PhD Scholarship in Machine Learning: Luleå University of Technology (LTU) invites applications for a PhD student position in Machine Learning. This opportunity is part of the Machine Learning Research Laboratory’s initiative to explore advanced techniques for document analysis, contributing to significant societal transformation towards sustainability. The successful candidate will engage in innovative research, collaborate internationally, and gain valuable teaching experience.
PhD Scholarship in Machine Learning at Luleå University of Technology
Scholarship Overview
| Designation | PhD Student in Machine Learning |
|---|---|
| Research Area | Machine Learning |
| Location | Luleå, Sweden |
| Eligibility | Master’s degree in Computer Science or related field, experience in Machine Learning, Deep Learning, and Statistics, proficiency in English |
| Duration | 4 years (with potential 20% teaching duties) |
| Application Deadline | August 30, 2024 |
| Reference Number | 2011-2024 |
Details
Designation
PhD Student in Machine Learning
Research Area
Machine learning focuses on computational methods enabling computer systems to utilize data for improving performance, understanding, and making predictions, with strong applications in various domains.
Location
Luleå, Sweden
Eligibility/Qualification
- Academic Qualification: Master’s degree in Computer Science or a related field.
- Skills Required: Experience in Machine Learning, Deep Learning, and Statistics.
- Language Proficiency: Good command of English, both written and spoken.
- Personal Traits: Highly motivated, enthusiastic, capable of independent and team work.
Job Description
The PhD student will participate in a project aimed at developing machine learning methods for document analysis, dealing with a variety of documents from historical manuscripts to modern blueprints. Responsibilities include:
- Conducting experimental and theoretical research.
- Publishing and presenting results at conferences and in scientific journals.
- Collaborating with researchers and archives nationally and internationally.
- Potential involvement in teaching activities up to 20% of the time.
How to Apply
Applicants should submit the following documents:
- CV
- Personal letter
- Verified diplomas from high school and universities
Applications should be written in English or Swedish and marked with the reference number 2011-2024. Please apply through the specified apply button on the LTU website.
Contact Information
For more information, please contact:
- Professor Elisa Barney: +46 920 49 2194, elisa.barney@ltu.se
- Union Representatives:
- SACO-S Kjell Johansson: +46 920-49 1529, kjell.johansson@ltu.se
- OFR-S Lars Frisk: +46 920-49 1792, lars.frisk@ltu.se
Last Date to Apply
August 30, 2024
Reference Number
2011-2024
Join LTU in shaping the future with cutting-edge research and contribute to building sustainable societies worldwide!
