Haydar Ankishan
1 year ago
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Investigating the Relationship Between Blood Pressure and Speech Signals Ankara University in Turkey
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
Turkey
University
University Name
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Keywords
Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Medicine
Biotechnology
Artificial Intelligence
Medical Technology
Speech Recognition
Hypertension
Clinical Informatics
Voice Science
Big Data
Speech Communication
Non-invasive Diagnostics
Technical Engineering
Multidisciplinary Team
Diagnostic Tool
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
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We are looking for 2 PhD students to join our TUBITAK 1001 funded project! If you are passionate about cutting-edge research at the intersection of health technologies, machine learning, and voice analysis, this is your chance to contribute to a groundbreaking study.
Project Title:
"Investigating the Relationship Between Blood Pressure and Speech Signals Using Fusion-Based Machine Learning Techniques"
Project Summary:
The human voice is a complex system influenced by various physiological factors, including blood pressure, heart rate, emotional state, and more. Recent studies suggest a correlation between blood pressure and speech patterns, but a comprehensive understanding of this relationship is still lacking. Our project aims to explore this connection with higher accuracy and significance by using continuous blood pressure monitoring and simultaneous speech data collection. We will employ advanced machine learning techniques to analyze the data and develop innovative diagnostic and monitoring tools.
What We Offer:
A chance to work on a multidisciplinary project combining medicine and engineering.
Opportunity to contribute to the development of low-cost, non-invasive health monitoring technologies.
Access to a large dataset and state-of-the-art machine learning models.
A collaborative and dynamic research environment.
Who We Are Looking For:
Candidates with a Master’s degree in technical fields (engineering, computer science, biotechnology, etc.).
Basic knowledge of artificial intelligence and machine learning.
Strong motivation to learn, innovate, and take on challenges.
PhD students or candidates eligible to start a PhD program at Ankara University or other technical departments.
How to Apply:
If you are interested, please send your CV to [email protected] with the subject line "Doktora_bursiyer_basvurusu".
Let’s work together to push the boundaries of science and technology! ??
# PhD # Scholarship # MachineLearning # HealthTech # TUBITAK # ResearchOpportunity # VoiceAnalysis # ArtificialIntelligence
?? Heyecan Verici Firsat: Doktora Bursiyer Pozisyonlari Açiktir! ??
TUBITAK 1001 tarafindan desteklenen projemize katilmak üzere 2 doktora ögrencisi ariyoruz! Eger saglik teknolojileri, makine ögrenmesi ve ses analizi kesisiminde çigir açan bir arastirmaya katkida bulunmak istiyorsaniz, bu firsat tam size göre!
Proje Basligi:
"Füzyon Tabanli Makine Ögrenme Teknikleri Kullanarak Kan Basinci ve Konusma Sinyalleri Arasindaki Iliskinin Incelenmesi"
Nasil Basvurulur:
Ilgilenen adaylarin özgeçmislerini [email protected] adresine "Doktora_bursiyer_basvurusu" konu basligiyla göndermelerini rica ediyoruz.
Bilim ve teknolojinin sinirlarini birlikte zorlayalim! ??
# Doktora # Burs # MakineÖgrenmesi # SaglikTeknolojileri # TUBITAK # ArastirmaFirsati # SesAnalizi # YapayZeka