PhD Candidate within the topic “AI-driven Software Instrumentation”

Pro2Future GmbH; Österreich; Vor Ort; EUR 40 000 - 60 000; Vollzeit

Zusammenfassung

A leading research organization in Austria is seeking a First Stage Researcher to develop AI-supported methods for software instrumentation processes. The role includes pursuing a PhD and involves collaboration with the industry. Applicants should have a Master's degree in Computer Science or similar and knowledge in programming languages such as Python or Java. The position offers a competitive gross salary of EUR 3,700 per month and an opportunity to work in a dynamic research team.

Leistungen

Flexible working hours

Opportunity for personnel development

Fun at work

Qualifikationen

• University degree in computer science, computer engineering, or similar.
• Experience and practical knowledge of programming languages and tools.
• Interest in shaping future technologies.

Aufgaben

• Develop AI-supported methods for automating software instrumentation processes.
• Design, implement, and evaluate prototype solutions.
• Pursue a PhD under supervision.

Kenntnisse

Programming languages and tools (e.g. Python, Java)

Knowledge in Software Engineering

AI and machine learning

Software observability or instrumentation

Fluent in English and/or German

Independent and reliable working

Teamwork

Ausbildung

Master Degree in Computer Science or similar

Jobbeschreibung

Organisation/Company Pro2Future GmbH Research Field Computer science Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 31 Jan 2026 - 10:00 (Europe/Vienna) Type of Contract Permanent Job Status Full-time Hours Per Week 38.5 Offer Starting Date 24 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Job profile:

Under the guidance of the Area Management, the candidate will be deployed in the entire portfolio of application-oriented research activities within the InstrumentAI project, conducted in collaboration with industry. The position focuses on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine learning, the candidate will support the research team in designing, implementing, and evaluating prototype solutions that identify instrumentation points and generate and extend instrumentation code and tests. Within the scope of the project, the candidate is also expected to pursue a PhD under the supervision of Univ.-Prof. Dr. Alexander Egyed and a. Univ.-Prof. Dr. Paul Grünbacher at the Johannes Kepler University Linz (JKU).

Project context:

The project InstrumentAI, conducted in collaboration with industry, addresses the growing challenge of maintaining application observability in today’s rapidly evolving software landscape. As new technologies, frameworks, and libraries emerge at an accelerating pace, each requires precise and efficient instrumentation to ensure effective performance monitoring. The goal of InstrumentAI is to develop AI-supported methods that streamline and accelerate the instrumentation process for both entirely new technologies and extensions of existing ones. The project focuses on identifying relevant instrumentation points in new or evolving technologies and generating or extending instrumentation code and corresponding tests in a partially automated process under human supervision. The expected outcome is a prototype pipeline that supports the complete instrumentation workflow, from detection and code generation to automated testing, along with AI-driven tools that demonstrate the feasibility and practical applicability of the approach in real-world software environments.

Where to apply

E-mail [e-mail]

Requirements

Research Field Computer science Education Level Master Degree or equivalent

Skills/Qualifications

• University degree in computer science, computer engineering, or similar
• Experience and practical knowledge of programming languages and tools (e.g. Python, Java, etc.)
• Knowledge in Software Engineering, AI, machine learning is an advantage
• Experience with software observability or instrumentation is highly valued
• High affinity for applied research, interest in shaping future technologies
• Independent and reliable way of working, enjoy working in a team
• Fluent in English and/or German
• Willingness to travel between the Pro2Future GmbH locations
• Flexibility, willingness to learn, openness and commitment

Languages ENGLISH Level Excellent

Research Field Computer science Years of Research Experience 1 - 4

Additional Information

Eligibility criteria

• The opportunity to work in a highly qualified, international, young, and dynamic research team
• Collaboration in innovative, beyond-state-of-the-art research projects
• Opportunity for personnel development in a learning and respectful environment
• Great emphasis on gender, diversity, and equal opportunities
• Flexible working hours, flat organizational structures, fun at work
• Full-time gross salary per month EUR 3,700.00 EUR