Publisher
source

Gerd Heilemann

1 year ago

AI in Medicine, Radiation Oncology Medical University of Vienna in Austria

Degree Level

PhD

Field of study

Oncology

Funding

Two funded PhD positions

Deadline

Expired

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Country

Austria

University

Medical University of Vienna

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Where to contact

Official Email

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Keywords

Oncology
Computer Science
Medicine
Deep Learning
Radiotherapy
Artificial Intelligence
Radiation Oncology
Reinforcement Learning
'medical Physics'
physicss
Medical

About this position

??Are you interested in working in the vibrant field of AI in medicine at Medical University of Vienna? ??We are excited to announce two funded PhD positions for ambitious candidates eager to revolutionize the field of hashtag#RadiationOncology through advanced hashtag#DeepLearning techniques.?????? What's In Store:?? Cutting-edge research in AI and Radiation Oncology.?? Work on really interesting research topics????? Mentorship from top-notch experts and access to state-of-the-art facilities.?? A dynamic, supportive research community?? Live in one of the most liveable cities worldwide – ViennaModern radiation oncology is poised for a significant breakthrough, focusing on delivering personalized care by adapting treatments in real-time to patients' anatomical changes. While advancements in image-guided systems and delivery techniques have paved the way, the full potential of real-time adaptive strategies remains untapped due to limitations in automation and speed within current Treatment Planning Systems (TPS).Our groundbreaking project aims to overcome these challenges by integrating cutting-edge Deep Learning (DL) and Reinforcement Learning (RL) technologies into the treatment planning process. We have three core objectives:?? Pioneer a Fully Autonomous Treatment Planning Pipeline: Develop the world's first radiation therapy planning system that operates independently of conventional TPS, leveraging advanced DL architectures.?? Explore Reinforcement Learning in Treatment Planning: Investigate how RL can enhance the planning process by directly optimizing machine parameters in Volumetric Modulated Arc Therapy (VMAT) plans in radiotherapy.?? Establish a Next-Generation Workflow: Create a real-time adaptive treatment workflow that significantly improves the effectiveness and safety of radiation therapy.?? Ready to Apply? Here's How:1?? Visit our online application portal: https://lnkd.in/dMQ79hrf2?? Submit your application by 15.11.2024, 23:55CET3?? Specify your interest in our lab and your research aspirations.?? Learn More:?? Visit our lab: https://lnkd.in/dd6pAiZY ?? https://lnkd.in/dMQ79hrf…more

Funding details

Two funded PhD positions

How to apply

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