Position Overview
KU is seeking a highly motivated Research Associate to work on tracking, detection, segmentation, and classification of deep fishes under the sea. RA is expected to provide high quality research support and undertake internationally competitive research aimed at publication thereby contributing to the academic and research mission of the University. Since the RA experience is transitional to becoming an independent researcher or Ph.D candidate, the RA tries their best to acquire the varied skills necessary to advance their career with guidance from the advisor. These skills include, but are not limited to, the ability to present research plans and findings in a convincing style, both in oral and written modes of communication, the ability to understand research group management and supervision of others, the ability to establish contacts and network with colleagues pursuing a similar research agenda, the ability to organize a research plans if more inclined towards a industry leaser.
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As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the CENTER NAME (URL) and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.
Position Requirements
- M.Sc. in Electrical Engineering or Computer Science
- Research experience in deep learning and mechatronic
- 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
- Master’s degree in computer science or electrical engineering from a reputable university in or related discipline
- Experience of undertaking assigned research tasks and contributing to academic outputs
- A willingness to contribute to a collaborative and supportive team culture
- Excellent English language communication skills (verbal and written)
- Ability to function as part of a team working on multiple tasks with competing demands and deadlines
- Well-developed reasoning and problem-solving skills
Desired Criteria
- Masters gained from and/or experience working in a top 200 QS or THE ranked University
- At least 2 year of increasingly accountable relevant experience as a researcher in academia or in industry
- At least 1 lead author publication in a Q1 journal in the relevant field
- Experience contributing to high impact publications in top 10% journals in the relevant field
Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ([email protected] ).
Primary Location : KUK – Khalifa University
Job : Research Associate
Schedule : Regular Shift : Standard
Job Type : Full-time
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