Responsibilities

• Design, develop, optimize, and document innovative AI models for blood pressure estimation from optical signals
• Analyze model limitations and devise strategies to enhance performance, addressing key challenges

Your profile

• Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a relevant field
• Experience in developing, fine-tuning, and evaluating neural network architectures on large-scale datasets
• Strong publication record in Machine Learning or AI
• Deep understanding of statistical learning, CNNs, and RNNs
• Proficiency in Python and machine learning frameworks (e.g., PyTorch, Scikit-learn, TensorFlow, etc.)
• Experience in time series analysis is a MUST.
• Experience in medical signal processing or time series analysis is a plus
• Strong communication skills in English (both written and spoken)
• Motivated, proactive, and curious, with a structured, solution-oriented mindset; a team player eager to learn
• Comfortable working in a multidisciplinary, multicultural, and diversity-oriented team
• Based in Switzerland, with a valid Swiss work permit

Benefits

• Pension
• Competitive compensation package based on experience
• Flexible work location (hybrid work schedule)