PhD: AI for data-driven representation optimization for time series
Visualizza: 145
Giorno di aggiornamento: 18-11-2025
Località: Leuven Flemish Brabant
Categoria: IT - Software IT - Hardware / Reti Tecnologie dell’informazione
Industria:
Contenuto del lavoro
PhD: AI for data-driven representation optimization for time series
Laatst aangepast: 24/05/24
Project
Profiel
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)
Aanbod
- 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
Interesse
- 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:
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.
You can apply for this job no later than July 19, 2024 via the online application tool
- Sollicitatieprocedure
- Arbeidsvoorwaarden
- Loopbaanmogelijkheden
Heb je een vraag over de online sollicitatieprocedure? Raadpleeg onze veelgestelde vragen of stuur een e-mail naar solliciteren@kuleuven.be
19/07/2024 23:59 CET
Scadenza: 02-01-2026
Clicca per candidarti per un candidato gratuito
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