Description:
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. 1. Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex…
piece of research equipment. 4. May review and evaluate the effectiveness of personnel. 5. May plan for and assign personnel to projects under control. 6. Operates with latitude for unreviewed action. 7. May receive general supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Position Summary 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.
Research Areas
The successful candidate will contribute to one or more of the
following directions:
• 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.
Key Responsibilities
• 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.
Required Qualifications
• 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.
Preferred Qualifications
• 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.
Appointment and Compensation
• 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.