Responsibilities

• Contribute to key stages of the development cycle for our models, from preparing data, training and evaluating models to improve our products.
• Collaborate with senior researchers to translate cutting-edge AI research into practical applications that have clinical implications.
• Execute on well-defined research tasks that contribute to our long-term ambitious goals.
• Translate research ideas 6 both from literature and from the team 6 into high-quality, working code.
• Contribute to publications and help share our findings with the research community.

Requirements

• An advanced degree MSc in Computer Science with experience in Machine learning (developed during course work and thesis) OR a PhD in a highly technical field (physics, mathematics, medicine, bioengineering, etc) and experience with classical ML.
• Demonstrated experience with the research process, which may include a thesis, publications, or significant research-focused projects.
• Proficiency in Python and experience with common machine learning frameworks (e.g., PyTorch, JAX, TensorFlow).
• Demonstrated ability to design experiments, and analyze and interpret their results.
• Must have or be able to obtain work authorization in Portugal.

Preferred Qualifications

• Demonstrated research potential, such as publications in peer-reviewed venues (including workshops) or a strong research-oriented Masters thesis.
• A strong research background in a highly quantitative field coupled with a passion to apply skills to AI for healthcare.
• A strong foundation and keen interest in Large Language Models (LLMs), multimodal learning, deep learning, or reinforcement learning.
• Experience implementing and debugging complex algorithms and systems.
• Strong communication skills and history of effective collaboration on projects.
• A record of academic excellence demonstrated through strong grades, fellowships, or open-source contributions.