Summary
Alfaisal University is recruiting a full-time Postdoctoral Research Fellow for its Translational Biomedical Engineering Research Lab in Riyadh. The fellow will conduct and publish interdisciplinary research applying AI and biomedical engineering to healthcare, and collaborate with clinical, industrial, and government partners. Responsibilities also include supporting grants and open-source tools, mentoring students, and contributing to research projects. Applicants need a PhD awarded in 2021 or later in a relevant field, strong research publications, programming and machine learning experience, and practical experience applying large language models in biomedical or clinical settings.
The posting
As published on alfaisal.edu. Pulled from the employer's site and shown as they wrote it.
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
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
Benefits
Alfaisal University offers an internationally competitive compensation and benefits package, including:
- Attractive monthly salary
- Paid annual vacation
- Comprehensive healthcare coverage
- Office space and computing resources
- Access to the university’s research, clinical, and industrial networks
Application Process
Applicants should submit:
- A cover letter outlining their research interests and fit for the position
- A detailed curriculum vitae (CV)
- A list of publications
- Contact information for two academic/professional references
Applications will be reviewed on a rolling basis until the position is filled.
To apply or inquire further, please contact:
- Dr. Mohamed [email protected]
- Prof. Anis Koubaa [email protected]