At PAICON we put healthcare first. We want to push the boundaries of the healthcare and diagnostic sector by harnessing the power of machine learning and cloud computing. We believe that digital health solutions will truly empower doctors and patients. Together with our enthusiastic AI-Team you can contribute to our vision in projects with real-world impact on patient care.

Tasks

You are a highly motivated and talented Master's student looking for an exciting thesis project or a 6-month internship? We are eager to supervise and support your Master's thesis in our cutting-edge AI research and development team. This is a unique opportunity to delve into deep learning in image processing within the field of cancer pathology.

Task

Conduct research on novel neural network architectures and their implementation in medical image analysis. We have several potential thesis topics, where you will

• Develop and test state of the art deep learning models for image processing in the field of pathology (segmentation, detection, self-supervised learning)
• Analyze and interpret data to evaluate the performance of developed models
• Collaborate with a multidisciplinary team to integrate new algorithms into existing systems
• Document research findings and contribute to publications

Shape with us the future of healthcare with Deep Learning.

Requirements

• Bachelor's degree in Computer Science, Applied Mathematics, Biostatistics, or a related field and currently enrolled in a Master's program
• Hands-on experience with Deep Learning for image processing/computer vision
• Proficiency in Python and PyTorch
• Self-motivated, proactive and able to work independently to drive research forward
• Curiosity and strong interest in medical image analysis

Benefits

• Gain hands-on experience in a cutting-edge field with direct applications in medical image analysis
• Work with a dynamic and supportive team of experts
• Access to advanced computational resources and tools in the cloud
• The thesis can be done fully remote or in our office in Heidelberg
• Potential for your work to be published in Conferences and Journals
• Competitive compensation package
• Have fun while you “grow” with our company!

We look forward to receiving your complete online application until the end of March including a one-page CV, letter(s) of recommendation, diplomas and course transcripts. Please combine all documents into a single PDF and upload it under the 'CV' section. Starting date is April or May.

We are looking forward to your application! Shape with us the future of healthcare!

A medical cloud and digital healthcare company focusing on diagnostic algorithms