Postdoc: Code Analysis & AI-Powered Repair

Syddansk Universitet

Odense

On-site

DKK 420,000 - 520,000

Full time

6 days ago
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Job summary

Syddansk Universitet in Odense invites applications for a 2-year postdoctoral position in the Software Engineering section of the MMMI, focusing on program analysis and repository mining. The project investigates repairing code using information already present in the code, without relying on tests or specifications.

You will design, implement, and evaluate a framework that combines program analysis with mining patterns, work across multiple languages, and publish results in journals and

Qualifications

  • PhD completed or near completion in Software Engineering, Computer Science, Programming Languages, AI, or related field.
  • Experience in program analysis, mining software repositories, automated software engineering, software testing or software repair.
  • Strong research output or potential as evidenced by publications.

Responsibilities

  • Investigate whether software defects can be repaired without tests or specifications.
  • Design, implement, and evaluate a framework combining program analysis with mining patterns.
  • Conduct empirical evaluation using real-world bugs and AI-modified code across languages.
  • Publish research in journals and conferences; engage with industry and academic partners.

Skills

PhD research track
English proficiency
Independent & collaborative work
Empirical evaluation
Program analysis
Mining software repositories
C/Java/Python experience

Education

PhD in Software Engineering or CS or AI

Job description

Syddansk Universitet in Odense invites applications for a 2-year postdoctoral position in the Software Engineering section of the MMMI, focusing on program analysis and repository mining. The project investigates repairing code using information already present in the code, without relying on tests or specifications.

You will design, implement, and evaluate a framework that combines program analysis with mining patterns, work across multiple languages, and publish results in journals and

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