Publisher
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Emma Söderberg

Top university

6 months ago

PhD in Computer Science: Software Waste Detection and Reduction in AI-assisted DevOps Lund University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

The position is funded within the ELLIIT strategic research area and is a full-time doctoral studentship at Lund University. It is a fixed-term employment for 4 years, with possible extension for teaching and departmental duties. Salary is monthly; no stipend amount is stated. The post is an employed doctoral position rather than a self-funded study place.

Deadline

Expired

Country flag

Country

Sweden

University

Lund University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Software Engineering

About this position

PhD opportunity in Computer Science at Lund University focused on software waste detection and reduction in AI-assisted DevOps for complex software systems.

The position is part of the ELLIIT-funded WasteNoMore project, a collaboration between Lund University and Linköping University. The project studies how to detect and reduce software development waste in large-scale development and operations workflows, especially in cloud-edge systems, microservice architectures, and other complex software-intensive systems. The research combines sustainability-driven software engineering with AI tools such as large language model assistants, runtime monitoring, design space exploration, and empirical software engineering methods.

The doctoral student will be based at the Department of Computer Science, Lund University, within the Software Development and Environments unit, and will also interact with the NEXTG2COM industrial competence center. The work includes research, third-cycle courses, seminars, conferences, collaboration with academic and industrial partners, and up to 20% teaching/departmental duties.

Eligibility: a second-cycle degree or equivalent, plus specific Computer Science admission requirements such as relevant advanced credits or an M.Sc. in a related engineering field. Strong English, communication, software engineering knowledge, programming skills, independence, and collaboration ability are required. Experience in software engineering, AI systems, software development tools, or human-computer interaction is considered an advantage.

Funding and employment: this is a full-time employed doctoral position at Lund University, funded through ELLIIT. The appointment is fixed-term for 4 years, with extension possible for teaching and other duties. Salary is monthly; no stipend amount is specified.

Application deadline: 2026-04-20. Applications must be written in English and include a CV, cover letter, degree/study certificates, and any additional supporting documents such as transcripts or references.

Funding details

The position is funded within the ELLIIT strategic research area and is a full-time doctoral studentship at Lund University. It is a fixed-term employment for 4 years, with possible extension for teaching and departmental duties. Salary is monthly; no stipend amount is stated. The post is an employed doctoral position rather than a self-funded study place.

What's required

Applicants must have a second-cycle qualification, or at least 240 credits with at least 60 second-cycle credits, or equivalent knowledge. For specific admission to Computer Science, applicants need at least 60 second-cycle credits relevant to the research topic, or an M.Sc. in Engineering in Computer Science and Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics, or Engineering Mathematics. Required qualifications include very good English (spoken and written), strong written and oral communication, good knowledge of software engineering theory and practice, ability to cooperate and collaborate with industry partners, ability to work independently and formulate and tackle research problems, and very good programming skills. Preferred qualifications include industrial experience, software engineer experience, software development tools, AI systems, and human-computer interaction.

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Professors

Senior Lecturer / Associate Professor

University Name
Country flag

Sweden

Research Interests

Syntax

Computational Linguistics

Programming Language

Software Engineering

Predictive Validity

Professor

University Name
Country flag

Sweden

Research Interests

Electrical Engineering

Computer Science

Software Engineering

Information Technology