PhD Scholarship: AI Methodologies: KU Leuven’s STADIUS-BIOMED group within the Electrical Engineering Department (ESAT) offers a 4-year funded PhD scholarship focusing on developing machine learning methods for quality assessment and enhancement of time series data, with applications primarily in biomedical signals. The interdisciplinary research environment, access to international conferences, and competitive salary make this an exciting opportunity for qualified candidates.
PhD Scholarship Opportunity: Assessing and Enhancing Quality of Time Series Data with AI Methodologies
Summary Table
| Category | Details |
|---|---|
| Study Area | Electrical Engineering, Biomedical Engineering |
| Location | KU Leuven, Belgium |
| Eligibility | Master’s degree in relevant fields |
| Duration | 4 years |
| Application Deadline | July 15, 2024 (earlier applications encouraged) |
| Funding | Full PhD scholarship with competitive salary |
Study Area
Electrical Engineering with a focus on machine learning, artificial intelligence, and signal processing for biomedical applications.
Location
KU Leuven, Belgium.
Eligibility/Qualification
- Master’s degree in engineering (electrical, mathematical, biomedical), computer science, IT, AI, or related fields.
- Strong mathematical background and interest in algorithms, machine learning, AI, and signal processing.
- Good grades in relevant courses and a demonstrated ability for independent research.
- Excellent proficiency in English (speaking and writing).
Description
The PhD position involves developing new AI methods for assessing and enhancing the quality of time series data, especially biomedical signals such as ECG, EMG, and EEG. The research will be conducted in the STADIUS-BIOMED group under the guidance of Prof. Alexander Bertrand and Prof. Maarten De Vos. The role offers a stimulating research environment at KU Leuven, recognized as Europe’s most innovative university.
How to Apply
Interested candidates should submit the following documents:
- A motivation letter, including:
- Reasons for interest in the position.
- Examples demonstrating satisfaction of the listed requirements.
- Curriculum vitae.
- Transcript of followed courses and grades.
- Names and contact information of two references.
Applications should be submitted via the online application tool by July 15, 2024. Early applications are encouraged and will be reviewed upon receipt.
Last Date
July 15, 2024. Early applications are encouraged and will be considered as soon as they are received. The position may be filled before the deadline if a suitable candidate is found.
Thanks you for all