Department of People and Technology, Roskilde University, invites applications for a position as postdoc of Computer Science from December 1st, 2025, or as soon as possible thereafter. The position as postdoc is limited to a period of two years.

QUALIFICATIONS

Applicants must hold a PhD or equivalent within computer science, software engineering, physics or another relevant area. The ideal candidate is expected to demonstrate:

• Expertise with SQL databases (e.g., PostgreSQL, MySQL, SQLite) and query execution and optimisation (execution plans, indexing, cost models)
• Proven experience in benchmark design or experimental evaluation of data systems or software
• Hands-on skills in experimental measurement, reproducibility, and transparent data management.
• Competence in data analysis and statistics for experimental results (e.g., regression, uncertainty/variance analysis, significance testing).
• Experience with energy or performance measurement of computing systems (e.g., RAPL, external power meters, GPU/nvidia-smi) and including interpreting energy–time trade-offs.
• Demonstrated ability to write and publish high-quality research and to present results to technical audiences in English.

The ideal candidate shall be enterprising and possess good communication skills, be visible and involved in the department’s daily activities, in addition to being willing to engage in disciplinary and interdisciplinary collaboration across the department.

As a postdoctoral researcher at Roskilde University, you will lead the benchmark and reproducible energy data in GREENSQL. This includes designing benchmark suites and a measurement infrastructure for SQL queries in different contexts (raw, dynamic, and embedded), and collecting and analysing energy data that captures the key factors driving query-level energy consumption. You are expected to publish and present your results at leading international conferences and journals in sustainable computing, databases, and software engineering. You will also contribute to the joint catalogue of energy-aware SQL optimizations together with Aalborg University and the Software Improvement Group.