PhD Holder in Computer Science -حملة الدكتوراه في علوم الحاسوب
UKF Academic · United Arab Emirates · Onsite
Hiring signal
Actively hiring
Posted yesterday · still listed on the employer's own board · How we score
All reasons
In its favour
- Posted yesterday
- Still listed on the employer's own board
Applicants should demonstrate expertise in one or more of the following fields:
Specialization
Illustrative areas of expertise
Cybersecurity
Systems and network security, cryptography, digital forensics, cloud and IoT security, privacy, or AI-driven cybersecurity
Artificial Intelligence
Machine learning, deep learning, generative AI, computer vision, natural language processing, or responsible AI
Computer Games Development
Game programming, game engines, computer graphics, interactive simulation, extended reality, or AI for games
Robotics
Autonomous systems, robot perception, planning and control, human–robot interaction, or marine robotics
Key Responsibilities
- Teaching and student development: Deliver engaging, academically rigorous courses; design practical learning experiences; supervise student projects; and provide effective academic advising and mentorship.
- Research and scholarship: Establish a focused research agenda, publish high-quality work in respected journals and conferences, and contribute to interdisciplinary research.
- Research funding: Develop competitive proposals and pursue external funding, independently and through collaborative partnerships.
- Curriculum and quality assurance: Contribute to curriculum development, assessment of learning outcomes, continuous improvement, and accreditation.
- Industry and community engagement: Develop partnerships that create opportunities for applied research, internships, student projects, and knowledge exchange.
- Academic service: Participate actively in College and University committees, professional activities, and initiatives supporting institutional development.
Essential Qualifications and Selection Criteria
- An earned PhD from a reputable university in the relevant specialization or a closely related discipline.
- A strong research record appropriate to the Assistant Professor rank, demonstrating quality, originality, and relevance through peer-reviewed publications.
- Demonstrated university-level teaching experience, supported by evidence of teaching effectiveness and student learning.
- Strong disciplinary knowledge and practical expertise relevant to the position.
- The ability to connect theoretical foundations with laboratory work, real-world applications, and project-based learning.
- Excellent communication skills in English and the ability to collaborate effectively in a diverse academic community.
- A commitment to academic integrity, inclusive teaching, and responsible research.
Desirable Qualifications
- A record of securing competitive research grants or making substantive contributions to funded projects.
- Relevant industry experience and successful academic–industry collaboration.
- Experience developing academic programmes, supporting accreditation, or establishing teaching and research laboratories.
- Evidence of innovation through patents, software, demonstrable systems, commercialization, or other significant disciplinary outputs.
- Experience supervising student research and collaborating across disciplines.
Application Materials
Applicants should submit
- A cover letter identifying the intended specialization and explaining their contribution to the College.
- A comprehensive curriculum vitae, including publications, teaching experience, and funded research.
- A teaching statement outlining their educational approach and evidence of effectiveness.
- A research statement describing their achievements, future agenda, and potential funding opportunities.
- Contact details for three academic referees.
Skills
- Machine Learning
- Deep Learning
- Generative AI
- Computer Vision
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