Your tasks

• Defining and writing the study protocol
• Analysing existing radiographs and clinical data usings state of the art machine learning and deep learning techniques
• Collaborating with clinical experts 
• Writing manuscripts on your project
• Presenting your work at conferences

Your profile

Qualifications

• Master's degree in Computer Science, Data Science, Computational Biology and Bioinformatics, Health Sciences and Technology or related fields
• Strong programming skills in Python
• Excellent written and oral communication skills in English
• Willingness and passion to learn about biomedical applications of machine learning and deep learning models
• Ability to work both independently and collaboratively in a team environment
• Motivation, curiosity and willingness to learn

Preferred Qualifications

• Project experiences in developing deep learning models
• Experience developing machine learning and deep learning models (e.g., Tensorflow, PyTorch)
• Experience working with large datasets, high-performance computing environments, and Linux operating systems
• Experience analyzing and working with imaging data (e.g., radiographs)

We offer

• Opportunities to engage with different communities bridging machine learning and health research, leading to high-impact publications in machine learning, computer science and/or healthcare oriented venues.
• You will be part of a highly motivated, friendly and collaborative team.
• We will support your scientific career.
• You will be able to attend relevant (inter-)national conferences to increase your visibility and present the project outcomes.
• You will be involved in the supervision of undergraduate students and are also offered the possibility to be involved in teaching activities in the lab.
• We offer a flexible hybrid working environment.

We look forward to receiving your online application with the following documents:

• A letter of motivation (1-page max)
• CV
• Transcript from the MSc and/or BSc

The position is fixed for 3.5 years. Start is January 2025 or by agreement.
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For more information, please contact Dr. phil. Miriam Marks (Senior Research Associate Hand Surgery), miriam.marks@kws.ch; +41 44 385 75 81.