Overview
This is an exciting opportunity for a fully funded PhD position focused on machine monitoring analytics and automation at Luleå University of Technology in Sweden. The position is situated within EISLAB, a research group dedicated to the advancement of Embedded Intelligent Systems, and aims to contribute significantly to the fields of machine learning and automation.
Background & Relevance
The research area encompasses critical themes such as the Internet of Things (IoT), digital transformation, and cyber-physical systems (CPS). With the increasing complexity of industrial systems, machine condition monitoring has become essential for ensuring operational efficiency and reliability. This PhD position aims to leverage machine learning techniques to enhance automation and improve human-machine interactions, making it a vital contribution to the AI/ML community.
Key Details
- Position: PhD student in Machine Monitoring Analytics
- Institution: Luleå University of Technology, Sweden
- Research Group: EISLAB, Department of Computer Science, Electrical and Space Engineering
- Project: PiiA/Vinnova-funded project KNOWIT FAST
- Application Deadline: 30 September 2019
- Reference Number: 3537-2019
- Link to Position: Luleå University Job Listing
Eligibility & Participation
Candidates should possess a master’s degree in Computer Science, Engineering Physics, Electrical Engineering, or a related field. The program is designed for individuals who are analytical and motivated, capable of conducting advanced research both independently and collaboratively. Proficiency in mathematics and programming is essential, while prior experience in machine learning is advantageous but not mandatory. Fluency in English, both written and spoken, is required.
Submission or Application Guidelines
To apply for this position, candidates should submit their application through the provided link. The application must include:
– A CV
– A personal letter
– Copies of verified diplomas from high school and universities
All documents should be submitted in English or Swedish, and the application should reference the specified number.
Additional Context / Real-World Relevance
The integration of machine learning in industrial applications is increasingly vital as industries strive for greater efficiency and automation. This PhD position not only contributes to academic research but also has practical implications in collaboration with industry partners, enhancing the relevance of the work conducted at EISLAB.
Conclusion
This PhD opportunity at Luleå University of Technology represents a significant step for aspiring researchers in the field of machine learning and automation. Interested candidates are encouraged to explore this position and apply, contributing to the advancement of technology in industrial settings.
Category: PhD & Postdoc Positions
Tags: machine learning, data science, iot, deep learning, natural language processing, human-machine interaction, unsupervised learning, lulea university, eislab
