Funded PhD and Postdoctoral Positions in Artificial Intelligence for Healthcare at ISR-Lisboa

University: Instituto Superior Técnico, University of Lisbon

Country: Portugal

Deadline: Not specified

Fields: Computer Science, Biomedical Engineering, Data Science, Electrical Engineering, Medical Informatics

Are you passionate about harnessing artificial intelligence to revolutionize healthcare, and eager to contribute to innovative research that bridges cutting-edge technology and clinical practice? If you aspire to advance your academic career by working on real-world challenges at the intersection of AI and medicine, this unique opportunity at ISR-Lisboa may be the perfect next step.

Healthcare is undergoing a digital transformation, with AI-driven solutions offering new possibilities for diagnosis, treatment planning, and patient management. However, integrating diverse data types, handling incomplete information, and simulating patient outcomes remain significant challenges. The available funded PhD and postdoctoral positions at ISR-Lisboa are designed to address precisely these issues, offering a stimulating environment for researchers who want to make a meaningful impact.

About The University Or Research Institute

The Institute for Systems and Robotics (ISR-Lisboa) is part of Instituto Superior Técnico, University of Lisbon, a leading institution renowned for its excellence in engineering, technology, and applied sciences. Located in Lisbon, Portugal, ISR-Lisboa is internationally recognized for its interdisciplinary research and collaboration with both academic and industry partners. The institute provides a vibrant academic environment, state-of-the-art facilities, and access to a network of esteemed researchers, making it an ideal place for ambitious scholars to pursue advanced research in AI and healthcare.

Research Topic and Significance

The Central Focus Of These Positions Is On Multimodal Data Integration For Healthcare Applications, Specifically In Oncology, Surgery, And Cardiovascular Diseases. The Research Will Address Several Pressing Topics

• Multimodal integration to develop a patient Digital Twin
• Handling missing modalities, even in extreme cases
• Simulation of a patient’s longitudinal evolution

These areas are at the forefront of AI research in medicine, aiming to create comprehensive digital representations of patients, manage incomplete or sparse datasets, and predict disease progression over time. The implications are far-reaching: improving patient outcomes, supporting clinical decision-making, and advancing personalized medicine. The research will also delve into explainability, causality, and generative AI (#genAI), ensuring that the developed solutions are transparent, reliable, and clinically relevant.

Also See

• Postdoctoral Position in Healthcare Data Science at Stanford University
• Postdoctoral Opportunity in In-Silico Clinical Trials for Cardiovascular Engineering at RWTH…
• PhD Opportunity in Signal Processing for Clinical Neuroscience at Maastricht University
• Fully Funded MSc/PhD Positions in Medical Robotics at the University of Calgary
• Ph.D. Opportunities in Biomedical Signal Processing and Instrumentation at Lehigh University

Project Details

Successful candidates will join ongoing National and European projects at ISR-Lisboa, working directly with clinicians to ensure that research outcomes are grounded in real-world healthcare needs. The positions are supervised by Dr. Catarina Barata, whose expertise lies in AI for medical applications. The projects emphasize close interdisciplinary collaboration, combining technical innovation with practical healthcare insights. Candidates will have the opportunity to contribute to impactful research, publish in top venues, and build a strong network within the AI and healthcare communities.

Candidate Profile

These Positions Are Open To Highly Motivated Researchers With a Strong Interest In Artificial Intelligence And Its Applications In Healthcare. Suitable Candidates Will Typically Have Backgrounds In

– Computer Science

– Data Science

– Biomedical Engineering

– Electrical Engineering

– Medical Informatics

Applicants should demonstrate proficiency in machine learning, data integration, or related areas, and an eagerness to work on topics such as explainability, causality, and generative AI. For the PhD position, candidates should hold a relevant master’s degree; for the postdoctoral position, candidates must have earned their PhD within the last three years. A collaborative mindset, problem-solving skills, and a passion for interdisciplinary research are essential.

Application Process

Interested candidates are invited to express their interest by sending their CV to Dr. Catarina Barata at: ana.c.fidalgo.barata[at]tecnico[dot]ulisboa[dot]pt

There is no specific application deadline mentioned; candidates are encouraged to apply as soon as possible as positions may be filled on a rolling basis.

Conclusion

If you are driven to advance the state of AI in healthcare and eager to work in a dynamic, collaborative research environment, do not miss this opportunity at ISR-Lisboa. Apply now to join a team that is shaping the future of digital medicine. For more opportunities like this, be sure to follow similar announcements and stay connected with the latest research openings.

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Qualifications

• Postdoctoral Position in Healthcare Data Science at Stanford University
• Postdoctoral Opportunity in In-Silico Clinical Trials for Cardiovascular Engineering at RWTH…
• PhD Opportunity in Signal Processing for Clinical Neuroscience at Maastricht University
• Fully Funded MSc/PhD Positions in Medical Robotics at the University of Calgary
• Ph.D
• Suitable Candidates Will Typically Have Backgrounds In
• Applicants should demonstrate proficiency in machine learning, data integration, or related areas, and an eagerness to work on topics such as explainability, causality, and generative AI
• For the PhD position, candidates should hold a relevant master’s degree; for the postdoctoral position, candidates must have earned their PhD within the last three years
• A collaborative mindset, problem-solving skills, and a passion for interdisciplinary research are essential

Benefits

Responsibilities

• However, integrating diverse data types, handling incomplete information, and simulating patient outcomes remain significant challenges
• The Central Focus Of These Positions Is On Multimodal Data Integration For Healthcare Applications, Specifically In Oncology, Surgery, And Cardiovascular Diseases
• The Research Will Address Several Pressing Topics
• Multimodal integration to develop a patient Digital Twin
• Handling missing modalities, even in extreme cases
• Simulation of a patient’s longitudinal evolution
• The implications are far-reaching: improving patient outcomes, supporting clinical decision-making, and advancing personalized medicine
• The research will also delve into explainability, causality, and generative AI (#genAI), ensuring that the developed solutions are transparent, reliable, and clinically relevant