PhD Scholarship in Biomedical Applications: Embark on a transformative journey of AI-driven image analysis in healthcare with a PhD position at Uppsala University. Join a vibrant interdisciplinary environment, leveraging cutting-edge research in computer science, machine learning, and biomedicine. Dive into a collaborative project focused on advancing cancer diagnostics and treatment through interpretable AI-based microscopy image analysis.
PhD Scholarship in Computerized Image Processing for Biomedical Applications
Summary Table:
- Study Area: Computerized Image Processing with Applications in Biomedicine
- Location: Uppsala, Sweden
- Eligibility/Qualification: Master’s degree in computer science, image analysis, machine learning, mathematics, or related fields. Proficiency in English, programming skills (especially Python), and a strong academic background are required. Additional experience in graph-based methods, explainable AI, biomedical research, and image analysis in medicine is advantageous.
- Last Date to Apply: May 24, 2024
Study Area: Computerized Image Processing with Applications in Biomedicine
Location: Uppsala, Sweden
Eligibility/Qualification: To qualify for the PhD position, candidates must hold a Master’s degree in computer science, image analysis, machine learning, mathematics, or a related field. Alternatively, they should have completed at least 240 credits in higher education, with at least 60 credits at the Master’s level, including an independent project worth at least 15 credits, or possess substantially equivalent knowledge acquired through other means. Specifically, candidates should have a minimum of 90 higher education credits in relevant areas such as image processing, computer vision, machine learning, deep learning, neural networks, and proficiency in programming languages including Python. Strong communication skills in English, along with personal attributes such as creativity, diligence, and structured problem-solving, are essential. Additional qualifications such as experience with graph-based methods, explainable AI, programming languages like Matlab, JavaScript, C++, Rust, software version control with Git, typesetting with LaTeX, Linux administration, Bash scripting, interest in biomedical research, and experience in applying image analysis in medicine are highly desirable.
Description: Uppsala University offers a stimulating environment for cutting-edge research, with a rich tradition of interdisciplinary collaboration. The successful candidate will join the MIDA (Methods for Image Data Analysis) group at the Department of Information Technology, engaging in a collaborative project with researchers from the Department of Immunology, Genetics, and Pathology. The research project focuses on developing interpretable AI-driven image analysis techniques for microscopy, with the goal of enhancing cancer diagnostics, predicting disease progression, and optimizing therapy outcomes. The PhD student will have the opportunity to shape the exact research topic in consultation with their supervisor.
How to Apply: Interested candidates should submit the following documents through Uppsala University’s recruitment system by May 24, 2024:
- Curriculum Vitae (CV)
- Copies of degree/diploma and transcripts of records with grades (translated into English or Swedish)
- Master’s thesis (or draft thereof) or other self-produced technical/scientific texts, scientific publications, and relevant documents in electronic form
- Contact information for two references (name, email, and phone number)
- A personal letter (max. 1 page) outlining reasons for applying and indicating the earliest possible starting date of employment.
Last Date: May 24, 2024
