KU Leuven

PhD: AI for data-driven representation optimization for time series

2024-07-19 (Europe/Brussels)
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The work will be performed within the research division STADIUS at the Department of Electrical Engineering (ESAT). STADIUS' major research objective is to contribute to the development of improved digital (control and signal processing) systems that incorporate advanced mathematical modeling techniques as a crucial new ingredient. Within STADIUS, the Biomedical Data Processing Research Group (Prof. Alexander Bertrand & Prof. Maarten De Vos) is dedicated to pushing the limits of biomedical data processing.
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Project

This job opening covers a PhD position (4 years) at the STADIUS-BIOMED group of the Electrical Engineering Dept. ESAT of KU Leuven (Belgium) in the frame of the AI initiative of the Flemish Government. The goal of this research is to develop new machine learning methods for data-driven selection and optimization of time series representations, with an application focus on (but not limited to) biomedical signal processing. The quality of the methods can be validated on EEG-based decoding tasks, cardiac abnormality detection, and/or others.

Profile

You have a master's degree in engineering with a background in any of the following domains: electrical or mathematical engineering, biomedical engineering, computer science, information technology, artificial intelligence, signal processing (or a similar degree with an equivalent academic level). 
You like mathematics and you have a solid mathematically-oriented background
You have a genuine interest in algorithms and methodologies for machine learning, artificial intelligence, and signal processing
You obtained good grades in courses related to the topics relevant to this PhD position
You are able to do independent research (demonstrated by, e.g., excellent grades on a MSc thesis, etc.)
You have a critical mindset
You have an excellent proficiency in the English language (both speaking and writing)

Offer

  • A funded PhD scholarship
  • An exciting interdisciplinary research environment
  • A KU Leuven affiliation, Europe's most innovative university and 7th in the world (Reuters)
  • The possibility to take part in international conferences and collaborations
  • A competitive salary

BIOMED website

Interested?

Interested applicants should submit:
- a motivation letter with a statement of skills and research interests
- a curriculum vitae
- a transcript of followed courses + grades
- the names and contact information of 2 references
!!! Important note: motivation letters are free format except for 2 required paragraphs:
1) Reason(s) why I am interested in this particular position: [write reasons here]
2) Facts or examples that demonstrate that I satisfy the listed requirements: [write reasons here]
The application deadline is 19 July 2024, but **earlier applications are encouraged** and will be considered as soon as they are received. The position can be closed earlier in case a suitable candidate has been found.

KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address.

Jobdetails

Titel
PhD: AI for data-driven representation optimization for time series
Arbeitgeber
Standort
Oude Markt 13 Löwen, Belgien
Veröffentlicht
2024-05-24
Bewerbungsfrist
2024-07-19 23:59 (Europe/Brussels)
2024-07-19 23:59 (CET)
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Über den Arbeitgeber

KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.

Besuchen Sie die Arbeitgeberseite