of concurrent systems, or quantum computing.
• Proficiency in modern systems programming (e.g., C/C++), strong software-engineering practices, and experience with version control and reproducible research.
• Excellent written and verbal communication skills and the ability to work both independently and collaboratively.

• Experience with HPC environments, performance profiling/telemetry, or large-scale data analysis.
• Familiarity with quantum programming frameworks and quantum-classical hybrid workflows.
• Background in scalable AI/ML infrastructure, operating systems, or compilers.
• Experience mentoring students and contributing to proposals.

• Full-time, benefits-eligible postdoctoral appointment.
• Initial one-year term, renewable subject to performance and funding.
• Salary commensurate with qualifications and experience, consistent with University of Houston postdoctoral guidelines.

MQ:
Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed. No experience is required.

All positions at the University of Houston-System are security sensitive and will require a criminal history check.

The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.