Position Overview

KU is seeking an experienced & highly motivated Research Scientist to work on devising Efficient and Adaptive Machine Learning for Vision Data Analytics. This research project focuses on developing machine learning algorithms and techniques that can efficiently and effectively handle the challenges posed by big data, including the scarcity of annotated data, class imbalance, and online learning. It involves developing active learning strategies that can select the most informative samples for annotation, developing robust and scalable algorithms that can handle class imbalance and devising online learning algorithms that can learn from data streams while adapting to changing environments and coping with data drift, model stability, bias, and fairness. Agile usage of the developed learning framework algorithm will also be accounted for by investigating proper real-time implementation models.

This research project aims to improve the scalability and accuracy of machine learning for visual data analytics by addressing the aforementioned challenges. This research will undergo validation through two testbed projects that are closely related to critical areas in healthcare and security. The first project will focus on the early detection of pathology in medical imaging, while the second project will involve the detection of threat items in baggage scans.

As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the C2PS ( ) and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.

Position Requirements

• In-depth knowledge in deep leanring modes for object/scene detection classification and recogntion
• Strong record in publications in high venues
• Adhere to the University\'s information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
• Perform any other tasks assigned by the Line Manager

Qualifications

Candidate Profile

Essential Criteria

• PhD from a reputable university in computer vision, computer scienced or related discipline
• At least four (4) years post-doctoral research experience and H-Index in SCOPUS/Google Scholar of at least 8
• Expert level knowledge project subject area as evidenced by relevant publications and or patents
• Track record of contributing to the writing of successful research grants
• A willingness to contribute to a collaborative and supportive team culture
• Excellent English language communication skills (verbal and written)
• 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 from and/or experience working in a top 200 QS or THE ranked University
• High impact first-author publications in top 10% journals in the relevant field
• Experience leading competitive research grants as principal investigator or named co-investigator in the project team

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