Halmstad University
1 week ago
PhD Position in Machine Learning for Time-Series Data at Halmstad University Halmstad University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
The position is tied to two funded projects: ENGADE and UNIFY-AI. The post indicates the PhD student role is funded, but does not specify stipend amount, tuition coverage, or contract details.
Deadline
Oct 19, 2026
Country
Sweden
University
Halmstad University

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About this position
Halmstad University is hiring a PhD student in Machine Learning at CAISR. The project focuses on time-series data and connects two funded research efforts: ENGADE and UNIFY-AI.
ENGADE develops theoretically grounded, diffusion-based methods for anomaly detection in multivariate and multiscale time series, with attention to concept drift and explainability. UNIFY-AI, together with Volvo, builds a time-series foundation model trained on heterogeneous fleet data for industrial aftermarket and uptime applications.
This is a PhD opening, not a postdoc or master’s call. The post says the position is funded through the two projects, but it does not provide stipend, tuition, or other financial specifics.
Applicants should be interested in machine learning, time-series analysis, anomaly detection, and industrial AI applications. No additional eligibility details are stated in the post.
Deadline: 19 October 2026.
How to apply: Use the application link in the post and submit before the deadline.
Funding details
The position is tied to two funded projects: ENGADE and UNIFY-AI. The post indicates the PhD student role is funded, but does not specify stipend amount, tuition coverage, or contract details.
What's required
Applicants should be interested in a PhD in machine learning and able to work on time-series data, anomaly detection, concept drift, explainability, and foundation models. The post does not specify degree prerequisites, language tests, GPA, or other formal eligibility criteria.
How to apply
Apply by 19 October 2026 using the linked application page. Review the project focus and submit your application through the provided link.
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