Student Assistants in the field of MLOps
The Software Engineering Section at the Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, is recruiting student assistants to work on establishing reliable end-to-end MLOps practices for data-centric AI applications across cloud and edge environments.
Responsibilities:
• Research on ML models for ongoing projects,
• Establish scalable data and model infrastructure,
• Research and development of CI/CD for ML,
• Establish monitoring and observability for models and data,
• Perform evaluations,
• Write reports and document systems and code.
Competences and Skills:
• Experience in MLOps, cloud/edge computing, software architectures, data engineering/ML tooling, and reinforcement learning.
• Good collaboration capabilities.
Application Deadline is Sept 19, 2025.
The employment starts on Oct 1, 2025.
Further information about the position can be obtained from Associate Professor Mahyar T. Moghaddam, email: mtmo@mmmi.sdu.dk
Attachments must be in Adobe PDF.
Cover letter and CV must be max. fill 5 Mb.
The University of Southern Denmark wants to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position.
Please note, the selected candidate as Student Assistant or Academic Supervisor must be enrolled as student at SDU.
Application must include cover letter, CV and transcript of grades. All documents in connection with the application should not contain CPR number (civil registration number) – in that case, the CPR number must be crossed out.