Research Fellow (Postdoctoral) Alfaisal University

The College of Engineering and Advanced Computing at Alfaisal University invites applications for a full-time Research Fellow (Postdoctoral) position within the Translational Biomedical Engineering Research Lab and the Biomedical Engineering Department.

This position supports a strategic initiative aimed at developing the next generation of translational biomedical technologies by integrating artificial intelligence, biomedical systems, and clinical innovation. Translational biomedical engineering plays a pivotal role in bridging fundamental research with clinical practice, transforming scientific discoveries into deployable tools, intelligent medical systems, and patient-centered solutions that can improve diagnosis, treatment, and healthcare delivery.

The lab is dedicated to addressing real-world healthcare challenges by combining advanced AI methodologies with medical device design, physiological modeling, and health informatics.

The successful candidate will play a key role in advancing interdisciplinary research across domains such as:

• Machine Learning & AI for Healthcare
• Large Language Models (LLMs) and Multimodal Reasoning in Biomedicine
• Internet of Medical Things (IoMT)
• Medical Robotics and Smart Sensing
• Biomedical Signal and Image Processing
• Medical Device Design and Prototyping
• Computational Modeling and Simulation in Biomedicine
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Key Responsibilities

• Conduct original, high-impact research and publish in top-tier venues
• Engage with clinical, industrial, and governmental partners
• Support grant writing, open-source tool development, and technical workshops
• Mentor graduate and undergraduate students
• Contribute to the lab s (Translational Biomedical Engineering research lab) strategic research directions and interdisciplinary projects

Minimum Qualifications

• Ph.D. in Biomedical Engineering, Electrcial & Computer Science, Computer Engineering, Artificial Intelligence, or a closely related field (awarded in 2021 or later)
• Proven track record of first-author publications in high-impact, peer-reviewed journals or leading international conferences in AI, biomedical engineering, or healthcare technologies
• Advanced programming skills in Python and/or MATLAB, with demonstrated proficiency in machine learning and deep learning frameworks such as PyTorch, TensorFlow, or Keras
• Practical experience in applying Large Language Models (LLMs) and other foundation models in biomedical or clinical contexts
• Strong background in biomedical data analysis, including handling physiological signals, medical images, and structured clinical data (e.g., EHR, biosensor data)
• Demonstrated ability to build, validate, and optimize computational models for real-world biomedical and healthcare applications

Desirable Skills

• Experience developing end-to-end AI pipelines for biomedical applications, including data preprocessing, model training, validation, and integration with clinical workflows
• Experience with medical or physiological data analysis, including signals, images, and electronic health records.
• Familiarity with multimodal biomedical data and their application in diagnostic or predictive modeling
• Knowledge of AI model evaluation metrics and interpretability methods relevant to healthcare decision-making
• Experience with Physics-Informed Neural Networks for modeling physiological systems or solving inverse biomedical problems
• Proficiency in graph theory and Graph Neural Networks for modeling structured biomedical data such as anatomical networks or patient cohorts
• Hands-on experience with medical device prototyping, IoT integration, and sensor data acquisition
• Experience with hardware platforms and embedded systems for AI deployment in biomedical and clinical environments
• Knowledge of clinical validation processes, healthcare regulations, and integration of AI tools into clinical workflows
• Strong communication, teamwork, and project management skills in multidisciplinary research settings