Ammar Alsheghri

King Fahd University of Petroleum and Minerals (KFUPM) is hiring a postdoctoral researcher in deep learning for medical imaging and multimodal medical image and data analysis . The role is aimed at highly motivated recent PhD graduates and is especially relevant for candidates working in computer science , biomedical engineering , medical science , and related AI/image analysis areas. Research topics mentioned include classification, segmentation, generation, and regression for medical imaging, as well as multimodal analysis of medical images and data. Eligibility highlights: PhD awarded in 2024 or later from a reputable university, strong record of ISI-indexed publications, and demonstrated research excellence in relevant fields. Funding and benefits: competitive tax-free salary, housing allowance, comprehensive medical coverage, 30 days of paid annual leave, and more. How to apply: send your CV to [email protected]. Only shortlisted candidates will be contacted.

A postdoctoral position is available at King Fahd University of Petroleum and Minerals (KFUPM) in Saudi Arabia, supervised by Professor Ammar Alsheghri. The research areas include advanced polymers, additive manufacturing, finite element analysis (FEA), characterization, and the integration of machine learning with physics-based modeling. The ideal candidate will have a recent doctoral degree from a reputed university and a strong record of ISI publications. The position offers a competitive salary, housing allowance, medical services, and 30-days paid annual vacation, making it an attractive opportunity for researchers interested in materials science, polymer science, and mechanical engineering. Interested applicants should send their CVs to [email protected]. Only short-listed candidates will be contacted.

A postdoctoral position is available at King Fahd University of Petroleum and Minerals (KFUPM) under the supervision of Professor Ammar Alsheghri. The research focuses on two main areas: deep learning for medical imaging—including classification, segmentation, generation, and regression—and the integration of machine learning with physics-based modeling. This opportunity is ideal for candidates interested in advancing the intersection of artificial intelligence, medical science, and physics. Applicants must possess a recent Doctoral degree from a reputed university and demonstrate a strong record of ISI-indexed publications. The position offers a competitive salary, housing allowance, medical services, and 30-days paid annual vacation, making it an attractive opportunity for postdoctoral researchers seeking to further their careers in a dynamic and well-supported environment. Interested candidates should send their CVs to Professor Ammar Alsheghri at [email protected]. Only short-listed candidates will be contacted for further steps. For more information, refer to the LinkedIn profile and post provided in the announcement. Key research areas include deep learning, medical imaging, machine learning, and physics-based modeling. The position is based in Saudi Arabia at KFUPM, a leading institution in the region for research in artificial intelligence and related fields.