About Khalifa University

Khalifa University is ranked 181st in the QS World University Rankings 2023, and the top University in the UAE, with a range of research and academic programs designed to address the entire range of strategic, scientific and industrial challenges facing our rapidly evolving world.

Its world-class faculty and state-of-the-art research facilities provide an unparalleled learning experience to students from the UAE and around the world. Our research and academic activities cover a broad range of disciplines in engineering, science and medicine through our three colleges.

Khalifa University\'s research relates to key focus sectors of relevance to the UAE\'s strategic economic growth and the technology platforms that serve as foundations for these sectors. The University\'s research priorities are addressed in two categories - \xe2\x80\x9cverticals\xe2\x80\x9d and \xe2\x80\x9chorizontals\xe2\x80\x9d which jointly cover specific industry and sector needs, technical platforms and expertise.

KU\'s focus sectors are Clean and Renewable Energy, Hydrocarbon Exploration and Production, Water and Environment, Healthcare, Aerospace, and Supply Chain and Logistics. Research in these sectors is enhanced by our research platforms of Robotics, AI and Data Science, Information and Communication Technologies, and Advanced Materials and Manufacturing as well as Fundamental Sciences.

Position Overview

KU is seeking an experienced & highly motivated Research Scientist to work on a funded project to capture and analyze the features in medical data and images based on machine learning and fractal theory, to develop advanced analysis algorithms for medical data and images, which provide new perspectives and methods in bioinformatics, help doctors understand more comprehensively medical data and images, improve diagnostic accuracy and disease prediction, and support personalized healthcare.

As part of the project, the research scientist will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.

Qualifications

Position Requirements

• Help the principal investigator conduct research on the solution of small-scale data problem in medical data and images by establishing transfer learning models and fractal growth.
• Have sufficient fractal theory of analysis the multiple-scale medical images by combining machine learning, drive the development of new algorithms, and improve the research of fusing multiple-scale medical images.
• Optimize the deep learning by introducing fractal parameter to deep learning models, enhance the accuracy of machine learning models, achieve more accurate medical data and image analysis.
• Have the professional knowledge of fractal theory, understand the role of fractal in capturing self-similarity and multi-scale structure in images, with relevant research experience is preferred.
• Contribute to writing grant proposals, drafting papers, and attending conferences.
• Supervise graduate students and other junior team members, while training new team personnel on analysis medical image using fractal theory.

Candidate Profile

Essential Criteria

• PhD from a reputable university in a related discipline.
• Have sufficient knowledge in fractal theory with good publications.
• Experience of research project management and postgraduate-student supervision.
• Track record of writing successful research grant proposals
• A willingness to contribute to a collaborative and supportive team culture
• Ability to work both independently and as part of a team
• The proven ability to lead work on multiple tasks with competing demands and deadlines.
• Ability to train and mentor students and support fellow researchers
• Highly developed reasoning and problem-solving skills

Desired Criteria

• PhD degree and at least 8 years of working experience in universities or research institutes after PhD degree received.
• High impact first-author publications record with at least five papers published in SCI Q1 journals as the first author or corresponding author.
• Top-journal publications in fractal theory
• Awarded and completed national-level projects as the principal investigator.
• Successfully supervised post-graduate students.

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ( ).

Primary Location: Abu Dhabi UAE
Job: Research Scientist
Schedule: Regular
Shift: Standard
Job Type: Full-time

Times Higher Education