PhD student in Software Engineering for Machine Learning Application deadline: December 15, 2022

Wasp Sweden; Linköpings kommun; On-site; SEK 25,000 - 35,000; Full time

Job summary

Wasp Sweden is offering a PhD student position in Software Engineering at Linköping University, focusing on enhancing software quality assurance for machine learning programs. The role involves developing scalable techniques and software tools to identify defects in ML applications.

Collaboration with researchers from Sweden, Canada, and Hungary is expected, and contributions to an open-source project will be part of the role. This position is ideal for candidates passionate about software engineering and machine learning.

Qualifications

• Strong foundation in software engineering principles and practices.
• Familiarity with machine learning libraries and tools.
• Experience with static analysis techniques is a plus.

Responsibilities

• Develop techniques for enhancing software quality assurance for ML programs.
• Collaborate with researchers in Sweden, Canada, and Hungary.
• Contribute to an open-source software project.

Education

Master's degree in Software Engineering or related field

Tools

TensorFlow

scikit-learn

Job description

PhD student in Software Engineering for Machine Learning

December 15, 2022

PhD student position in Critical Software-Intensive Systems placed at the Department of Computer and Information Science, Linköping University.

The planned research aims to significantly enhance software quality assurance for machine learning (ML) programs written using popular ML libraries (e.g., TensorFlow, scikit-learn, etc.) by various static analysis techniques (such as type checking, anti-pattern detection, etc). You will develop mathematically well-founded, scalable techniques and effective software tools to detect flaws in ML programs prior to executing such programs. Your involvement in the development and maintenance of a related open-source software project is foreseen in close collaboration with other researchers and graduate students in Sweden, Canada and Hungary.

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